You will work at the intersection of data engineering, identity resolution, privacy, and platform reliability. This is an individual contributor role, where you will work to define and implement a strategic vision for data engineering within the organization.

Responsibilities:

• Design and maintain a scalable identity resolution platform
• Build pipelines and services to ingest, normalize, link, and version identity data across multiple sources
• Ensure deterministic and probabilistic matching logic that is transparent, auditable, and measurable
• Partner with product and analytics teams to expose identity data through reliable, well-documented APIs and datasets
• Build and operate batch and streaming pipelines using modern data stack tools
• Create clear documentation, standards, and runbooks for identity and governance systems
• Own data governance foundations including data lineage, quality checks, schema enforcement, and access controls
• Implement privacy-by-design principles (PII handling, consent enforcement, retention policies)
• Collaborate with legal, privacy, and security teams to operationalize regulatory requirements (e.g., GDPR, CCPA)
• Establish monitoring and alerting for data quality, freshness, and integrity

What we're looking for:

• Production data engineering experience
• Bachelor’s degree in computer science, related field or equivalent experience
• Proficiency in Spark and Scala, with proven experience building data infrastructure in Spark using Scala
• Experience in delivering significant technical initiatives and building reliable, large scale services
• Experience in delivering APIs backed by relationship-heavy datasets
• Experience implementing data governance practices, including data quality, metadata management, and access controls
• Strong understanding of privacy-by-design principles and handling of sensitive or regulated data
• Familiarity with data lakes, cloud warehouses, and storage formats
• Strong proficiency in AWS services
• Excellent written and verbal communication skills
• Successful design and implementation of scalable and efficient data infrastructure
• High attention to detail in implementation of automated data quality checks
• Effective collaboration with cross-functional teams
• Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs
• Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review)
• High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables

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Responsibilities:

• Help build an Engineering culture that enables quality in all software feature development teams across Reddit.
• Develop and evolve test automation frameworks, tools, and services.
• Analyze production issues, identify test gaps across the entire testing stack, and make systemic improvements to automated testing.
• Maintain test infrastructure stability in non-production environments.
• Participate in troubleshooting and triaging of issues with different teams to drive towards root cause identification and resolution.
• Influence the entire engineering organization on unit/integration/end-to-end tests.

Required Qualifications:

• 5+ years of experience as an SDET or as a Software Engineer for Android platform.
• 3+ years in Android development.
• Experience in designing and building scalable automated test frameworks, tools, and services for testing mobile applications.
• Experience in writing, executing, and monitoring automated test suites using a variety of technologies such as Espresso and/or UIAutomator using Kotlin.
• Preferred experience in JetPack Compose.
• Experience in unit, snapshot, and end-to-end testing of Android applications.
• Experience in building test frameworks and automated tests for native Mobile applications.
• Strong understanding of CI/CD process and quality checks in the workflow.
• Strong understanding of QA methodologies for mobile applications releases.
• Working proficiency and communication skills in verbal and written English.

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs.
• 401k with Employer Match.
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support.
• Family Planning Support.
• Gender-Affirming Care.
• Mental Health & Coaching Benefits.
• Flexible Vacation & Paid Volunteer Time Off.
• Generous Paid Parental Leave.

Pay Transparency:

This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission.

To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies.

Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.

The base salary range for this position is $190,800-$267,100 USD.

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Responsibilities:

• Help build an Engineering culture that enables quality in all software feature development teams across Reddit.
• Develop and evolve test automation frameworks, tools, and services.
• Analyse production issues, identify test gaps across the entire testing stack, and make systemic improvements to automated testing.
• Maintain test infrastructure stability in non-production environments.
• Participate in troubleshooting and triaging of issues with different teams to drive towards root cause identification and resolution.
• Influence the entire engineering organisation on unit/integration/end-to-end tests.

Required Qualifications:

• 5+ years of experience as an SDET or as a Software Engineer for Android platform.
• 3+ years in Android development.
• Experience in designing and building scalable automated test frameworks, tools, and services for testing mobile applications.
• Experience in writing, executing, and monitoring automated test suites using a variety of technologies such as Espresso and/or UIAutomator using Kotlin.
• Preferred experience in JetPack Compose.
• Experience in unit, snapshot, and end-to-end testing of Android applications.
• Experience in building test frameworks and automated tests for native Mobile applications.
• Strong understanding of CI/CD process and quality checks in the workflow.
• Strong understanding of QA methodologies for mobile applications releases.
• Working proficiency and communication skills in verbal and written English.

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs.
• 401k with Employer Match.
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support.
• Family Planning Support.
• Gender-Affirming Care.
• Mental Health & Coaching Benefits.
• Flexible Vacation & Paid Volunteer Time Off.
• Generous Paid Parental Leave.

Pay Transparency:

This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission.

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Our Data Science and Analytics team seeks to empower R&D to make data-backed decisions that accelerate innovation and improve product performance. You will work closely within our team and across Product & Engineering to design and maintain a robust analytics data layer that enables trusted reporting on R&D metrics.

In this role, you'll:

• Design and implement a formal analytics data layer using AWS Glue, Presto, and LookML
• Collaborate within the Data Science & Analytics team and across Product & Engineering to define, document, and maintain alignment on metric definition and data lineage
• Develop and maintain automated data reconciliation and quality checks to proactively identify and resolve discrepancies, ensuring accuracy and consistency of critical reports and dashboards
• Lead investigations into complex data anomalies, conduct root cause analysis, and communicate findings and solutions effectively to both technical and non-technical audiences
• Mentor and guide members of the data science and analytics team, establishing and enforcing best practices around data modeling, testing, documentation, and code review

Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply.

If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!

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This may include understanding and documenting the applicable regulatory reporting requirements in the region, implementing systems and processes for comprehensively tracking those requirements for each of Stripe's North American entities, maintaining the end-to-end processes for the collation of data, production of reports, and continuously monitoring compliance to meet the expectations of Stripe's regulators.

You will need to be comfortable straddling both the technology and financial services worlds every day, enjoying the puzzle of dealing with that and seeking creative solutions and moving quickly, often in the face of ambiguity.

Responsibilities:

• Own end-to-end U.S. regulatory reporting program for digital assets including stablecoin related financial activities, including defining reporting scope, governance, timelines, and accountability across required regulatory filings.
• Interpret U.S. regulatory reporting requirements applicable to stablecoins, digital assets, payments, and custody, and translate them into clear reporting specifications, data definitions, and execution plans in partnership with Legal and Compliance.
• Manage the full regulatory reporting lifecycle, from data sourcing and aggregation through validation, internal review, sign-off, and timely submission to regulators.
• Ensure regulatory reports accurately reflect stablecoin-specific activities and risks, including issuance, redemption, circulation, reserves, custody arrangements, and transaction flows across on-chain and off-chain systems.
• Design and maintain a robust regulatory reporting control framework, including data quality checks, reconciliations, documentation, and issue remediation to support audit and exam readiness.
• Partner with Engineering, Data, Finance, Compliance and Legal to improve data lineage, transparency, and automation across regulatory reporting processes as the business scales.
• Own regulatory reporting change management, including assessing the impact of new or evolving stablecoin regulations, product launches, and system changes on reporting scope, data requirements, and controls.
• Develop and maintain regulator-ready documentation, including reporting methodologies, assumptions, data lineage, and process documentation to support supervisory reviews and examinations.
• Serve as the primary point of contact for regulatory reporting matters during U.S. regulatory exams, audits, and regulatory inquiries.

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The Senior Data Management Analyst ensures accurate and compliant data reporting by translating regulatory requirements into internal reports, developing and maintaining reporting tools, and collaborating with stakeholders to address data needs and improve data processes.

Responsibilities

Reviews Regulatory requirements (Statutory Plans) & translates to internal data reporting requirements. Develops and prepares new reports and applications using multiple sources of information. Evaluates information being reported for consistency, completeness, accuracy, and reasonableness. Maintains and provides support for existing tools and applications used in the analysis of information. Communicates with actuaries, accountants, product managers, and IT counterparts regarding data and business requirements for new reports or applications. Prepares internal and external correspondence related to the development and understanding of information. Conducts research into proposed solutions for data quality issues and the development of new reports or applications. Implements process efficiencies and automations. Assists in the cross-training and development of other professional personnel as assigned.

Requirements

Work Experience in This Field: Minimum Required: 1-3 years Preferred: 4-6 years Insurance Background - must Data Reporting strongly preferred

English Proficiency: Minimum Required: Fluent

Required Education: Minimum Required: Bachelor’s Degree

Required Branches of Study: Information Technology Business

Additional Preferred Branches of Study: Accounting/Audit/Finance Actuary/Math Insurance Data Management

Other Critical Skills: Data Quality Checks and Balances +2 Years Data Analysis and Trending +3 Years Project Management: Entry Level Reporting Automation +2 Years Strong Analytical Skills Advanced communication and collaboration skills

Software / Tool Skills: Excel +3 years SQL +3 years SAS EG: Entry Level (1-3 years) PowerPoint +2 years Power BI +2 years Phyton +2 years

Benefits

This position comes with a competitive compensation and benefits package:

1. Competitive salary and performance-based bonuses
2. Comprehensive benefits package
3. Career development and training opportunities
4. Flexible work arrangements (remote and/or office-based)
5. Dynamic and inclusive work culture within a globally renowned group
6. Private Health Insurance
7. Pension Plan
8. Paid Time Off
9. Training & Development

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As a Applied Scientist in Bing Places, you will design new relevance metrics, build labeling pipelines, and fine-tune language models to improve search quality. You'll work on prompt engineering, implement modern language models techniques like Retrieval Augmented Generation, and create scalable workflows for measurement and evaluation.

This opportunity will allow you to:

• Accelerate your career growth by working on state-of-the-art AI systems.
• Develop deep expertise in prompt engineering and model tuning.
• Hone your skills in building robust data pipelines and quality frameworks.

Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities:

• Design and implement new relevance metrics to measure and improve local search quality.
• Develop and optimize LLM/SLM labeling pipelines for high-throughput, consistent quality judgments.
• Engineer and fine-tune prompts for LLMs to enhance query understanding and classification accuracy.
• Apply modern LLM techniques such as retrieval-augmented generation for improved grounding and relevance.
• Build scalable workflows and dashboards for measurement, evaluation cycles, and quality checks.
• Analyze failure modes and improve prompt rubrics to reduce defect rates and enhance labeling consistency.
• Collaborate with cross-functional teams to integrate metrics and labeling systems into production environments.

Qualifications:

• Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND hands on experience (e.g., statistics, predictive analytics, research) OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND hands on experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field OR equivalent experience.

Other Requirements:

• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

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Microsoft AI are looking for a talented Applied Scientist II at their Bengaluru office. This role sits at the heart of developing cutting-edge large-scale AI services that can power the next-gen AI search. You'll work directly with the team to shape the company's direction in AI search and development.

About the Role

As an Applied Scientist II, you will be responsible for developing novel machine learning and data mining algorithms, designing and developing solutions that respond in real time, and building data quality checks and re-usable modules for the training. You will also host ML models with production-ready code, design and execute offline/online experiments, and advance the state of the art of NLP technologies for real-world scenarios.

Accountabilities

• Developing novel machine learning and data mining algorithms
• Designing and developing solutions that respond in real time

The Candidate we're looking for

Experience:

• Master's/PhD degree in CS/EE or related fields with knowledge in NLP, Machine Learning and Data Mining

Technical skills:

• Strong research and/or development experience with machine learning, NLP and data mining

Personal attributes:

• Excellent scientific thinking and execution
• Ability to drive efficient experiment definition and investigations

Benefits

• Competitive salary and benefits package
• Opportunities for professional growth and development
• Collaborative and dynamic work environment

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