The primary responsibilities for this position include but are not limited to:

Project Management: Define, develop, and execute project roadmaps as directed by departmental leadership. Process Standardization: Establish and document robust procedures to ensure consistency across all project phases. Communication: Act as a primary liaison between the project team and management, delivering regular status updates and performance reports. Technical Support: Provide cross-departmental support in both Engineering and Maintenance. Analytical Insight: Leverage data evaluation techniques to drive continuous improvement and operational excellence. Safety & Ethics: Maintain a safe, healthy, and ethical work environment in strict accordance with safety regulations. Workplace Excellence: Sustain a highly organized and efficient work environment through rigorous application of 5S principles.

As a Manufacturing Engineering Intern, you will have the opportunity to work on the assembly floor and gain hands-on experience in a high-paced, challenging environment.

XML job scraping automation by YubHub

We are looking for a Staff MLE to join Surfaces Podcasts. The Surfaces Podcasts team builds the systems that power podcast recommendations across some of Spotify’s most visible experiences, including Home and the Now Playing view. We work across candidate generation, ranking, and embedding models to help listeners discover their favorite new podcast and engage deeply with their favorite shows.

We’re also shaping the next generation of personalization through transformer-based models that bring more dynamic, context-aware recommendations to millions of listeners. You’ll collaborate closely with teams across Personalization, Experience, and the Podcast Mission to evolve podcast listening across Spotify.

Responsibilities

• Contribute to designing, scaling/building, evaluating, integrating, shipping, and refining reward signals for recommendations by hands-on ML development

• Promote and role-model best practices of ML systems development, testing, evaluation, etc., both inside the team as well as throughout the organization.

• Lead collaborations and align across PZN to integrate and A/B test mid-term signals in various recommendation systems

Requirements

• You have a strong background in machine learning, enjoy applying theory to develop real-world applications, with expertise in statistics and optimization, especially in sequential models, transformers, generative AI and large language models, and relevant fine-tuning processes.

• You have hands-on experience with large cross-collaborative machine learning projects and managing stakeholders.

• You have hands-on experience implementing production machine learning systems at scale in Java, Scala, Python, or similar languages. Experience with PyTorch, Ray, Hugging Face and related tools is required.

• You have some experience with large scale, distributed data processing frameworks/tools like Apache Beam, Apache Spark, or even our open source API for it - Scio, and cloud platforms like GCP or AWS.

• You care about agile software processes, data-driven development, reliability, and disciplined experimentation.

Where You’ll Be

• We offer you the flexibility to work where you work best! For this role, you can be within North America as long as we have a work location.

• This team operates within the Eastern Standard time zone for collaboration

Benefits

The United States base range for this position is $227,495- $324,993 equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave.

XML job scraping automation by YubHub

We are looking for a Machine Learning Engineer to join the Personalization team. As an integral part of the squad, you will collaborate with research scientists, data scientists and other engineers across PZN in prototyping and productizing state-of-the-art ML at the intersection of recommendations and long-term user satisfaction.

Responsibilities

• Contribute to designing, scaling/building, evaluating, integrating, shipping, and refining reward signals for recommendations by hands-on ML development
• Promote and role-model best practices of ML systems development, testing, evaluation, etc., both inside the team as well as throughout the organization
• Lead collaborations and align across PZN to integrate and A/B test mid-term signals in various recommendation systems

Requirements

• Strong background in machine learning, with expertise in statistics and optimization, especially in sequential models, transformers, generative AI and large language models, and relevant fine-tuning processes
• Hands-on experience with large cross-collaborative machine learning projects and managing stakeholders
• Hands-on experience implementing production machine learning systems at scale in Java, Scala, Python, or similar languages. Experience with PyTorch, Ray, Hugging Face and related tools is required
• Some experience with large scale, distributed data processing frameworks/tools like Apache Beam, Apache Spark, or even our open source API for it - Scio, and cloud platforms like GCP or AWS
• Care about agile software processes, data-driven development, reliability, and disciplined experimentation

Where You'll Be

• We offer you the flexibility to work where you work best! For this role, you can be within the North America and EMEA region as long as we have a work location
• This team operates within the Eastern Standard time zone for collaboration

Additional Information

The United States base range for this position is $227,495-$324,993 equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave.

XML job scraping automation by YubHub

We are looking for a Machine Learning Engineer to join the Personalization team. As an integral part of the squad, you will collaborate with research scientists, data scientists and other engineers across PZN in prototyping and productizing state-of-the-art ML at the intersection of recommendations and long-term user satisfaction.

Responsibilities

• Contribute to designing, scaling/building, evaluating, integrating, shipping, and refining reward signals for recommendations by hands-on ML development
• Promote and role-model best practices of ML systems development, testing, evaluation, etc., both inside the team as well as throughout the organization
• Lead collaborations and align across PZN to integrate and A/B test mid-term signals in various recommendation systems

Requirements

• Strong background in machine learning, with expertise in statistics and optimization, especially in sequential models, transformers, generative AI and large language models, and relevant fine-tuning processes
• Hands-on experience with large cross-collaborative machine learning projects and managing stakeholders
• Hands-on experience implementing production machine learning systems at scale in Java, Scala, Python, or similar languages. Experience with PyTorch, Ray, Hugging Face and related tools is required
• Some experience with large scale, distributed data processing frameworks/tools like Apache Beam, Apache Spark, or even our open source API for it - Scio, and cloud platforms like GCP or AWS
• Care about agile software processes, data-driven development, reliability, and disciplined experimentation

Where You'll Be

• We offer you the flexibility to work where you work best! For this role, you can be within the North America and EMEA region as long as we have a work location
• This team operates within the Eastern Standard time zone for collaboration

Additional Information

The United States base range for this position is $227,495- $324,993 equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave.

XML job scraping automation by YubHub

Responsibilities

• Design, build, and improve the infrastructure that powers Spotify's event delivery systems at global scale

• Develop backend services using Java and Apollo, and build batch and real-time data pipelines using tools like Scio and Apache Beam

• Work closely with your squad to ensure systems are reliable, efficient, and continuously evolving to meet user needs

• Take shared ownership of operational responsibilities, including monitoring, troubleshooting, and improving system health

• Collaborate with other teams across the Data Platform and broader R&D organization to deliver impactful data solutions

• Contribute to evolving our use of cloud technologies such as Google Cloud Pub/Sub, GKE, and Dataflow

Requirements

• Experience building backend systems and data pipelines using Java and Scala

• Understanding of distributed systems and comfort working with large-scale, cloud-based infrastructure

• Solid foundation in system design, data structures, and algorithms

• Experience with modern data processing frameworks such as Apache Beam or similar technologies

• Care about building reliable systems and familiarity with continuous integration and delivery practices

• Curiosity and motivation to solve complex technical challenges in high-scale environments

• Ability to collaborate effectively with others and value open feedback and continuous learning

• Comfortable working in agile teams and contributing to a culture of experimentation and improvement

XML job scraping automation by YubHub

The Creative Innovation team is the driving force behind EA's cutting-edge research, 3rd-party partnerships, and content creation technologies. From AI-powered tools for character animation to groundbreaking world-building systems, this team researches, innovates, and integrates transformative technologies into creative workflows. By joining Creative Innovation, you'll work at the intersection of creativity, technology, and design solutions that redefine immersive gaming experiences. If you're looking for a team that combines the agility of a startup with the impact of a global AAA, then we're looking for you.

This is a hybrid remote/in-office role.

As a Software Engineer on the Tools & Technology's Audio team, you will deliver audio tools and runtime feature supporting audio content creation and playback across EA's portfolio. You will work across the audio technology lifecycle at a feature and system level, collaborating with other engineers and audio partners to ensure that tooling decisions translate cleanly into performant runtime behaviour.

Day to day, you will:

• Design and implement audio tools, pipelines, workflows, and game runtime implementations that improve iteration speed and usability for audio teams.
• Deliver features spanning tooling, data flow, and runtime integration within established engine and platform architectures to ensure performance.
• Collaborate with audio engineers, technical artists, and partner teams to achieve creative requirements.
• Identify workflow bottlenecks and runtime limitations and propose practical improvements.
• Uphold high code-quality standards through testing, documentation, and reviews.
• Report to a Development Director, with a dotted line towards technical directors for technical discussions.

You are / you have:

• 5+ years of software engineering experience, including work in audio content pipelines, runtime systems, and related tooling.
• Proficiency in C#, building production-quality tools, editors, or workflow-focused applications.
• Expertise in C++ for multithreading and performance-conscious development.
• Experience with systems architecture and performance tradeoffs.
• Commitment to code quality through unit tests, reviews, and automation.
• Bachelor's degree in computer science or related field, or equivalent experience.

XML job scraping automation by YubHub

You'll own the technical evaluation and validation stages of the sales cycle, guide customers through proofs of concept and value, and connect GitLab's modern software development, operations, and cloud capabilities to measurable value.

In this role, you'll work closely with sales and cross-functional GitLab teams, provide technical guidance from first conversation through successful deployment, and act as a customer advocate back into Product, Sales, and Marketing.

With your TS/SCI with poly clearance and deep familiarity with government environments, you'll shape and execute strategies that build mindshare, expand GitLab usage, and establish long-term, trusted relationships across public sector accounts.

Responsibilities:

• Engage with public sector customers, both onsite and remotely, to provide technical expertise and guidance throughout the pre-sales process, including tailored demos, technical presentations, and hands-on workshops.

• Collaborate with the sales team to shape and execute account strategies that drive GitLab adoption within government environments.

• Own the technical evaluation process, including proof of concept (POC) and proof of value (POV) design and delivery, tender and audit support, and technical input into proposals.

• Lead the creation of Customer Success Plans that capture technical success criteria and handoff details from the pre-sales process, ensuring a smooth path to deployment and adoption.

• Build and deepen relationships with technical and business stakeholders so they become advocates for GitLab within their organizations.

• Serve as the customer advocate internally by channeling feedback and insights to Product, Sales, Marketing, and other GitLab teams to influence roadmap and messaging.

• Maintain and expand your expertise in GitLab and related technologies, including modern software development, operations, and cloud practices, and create reusable examples and assets for customers and partners.

• Run Value Stream Assessments with support from senior Solutions Architects to identify opportunities for customers to improve their software delivery with GitLab.

Requirements:

• Active TS/SCI clearance with polygraph and ability to meet all applicable government eligibility requirements as a United States Person.

• Residing in the Washington, D.C. area and ability to travel for onsite engagement with public sector customers, based on business and customer needs.

• Background in technical pre-sales, consulting, or information technology roles, ideally with U.S. public sector or federal customers, where you guided customers through evaluations and solution design.

• Hands-on experience using GitLab and familiarity with modern software development and operations practices, such as CI/CD, DevSecOps, and automation.

• Experience with cloud computing platforms and related technologies in regulated or security-conscious environments.

• Ability to connect technical solutions to measurable business or mission outcomes and to advise senior stakeholders on tradeoffs and options.

• Strong, confident communication and relationship-building skills, including leading customer meetings, demos, and value-focused conversations in close partnership with sales and cross-functional teams.

• Openness to learning, seeking feedback, and building new skills, including familiarity with GitLab's Solutions Architect handbook and related resources.

About the team:

The Public Sector Solutions Architect role is part of GitLab's Solutions Architect team, a group of trusted technical advisors who help government customers understand, evaluate, and adopt the GitLab DevSecOps platform.

You'll work closely with account teams, Customer Success, and Product to support public sector organizations, with a particular focus on agencies that require TS/SCI with polygraph.

The team is distributed and collaborates asynchronously across time zones using GitLab and our handbook-first practices to share knowledge, reusable examples, and best practices.

You'll help the team address unique public sector challenges such as security, compliance, and mission-critical software delivery, and contribute customer insights that shape our product direction.

XML job scraping automation by YubHub

Your work will be at the intersection of security, distributed systems, and product engineering, helping build trusted payments infrastructure from the ground up.

Responsibilities

• Design and implement fraud detection and prevention systems that operate at global scale and low latency
• Develop risk scoring engines, anomaly detection pipelines, and real-time enforcement mechanisms
• Collaborate with product, compliance, X Money, Fraud Prevention, and infrastructure teams to ensure a secure and seamless user experience
• Monitor and analyze fraud trends, and proactively respond to new attack vectors
• Define engineering standards around observability, reliability, and rapid response in fraud-related systems

Basic Qualifications

• 7+ years of backend or systems engineering, with exposure to fraud, risk, or abuse prevention systems preferred
• Skilled in distributed systems: You've built resilient, high-throughput systems that operate under real-time constraints
• Security-conscious: You understand threat models, data sensitivity, and defense-in-depth principles
• Analytical and pragmatic: You value simple, high-leverage solutions and adapt quickly to evolving challenges
• Builder mentality: You're excited by zero-to-one problems and proven ability to thrive in fast-paced environments. You are willing to work hard.

Bonus

• Experience with real-time anomaly detection, machine learning for fraud, or rule-based risk systems
• Familiarity with AML/KYC regulations, chargeback flows, or identity verification systems
• Experience in fintech, trust & safety, or adversarial system design
• Comfortable working in a zero-to-one environment with rapid iteration
• Experience with: Golang, Postgres, Kafka, Memcached

Compensation and Benefits

$180,000 - $440,000 USD Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.

XML job scraping automation by YubHub