You bring Seattle Coffee Gear's passion for great coffee to life through one-on-one customer interactions and live product demonstrations, helping customers understand brewing methods, espresso fundamentals, and coffee equipment in a practical, approachable way.

In this role, you focus on engaging customers in real time, listening to their needs, demonstrating products, and translating technical features into clear benefits.

Key Responsibilities

Customer Experience & Brand Representation

• Represent Seattle Coffee Gear's brand and culture by creating memorable, educational experiences that inspire repeat visits and customer loyalty.
• Lead engaging and informative coffee brewing demonstrations that showcase Seattle Coffee Gear's expertise and unique competitive edge offerings.
• Educate customers on a variety of brewing techniques, including pour-over, French Press, AeroPress, espresso, cold brew, and coffee art.
• Guide customers in selecting coffee beans based on flavor profiles, roast levels, and origin.
• Maintain a 'coffee-ready' environment by ensuring quality and consistency across in-store brewing and demonstrations.

Sales & Business Performance

• Recommend appropriate coffee equipment and maintenance practices based on customer needs.
• Promote and sell coffee products, equipment, and accessories through product demonstrations.
• Assist the store in achieving revenue goals by driving customer engagement and conversion through education.
• Consistently meet or exceed store goals by delivering exceptional customer engagement and sales.

Team Engagement & Store Support

• Partner with store leaders to ensure alignment with store priorities.
• Collaborate on merchandising strategies that highlight key tools and products featured in classes.

Operations & Compliance

• Ensure compliance with food safety standards, local health codes, and sanitation regulations.
• Maintain accurate inventory levels, minimize shrink, and control supply and culinary expenses.
• Ensure store safety and cleanliness, addressing any maintenance needs promptly.
• Adhere to applicable wage and hour laws.

Physical Requirements

• Ability to communicate verbally and work cooperatively with associates and customers.
• Ability to remain standing for up to 4 hours at a time.
• Ability to move about the store directing class participants while selling to customers and retrieving merchandise from stockroom or sales floor.
• The capability to accurately perceive and differentiate variations in intensity or quality of flavors or odors, or to identify specific tastes or scents using the tongue or nose.
• Ability to grab, reach, push, pull, bend, stoop, kneel, and crouch to retrieve and replenish merchandise from stockroom or sales floor.
• Ability to use hands to seize, hold, grasp, turn, or otherwise to grind, tamp, steam, pour, froth, and/or demonstrate other coffee brewing techniques.
• Ability to lift and/or move merchandise weighing up to 50 lbs.
• Ability to ascend/descend ladders to retrieve and/or move merchandise.
• Ability to operate a computer, POS system, keyboards, merchandise scanners and mouse to accomplish work.
• Available to work between 12 and 16 hours per week, with a flexible schedule, including nights, weekends, and holidays.

Qualifications & Experience

• Must be 18 years of age or older at time of employment.
• Passion for coffee and in-depth knowledge of brewing methods, coffee origins and equipment.
• Ability to create engaging, hands-on experiences for customers.
• Strong enthusiasm for coffee and a genuine eagerness to share knowledge with others.
• Excellent communication, problem-solving, and decision-making abilities.
• Passion for community engagement and delivering exceptional customer experiences.
• Proficiency in Microsoft Office and retail management systems preferred.

$19 - $19.75 an hour

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Key Responsibilities

Leadership & Team Development

• Supports the recruitment, training, and ongoing development of a high-performing team to meet the culinary business needs.
• Leads, coaches, and inspires associates to exceed performance expectations and uphold a positive team culture.
• Provides in-the-moment coaching and feedback to elevate performance and team engagement.

Customer Experience & Brand Representation

• Represents Sur La Table’s brand and culture by creating memorable, educational experiences that inspire repeat visits and customer loyalty.
• Maintains expertise by staying current on products, actively engaging in available training, and independently seeking out additional resources.
• Ensures an outstanding cooking class experience in every session by following provided recipes and game plans while holding employees accountable for quality and execution.

Sales & Business Performance

• Assists with driving sales growth by implementing strategies to enhance the culinary and retail business.
• Analyzes key performance metrics daily and leverages insights to optimize store performance.
• Consistently meets or exceeds culinary program goals by delivering exceptional classes that drive customer engagement and sales.

Operations & Compliance

• Ensures compliance with food safety standards, local health codes, and sanitation regulations.
• Properly handles all tools, ingredients, and kitchen equipment to maintain a safe and efficient work environment.
• Maintains accurate inventory levels, minimizes shrink, and controls supply and culinary expenses.

Physical Requirements

• Ability to communicate verbally and work cooperatively with associates and customers.
• Ability to remain standing for up to 4 hours at a time.
• Ability to move about the store coaching and directing associates and/or class participants while selling to customers.

Qualifications & Experience

• Must be 21 years of age or older at the time of employment.
• A degree in culinary arts is preferred; however, candidates with extensive culinary experience and demonstrated technical proficiency will be considered in lieu of formal education.
• 1-2 years of progressively responsible kitchen management experience.
• Valid Food Manager Certification.
• Excellent communication, problem-solving, and decision-making abilities.

Salary

• $21.13 - $22.48 an hour

Benefits

• 401K after 90 days; must be 21 years of age
• Employee Discount
• Employee Assistance Program

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With a passion for cooking, hospitality, and teamwork, the Kitchen Assistant supports the chefs to ensure smooth class operations and a #bestincenter experience, a company-wide standard for excellence in service.

Key Responsibilities

• Represent Sur La Table's brand and culture by creating memorable, educational experiences that inspire repeat visits and customer loyalty.
• Maintain expertise by staying current on products, actively engaging in available training, and independently seeking out additional resources.
• Ensure exceptional customer experience by leading a customer-focused, Guest Obsessed culture in both the kitchen and retail sales floor.
• Assist chefs with class execution that drives repeat visits and positive customer feedback.
• Deliver class revenue goals by ensuring high enrollment, positive reviews, and guest return rates.
• Consistently meet or exceed monthly sales goals, contributing to overall store revenue.
• Assist in setting up and breakdown of classes including organizing mise en place, prepping ingredients, and cleaning workstations.
• Clean and sanitize dishes and equipment promptly to ensure smooth kitchen operations.
• Assist with restocking, organizing, and maintaining kitchen supplies and tools to support overall store readiness.
• Ensure compliance with food safety standards, local health codes, and sanitation regulations.
• Properly handle all tools, ingredients, and kitchen equipment to maintain a safe and efficient work environment.
• Maintain accurate inventory levels, minimize shrink, and control supply and culinary expenses.

Physical Requirements

• Ability to communicate verbally and work cooperatively with associates and customers.
• Ability to remain standing for up to 4 hours at a time.
• Ability to move about the store directing class participants while selling to customers and retrieving merchandise from stockroom or sales floor.
• The capability to accurately perceive and differentiate variations in intensity or quality of flavors or odors, or to identify specific tastes or scents using the tongue or nose.
• Ability to grab, reach, push, pull, bend, stoop, kneel and crouch to demonstrate, retrieve and/or replenish merchandise and/or cooking equipment.
• Ability to use hands to seize, hold, grasp, turn, or otherwise to chop, whisk, slice, stir, juice and/or demonstrate other techniques.
• Ability to lift and/or move merchandise weighing up to 50 lbs.
• Ability to ascend/descend ladders to retrieve and/or move merchandise.
• Ability to operate a computer, POS system, keyboards, merchandise scanners and mouse to accomplish work.
• Available to work between 12 and 16 hours per week, with a flexible schedule, including nights, weekends, and holidays.

Qualifications & Experience

• Must be 18 years of age or older at the time of employment.
• 1 year retail sales experience, preferred.
• 1 year food prep and/or kitchen operations experience, preferred.
• Valid Food Handlers Certification.
• Excellent communication, problem-solving, and decision-making abilities.
• Passion for community engagement and providing exceptional customer experiences.
• Proficiency in Microsoft Office Suite and retail systems preferred.

Benefits

• 401K after 90 days; must be 21 years of age.
• Employee Discount.
• Employee Assistance Program.

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Responsibilities:

• Align with the AdOps team each month on which campaigns are included in reporting, then create and consistently publish reports for all custom A&S inventory across EA titles.
• Act as the A&S business lead with AdTech on report automation , define requirements, validate output, and cut manual steps out of the monthly cycle.
• Collaborate with the Product Management team to ensure new inventory is included in standardized reporting.
• Maintain documentation of reporting queries and KPI calculations so results are reproducible and auditable.
• Bridge the reporting gap for A&S inventory in mobile titles and work towards automation.
• Build and maintain the A&S team dashboards, to support the Sales, AdOps, Product Management, and Revenue Strategy functions.
• Manage access and permissions for A&S dashboards.
• Apply working knowledge of data engineering concepts to design and maintain internal A&S data models and databases as well as provide inputs and guidance to AdTech partners on data pipeline migration.
• Build partnerships with studio analytics teams to understand each team's data taxonomy.
• Fulfill ad hoc telemetry and data requests across the A&S team.

Qualifications:

• 1+ years of experience in analytics, reporting, or business intelligence; internship experience counts.
• Bachelor, MBA or Master's degree in Statistics or related field with knowledge in the application of statistics using analytics software.
• Database knowledge including table structures, views, queries, and SQL statements including window/analytic functions.
• Competent with at least one analytics software package (Python, R, SAS, or SPSS) and comfortable working in Excel (can write advanced macros).
• Hands-on experience building and maintaining dashboards in a BI tool (e.g., Tableau, Power BI, or Looker), and generating graphs and visuals that make an insight easy to understand.
• Summarize data using the right statistical terms and explain those concepts to non-statistical audiences in plain language.
• Familiar with core data engineering concepts , pipelines, schemas, ETL, and telemetry , enough to be a useful partner to engineering teams.
• Clear documentation habits, and prioritization recommendations, give effort estimates, and flag scheduling conflicts early.
• An interest in games: you play EA titles across platforms and follow industry and tech news.
• Exposure to digital advertising metrics (impressions, reach and frequency, viewability) or game telemetry data.
• Familiar with cloud data warehouses (e.g., Snowflake, BigQuery, Redshift).

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You will partner with AdOps, AdTech, Product Management, and game analytics groups across game studios to ensure reporting data remains precise, documented, and streamlined through automation. Operating on assignments of moderate complexity, you will independently handle the standard reporting rhythm while collaborating on new projects.

Responsibilities:

• Align with the AdOps team each month on which campaigns are included in reporting, then create and consistently publish reports for all custom A&S inventory across EA titles.
• Act as the A&S business lead with AdTech on report automation , define requirements, validate output, and cut manual steps out of the monthly cycle.
• Collaborate with the Product Management team to ensure new inventory is included in standardized reporting.
• Maintain documentation of reporting queries and KPI calculations so results are reproducible and auditable.
• Bridge the reporting gap for A&S inventory in mobile titles and work towards automation.
• Build and maintain the A&S team dashboards, to support the Sales, AdOps, Product Management, and Revenue Strategy functions.
• Manage access and permissions for A&S dashboards.
• Apply working knowledge of data engineering concepts to design and maintain internal A&S data models and databases as well as provide inputs and guidance to AdTech partners on data pipeline migration.
• Build partnerships with studio analytics teams to understand each team's data taxonomy.
• Fulfill ad hoc telemetry and data requests across the A&S team.

Qualifications:

• 1+ years of experience in analytics, reporting, or business intelligence; internship experience counts.
• Bachelor, MBA or Master's degree in Statistics or related field with knowledge in the application of statistics using analytics software.
• Database knowledge including table structures, views, queries, and SQL statements including window/analytic functions.
• Competent with at least one analytics software package (Python, R, SAS, or SPSS) and comfortable working in Excel (can write advanced macros).
• Hands-on experience building and maintaining dashboards in a BI tool (e.g., Tableau, Power BI, or Looker), and generating graphs and visuals that make an insight easy to understand.
• Summarize data using the right statistical terms and explain those concepts to non-statistical audiences in plain language.
• Familiar with core data engineering concepts , pipelines, schemas, ETL, and telemetry , enough to be a useful partner to engineering teams.
• Clear documentation habits, and prioritization recommendations, give effort estimates, and flag scheduling conflicts early.
• An interest in games: you play EA titles across platforms and follow industry and tech news.
• Exposure to digital advertising metrics (impressions, reach and frequency, viewability) or game telemetry data.
• Familiar with cloud data warehouses (e.g., Snowflake, BigQuery, Redshift).

Salary:

• California: $98,200 - $155,200 USD
• Washington: $93,800 - $122,000 USD

Benefits:

• Paid time off (3 weeks per year to start)
• 80 hours per year of sick time
• 16 paid company holidays per year
• 10 weeks paid time off to bond with baby
• Medical/dental/vision insurance
• Life insurance
• Disability insurance
• 401(k) to regular full-time employees

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Responsibilities:

• Align with the AdOps team each month on which campaigns are included in reporting, then create and consistently publish reports for all custom A&S inventory across EA titles.
• Act as the A&S business lead with AdTech on report automation , define requirements, validate output, and cut manual steps out of the monthly cycle.
• Collaborate with the Product Management team to ensure new inventory is included in standardized reporting.
• Maintain documentation of reporting queries and KPI calculations so results are reproducible and auditable.
• Bridge the reporting gap for A&S inventory in mobile titles and work towards automation.
• Build and maintain the A&S team dashboards, to support the Sales, AdOps, Product Management, and Revenue Strategy functions.
• Manage access and permissions for A&S dashboards.
• Apply working knowledge of data engineering concepts to design and maintain internal A&S data models and databases as well as provide inputs and guidance to AdTech partners on data pipeline migration.
• Build partnerships with studio analytics teams to understand each team's data taxonomy.
• Fulfill ad hoc telemetry and data requests across the A&S team.

Qualifications:

• 1+ years of experience in analytics, reporting, or business intelligence; internship experience counts.
• Bachelor, MBA or Master's degree in Statistics or related field with knowledge in the application of statistics using analytics software.
• Database knowledge including table structures, views, queries, and SQL statements including window/analytic functions.
• Competent with at least one analytics software package (Python, R, SAS, or SPSS) and comfortable working in Excel (can write advanced macros).
• Hands-on experience building and maintaining dashboards in a BI tool (e.g., Tableau, Power BI, or Looker), and generating graphs and visuals that make an insight easy to understand.
• Summarize data using the right statistical terms and explain those concepts to non-statistical audiences in plain language.
• Familiar with core data engineering concepts , pipelines, schemas, ETL, and telemetry , enough to be a useful partner to engineering teams.
• Clear documentation habits, and prioritization recommendations, give effort estimates, and flag scheduling conflicts early.
• An interest in games: you play EA titles across platforms and follow industry and tech news.
• Exposure to digital advertising metrics (impressions, reach and frequency, viewability) or game telemetry data.
• Familiar with cloud data warehouses (e.g., Snowflake, BigQuery, Redshift).

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Responsibilities:

• Align with the AdOps team each month on which campaigns are included in reporting, then create and consistently publish reports for all custom A&S inventory across EA titles.
• Act as the A&S business lead with AdTech on report automation , define requirements, validate output, and cut manual steps out of the monthly cycle.
• Collaborate with the Product Management team to ensure new inventory is included in standardized reporting.
• Maintain documentation of reporting queries and KPI calculations so results are reproducible and auditable.
• Bridge the reporting gap for A&S inventory in mobile titles and work towards automation.
• Build and maintain the A&S team dashboards, to support the Sales, AdOps, Product Management, and Revenue Strategy functions.
• Manage access and permissions for A&S dashboards.
• Apply working knowledge of data engineering concepts to design and maintain internal A&S data models and databases as well as provide inputs and guidance to AdTech partners on data pipeline migration.
• Build partnerships with studio analytics teams to understand each team's data taxonomy.
• Fulfill ad hoc telemetry and data requests across the A&S team.

Qualifications:

• 1+ years of experience in analytics, reporting, or business intelligence; internship experience counts.
• Bachelor, MBA or Master's degree in Statistics or related field with knowledge in the application of statistics using analytics software.
• Database knowledge including table structures, views, queries, and SQL statements including window/analytic functions.
• Competent with at least one analytics software package (Python, R, SAS, or SPSS) and comfortable working in Excel (can write advanced macros).
• Hands-on experience building and maintaining dashboards in a BI tool (e.g., Tableau, Power BI, or Looker), and generating graphs and visuals that make an insight easy to understand.
• Summarize data using the right statistical terms and explain those concepts to non-statistical audiences in plain language.
• Familiar with core data engineering concepts , pipelines, schemas, ETL, and telemetry , enough to be a useful partner to engineering teams.
• Clear documentation habits, and prioritization recommendations, give effort estimates, and flag scheduling conflicts early.
• An interest in games: you play EA titles across platforms and follow industry and tech news.
• Exposure to digital advertising metrics (impressions, reach and frequency, viewability) or game telemetry data.
• Familiar with cloud data warehouses (e.g., Snowflake, BigQuery, Redshift).

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As a Data Analyst (Ads & Sponsorships), you will manage monthly reporting deliverables for in-game advertising inventory and develop scalable data models and essential dashboards for the Ads & Sponsorships (A&S) team. You will partner with AdOps, AdTech, Product Management, and game analytics groups across game studios to ensure reporting data remains accurate, documented, and streamlined through automation.

Responsibilities:

• Align with the AdOps team each month on which campaigns are included in reporting, then create and consistently publish reports for all custom A&S inventory across EA titles.
• Act as the A&S business lead with AdTech on report automation , define requirements, validate output, and eliminate manual steps from the monthly cycle.
• Collaborate with the Product Management team to ensure new inventory is included in standardized reporting.
• Maintain documentation of reporting queries and KPI calculations so results are reproducible and auditable.
• Bridge the reporting gap for A&S inventory in mobile titles and work towards automation.
• Build and maintain the A&S team dashboards to support Sales, AdOps, Product Management, and Revenue Strategy functions.
• Manage access and permissions for A&S dashboards.
• Apply working knowledge of data engineering concepts to design and maintain internal A&S data models and databases, and provide inputs and guidance to AdTech partners on data pipeline migration.
• Build partnerships with studio analytics teams to understand each team's data taxonomy.
• Fulfill ad hoc telemetry and data requests across the A&S team.

Qualifications:

• 1+ years of experience in analytics, reporting, or business intelligence; internship experience counts.
• Bachelor's, MBA, or Master's degree in Statistics or a related field with knowledge in the application of statistics using analytics software.
• Database knowledge, including table structures, views, queries, and SQL statements, including window/analytic functions.
• Competent with at least one analytics software package (Python, R, SAS, or SPSS) and comfortable working in Excel (can write advanced macros).
• Hands-on experience building and maintaining dashboards in a BI tool (e.g., Tableau, Power BI, or Looker), and generating graphs and visuals that make an insight easy to understand.
• Summarise data using the right statistical terms and explain those concepts to non-statistical audiences in plain language.
• Familiar with core data engineering concepts , pipelines, schemas, ETL, and telemetry , enough to be a useful partner to engineering teams.
• Clear documentation habits, prioritisation recommendations, give effort estimates, and flag scheduling conflicts early.
• An interest in games: you play EA titles across platforms and follow industry and tech news.
• Exposure to digital advertising metrics (impressions, reach and frequency, viewability) or game telemetry data.
• Familiar with cloud data warehouses (e.g., Snowflake, BigQuery, Redshift).

Benefits: Electronic Arts offers a comprehensive benefits package, including medical insurance, mental wellbeing support, pension plans, paid time off, family leave, free games, and more. We foster environments where our teams can give their best in what they do.

Equal Opportunities: Electronic Arts offers equal opportunities. All employment decisions are made without regard to race, colour, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, disease, pregnancy, marital status, family status, military status, or any other characteristic protected by law.

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Central Technology is the force multiplier, accelerating creative opportunity and progress at EA. We're a world-class community of technologists, innovators, strategists, and orchestrators transforming interactive entertainment. Together, we power the platforms, AI-driven tools, live services, and infrastructure that ensure global scale, secure player experiences, and unlock bold new possibilities.

EA Security protects our players, employees, products, and platforms. We set security standards, support game and enterprise teams, assess risk across partners and systems, and ensure compliance with global requirements. Our work strengthens system integrity, supports fair play, and enables teams to build and operate securely at scale.

The Senior Machine Learning Engineer will report to the Senior Manager, EA Player Security Data Labs. You will follow a hybrid work model with a mix of remote work and in-office collaboration. This role focuses on building and operating production-grade data and machine learning infrastructure that enables data scientists and analysts to deliver fraud detection, anti-cheat, and account security solutions across EA games.

Responsibilities:

• Design, build, and maintain scalable data ingestion, transformation, and feature pipelines that support machine learning workflows for fraud and anti-cheat systems.
• Own and operate production data and machine learning infrastructure, including batch and near-real-time data processing, feature generation, training workflows, and inference pipelines.
• Partner with data scientists to productionize machine learning models, with a strong focus on data consistency, data quality, and reliable offline and online feature computation.
• Ensure data and machine learning pipelines are reliable, repeatable, observable, and cloud-agnostic across environments.
• Contribute to architectural standards, platform design decisions, and engineering best practices as a senior individual contributor within EA Player Security Data Labs.

Qualifications:

• Five or more years of professional experience in data engineering, machine learning engineering, or a closely related role with production ownership.
• Strong proficiency in Python and SQL, with demonstrated experience building and maintaining large-scale, production-grade data pipelines. Rust experience is a plus.
• Experience designing and operating data-intensive systems using modern programming languages, including Rust.
• Hands-on experience supporting end-to-end machine learning workflows, with an emphasis on data preparation, feature pipelines, and model deployment infrastructure.
• Experience working in cloud environments such as AWS or GCP, including large-scale data processing systems.
• Experience with containerization and orchestration technologies such as Docker and Kubernetes.
• Experience with CI/CD systems and production deployment workflows, including GitLab.
• Experience with Terraform and Spark.

Why You Will Enjoy This Role:

• You will work on data and machine learning systems that protect millions of players from fraud and cheating.
• You will operate as a senior individual contributor with strong technical ownership and autonomy.
• You will design and build core data infrastructure that powers machine learning across EA Player Security.

Why We Are Excited About This Role:

• We build systems that directly protect player trust and fair play across EA games.
• We value strong data engineering fundamentals and production-focused machine learning.
• We support senior engineers with autonomy and opportunities to shape long-term technical direction.

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Responsibilities:

• Recommend measurement solutions to advertisers and help them interpret results.
• Build custom performance analyses with advertisers and vendors, packaging results for the Sales team.
• Onboard and manage measurement partners, from evaluation through integration.
• Track partner performance against the roadmap and manage renewals.
• Collaborate with the AdTech team on technical integrations, including data pipelines and clean rooms.
• Research new measurement tools and trends, recommending adoption.
• Collect partner and client feedback, sharing it with Product and Engineering teams.
• Resolve daily partner and client issues, escalating to the Director when needed.

Qualifications:

• 5+ years in ad measurement, verification, or marketing analytics.
• Working knowledge of measurement/verification vendors (e.g., DoubleVerify, IAS, HUMAN).
• Familiarity with data clean rooms (e.g., InfoSum, LiveRamp).
• Experience managing external partners or vendors.
• Client-facing experience explaining data to non-technical audiences.
• Comfortable working hands-on with data and analysis tools (Excel required; SQL or BI tools).
• Bachelor's degree or equivalent experience.

Benefits:

• Comprehensive benefits package, including medical insurance, mental health support, retirement savings, paid time off, family leave, free games, and more.

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Responsibilities:

• Design, build, and maintain scalable data ingestion, transformation, and feature pipelines for machine learning workflows.
• Own and operate production data and machine learning infrastructure, including batch and near-real-time data processing.
• Partner with data scientists to productionize machine learning models, focusing on data consistency and quality.
• Ensure data and machine learning pipelines are reliable, repeatable, observable, and cloud-agnostic.
• Contribute to architectural standards, platform design decisions, and engineering best practices.

Qualifications:

• Five or more years of professional experience in data engineering or machine learning engineering.
• Strong proficiency in Python and SQL, with experience building large-scale data pipelines.
• Experience with modern programming languages, including Rust.
• Hands-on experience with end-to-end machine learning workflows and data preparation.
• Experience working in cloud environments such as AWS or GCP.
• Experience with containerization and orchestration technologies like Docker and Kubernetes.

Benefits:

• Competitive salary
• Comprehensive benefits package, including health insurance, mental health support, retirement savings, paid time off, and family leave
• Opportunities for growth and professional development
• Flexible work arrangements, including hybrid and remote work options

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As Measurement Partnerships Manager, you will manage partnerships with measurement and insights providers to demonstrate the value of our audience to advertisers. You will be the main contact for clients, recommending measurement solutions and helping them understand and use their results.

Responsibilities:

• Be the main contact for advertisers on measurement, recommending suitable solutions and helping them interpret results.
• Build custom performance analyses with advertisers and vendors, packaging results for our Sales team.
• Onboard and manage measurement partners, from evaluation through integration.
• Track partner performance against our roadmap and manage renewals.
• Consult with the AdTech team on technical integrations, including data pipelines and clean rooms.
• Research new measurement tools and trends, recommending what we should adopt.
• Collect partner and client feedback, sharing it with our Product and Engineering teams.
• Resolve daily partner and client issues, escalating to the Director when needed.

Qualifications:

• 5+ years in ad measurement, verification, or marketing analytics.
• Working knowledge of measurement/verification vendors (e.g., DoubleVerify, IAS, or HUMAN).
• Familiarity with data clean rooms (e.g., InfoSum, LiveRamp).
• Experience managing external partners or vendors.
• Client-facing experience explaining data to non-technical audiences.
• Comfortable working hands-on with data and analysis tools (Excel required; SQL or BI tools).
• Bachelor's degree or equivalent experience.

Benefits:

• Comprehensive benefits packages, tailored to meet local needs, including medical insurance, mental wellbeing support, pension plans, paid time off, family leave, free games, and more.
• Flexible working arrangements, with hybrid options available.

At Electronic Arts, we value adaptability, resilience, creativity, and curiosity. We offer opportunities for growth and encourage our teams to excel in their roles.

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Responsibilities:

• Be the main contact for advertisers on measurement , recommend the right solutions and help them interpret results.
• Build custom performance analyses with advertisers and vendors, and package results for the Sales team.
• Help onboard and manage measurement partners, from evaluation through integration.
• Track partner performance against the roadmap, and manage renewals.
• Consult with the AdTech team on technical integrations, including data pipelines and clean rooms.
• Research new measurement tools and trends, and recommend what to adopt.
• Collect partner and client feedback and share it with Product and Engineering teams.
• Resolve daily partner and client issues, escalating to the Director when needed.

Qualifications:

• 5+ years in ad measurement, verification, or marketing analytics.
• Working knowledge of measurement/verification vendors (e.g., DoubleVerify, IAS, or HUMAN).
• Familiarity with data clean rooms (e.g., InfoSum, LiveRamp).
• Experience managing external partners or vendors.
• Client-facing experience explaining data to non-technical audiences.
• Comfortable working hands-on with data and analysis tools (Excel required; SQL or BI tools).
• Bachelor's degree or equivalent experience.

Salary:

• $114,300 - $156,200 CAD (British Columbia)
• $143,800 - $217,200 USD (California)
• $133,100 - $178,400 USD (Washington)

Benefits:

• Paid time off (3 weeks per year to start)
• Sick time (80 hours per year)
• Paid company holidays (16 per year)
• Medical/dental/vision insurance
• Life insurance
• Disability insurance
• 401(k) (for US employees)
• Retirement plan (for Canadian employees)

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Responsibilities:

• Be the main contact for advertisers on measurement , recommend the right solutions and help them interpret results.
• Build custom performance analyses with advertisers and vendors, and package results for the Sales team.
• Help onboard and manage measurement partners, from evaluation through integration.
• Track partner performance against the roadmap, and manage renewals.
• Consult with the AdTech team on technical integrations, including data pipelines and clean rooms.
• Research new measurement tools and trends, and recommend what to adopt.
• Collect partner and client feedback and share it with Product and Engineering teams.
• Resolve daily partner and client issues, escalating to the Director when needed.

Qualifications:

• 5+ years in ad measurement, verification, or marketing analytics.
• Working knowledge of measurement/verification vendors (e.g., DoubleVerify, IAS, or HUMAN).
• Familiarity with data clean rooms (e.g., InfoSum, LiveRamp).
• Experience managing external partners or vendors.
• Client-facing experience explaining data to non-technical audiences.
• Comfortable working hands-on with data and analysis tools (Excel required; SQL or BI tools).
• Bachelor's degree or equivalent experience.
• Experience in entertainment or CTV advertising.
• Familiarity with incrementality testing, MMM, or attribution methods.
• Experience presenting analysis directly to clients and non-technical internal partners.

Benefits: Electronic Arts adopts a holistic approach to benefits programs, focusing on physical, emotional, financial, professional, and community well-being.

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Responsibilities:

• Be the main contact for advertisers on measurement , recommend the right solutions and help them interpret results.
• Build custom performance analyses with advertisers and vendors, and package results for the Sales team.
• Help onboard and manage measurement partners, from evaluation through integration.
• Track partner performance against the roadmap, and manage renewals.
• Consult with the AdTech team on technical integrations, including data pipelines and clean rooms.
• Research new measurement tools and trends, and recommend what to adopt.
• Collect partner and client feedback and share it with Product and Engineering teams.
• Resolve daily partner and client issues, escalating to the Director when needed.

Qualifications:

• 5+ years in ad measurement, verification, or marketing analytics.
• Working knowledge of measurement/verification vendors (e.g., DoubleVerify, IAS, or HUMAN).
• Familiarity with data clean rooms (e.g., InfoSum, LiveRamp).
• Experience managing external partners or vendors.
• Client-facing experience explaining data to non-technical audiences.
• Comfortable working hands-on with data and analysis tools (Excel required; SQL or BI tools).
• Bachelor's degree or equivalent experience.
• Experience in entertainment or CTV advertising.
• Familiarity with incrementality testing, MMM, or attribution methods.
• Experience presenting analysis directly to clients and non-technical internal partners.

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Central Technology at EA accelerates creative opportunity and progress, acting as a force multiplier. This world-class community of technologists, innovators, strategists, and orchestrators transforms interactive entertainment. They power platforms, AI-driven tools, live services, and infrastructure that ensure global scale, secure player experiences, and unlock new possibilities.

The EA Security team protects players, employees, products, and platforms by setting security standards, supporting game and enterprise teams, assessing risk, and ensuring compliance with global requirements. Their work strengthens system integrity, supports fair play, and enables teams to build and operate securely at scale.

As a Machine Learning Engineer III, you will report to the Senior Manager of EA Player Security Data Labs and follow a hybrid work model with remote and in-office collaboration. Your primary focus will be building and operating production-grade data and machine learning infrastructure that enables data scientists and analysts to deliver fraud detection, anti-cheat, and account security solutions across EA games.

Key responsibilities:

• Design, build, and maintain scalable data ingestion, transformation, and feature pipelines that support machine learning workflows for fraud and anti-cheat systems.
• Own and operate production data and machine learning infrastructure, including batch and near-real-time data processing, feature generation, training workflows, and inference pipelines.
• Collaborate with data scientists to productionize machine learning models, focusing on data consistency, quality, and reliable offline and online feature computation.
• Ensure data and machine learning pipelines are reliable, repeatable, observable, and cloud-agnostic across environments.
• Contribute to architectural standards, platform design decisions, and engineering best practices as a senior individual contributor within EA Player Security Data Labs.

Requirements:

• Five or more years of professional experience in data engineering, machine learning engineering, or a closely related role with production ownership.
• Strong proficiency in Python and SQL, with demonstrated experience building and maintaining large-scale, production-grade data pipelines. Experience with Rust is a plus.
• Experience designing and operating data-intensive systems using modern programming languages, including Rust.
• Hands-on experience supporting end-to-end machine learning workflows, with an emphasis on data preparation, feature pipelines, and model deployment infrastructure.
• Experience working in cloud environments such as AWS or GCP, including large-scale data processing systems.
• Experience with containerization and orchestration technologies such as Docker and Kubernetes.
• Experience with CI/CD systems and production deployment workflows, including GitLab.
• Experience with Terraform and Spark.

Benefits: In the US, benefits include paid time off (3 weeks per year to start), 80 hours per year of sick time, 16 paid company holidays per year, 10 weeks paid time off to bond with baby, medical/dental/vision insurance, life insurance, disability insurance, and 401(k) for regular full-time employees. Certain roles may also be eligible for bonus and other incentive programs.

In Canada, benefits include vacation (3 weeks per year to start), 10 days per year of sick time, paid top-up to EI/QPIP benefits up to 100% of base salary when welcoming a new child, extended health/dental/vision coverage, life insurance, disability insurance, retirement plan for regular full-time employees. Certain roles may also be eligible for bonus and other incentive programs.

Salary ranges:

• British Columbia: $114,300 - $156,200 CAD
• Washington: $122,300 - $158,500 USD

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Central Technology at EA accelerates creative opportunity and progress, transforming interactive entertainment with cutting-edge technology.

The EA Security team protects players, employees, products, and platforms by setting security standards, assessing risks, and ensuring compliance with global requirements.

As a Machine Learning Engineer III, you will report to the Senior Manager, EA Player Security Data Labs, and work in a hybrid model combining remote work and in-office collaboration.

Your primary focus will be on building and operating production-grade data and machine learning infrastructure to support data scientists and analysts in delivering fraud detection, anti-cheat, and account security solutions across EA games.

Responsibilities

• Design, build, and maintain scalable data ingestion, transformation, and feature pipelines for machine learning workflows in fraud and anti-cheat systems.
• Own and operate production data and machine learning infrastructure, including batch and near-real-time data processing, feature generation, training workflows, and inference pipelines.
• Collaborate with data scientists to productionize machine learning models, focusing on data consistency, quality, and reliable feature computation.
• Ensure data and machine learning pipelines are reliable, repeatable, observable, and cloud-agnostic across environments.
• Contribute to architectural standards, platform design decisions, and engineering best practices as a senior individual contributor.

Qualifications

• Five or more years of professional experience in data engineering, machine learning engineering, or a closely related role with production ownership.
• Strong proficiency in Python and SQL, with experience building and maintaining large-scale, production-grade data pipelines. Rust experience is a plus.
• Experience designing and operating data-intensive systems using modern programming languages, including Rust.
• Hands-on experience supporting end-to-end machine learning workflows, with an emphasis on data preparation, feature pipelines, and model deployment infrastructure.
• Experience working in cloud environments such as AWS or GCP, including large-scale data processing systems.
• Experience with containerization and orchestration technologies such as Docker and Kubernetes.
• Experience with CI/CD systems and production deployment workflows, including GitLab.
• Experience with Terraform and Spark.

Why You Will Enjoy This Role

• Work on data and machine learning systems that protect millions of players from fraud and cheating.
• Operate as a senior individual contributor with strong technical ownership and autonomy.
• Design and build core data infrastructure that powers machine learning across EA Player Security.

Benefits

Electronic Arts offers comprehensive benefits packages tailored to meet local needs, including medical insurance, mental health support, retirement savings, paid time off, family leave, free games, and more.

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Central Technology is the force multiplier, accelerating creative opportunity and progress at EA. We're a world-class community of technologists, innovators, strategists, and orchestrators transforming interactive entertainment. Together, we power the platforms, AI-driven tools, live services, and infrastructure that ensure global scale, secure player experiences, and unlock bold new possibilities.

EA Security protects our players, employees, products, and platforms. We set security standards, support game and enterprise teams, assess risk across partners and systems, and ensure compliance with global requirements. Our work strengthens system integrity, supports fair play, and enables teams to build and operate securely at scale.

As a Machine Learning Engineer III, you will report to the Senior Manager, EA Player Security Data Labs. You will follow a hybrid work model with a mix of remote work and in-office collaboration. This role focuses on building and operating production-grade data and machine learning infrastructure that enables data scientists and analysts to deliver fraud detection, anti-cheat, and account security solutions across EA games.

Responsibilities:

• Design, build, and maintain scalable data ingestion, transformation, and feature pipelines that support machine learning workflows for fraud and anti-cheat systems.

• Own and operate production data and machine learning infrastructure, including batch and near-real-time data processing, feature generation, training workflows, and inference pipelines.

• Partner with data scientists to productionize machine learning models, with a strong focus on data consistency, data quality, and reliable offline and online feature computation.

• Ensure data and machine learning pipelines are reliable, repeatable, observable, and cloud-agnostic across environments.

• Contribute to architectural standards, platform design decisions, and engineering best practices as a senior individual contributor within EA Player Security Data Labs.

Qualifications:

• Five or more years of professional experience in data engineering, machine learning engineering, or a closely related role with production ownership.

• Strong proficiency in Python and SQL, with demonstrated experience building and maintaining large-scale, production-grade data pipelines. Rust experience is a plus.

• Experience designing and operating data-intensive systems using modern programming languages, including Rust.

• Hands-on experience supporting end-to-end machine learning workflows, with an emphasis on data preparation, feature pipelines, and model deployment infrastructure.

• Experience working in cloud environments such as AWS or GCP, including large-scale data processing systems.

• Experience with containerization and orchestration technologies such as Docker and Kubernetes.

• Experience with CI/CD systems and production deployment workflows, including GitLab.

• Experience with Terraform and Spark.

Benefits:

• Competitive salary

• Comprehensive benefits package, including medical insurance, mental wellbeing support, pension plan, paid holidays, family leave, free games, and more

• Flexible working arrangements

• Opportunities for growth and development

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This role requires a passion for understanding and modeling the interactions between AI and society, a strong awareness of the AI alignment and safety landscape, and a penchant for developing novel ideas, methods, interfaces, and tools.

As a Research Scientist at Google DeepMind, you will join a team working to supercharge exploration, assessment, and steering of evolving AI behaviours, with a focus on subjective and creative tasks. You will tackle the underlying research questions to improve collaborative specification of alignment objectives and assessment of adherence to desired behaviours.

Key responsibilities include generating new ideas, executing cutting-edge ideas, communicating research findings, collaborating with other researchers, and driving technical projects.

To be successful in this role, you will need a PhD degree in Computer Science, Machine Learning, or a related technical field, a strong publication record in top machine learning conferences, and demonstrated hands-on experience in developing multimodal AI models and systems.

In addition, experience with large-scale vision language models, fine-tuning and post-training LLMs using RL, and developing agentic AI solutions to complex problems would be an advantage.

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