Member of Technical Staff, Applied Scientist Job at Microsoft Corporation (Mountain View)

Member of Technical Staff, Applied Scientist - Windows Copilot

The Windows Copilot team is at the forefront of redefining how AI enhances every...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.
Proven track record of deploying machine learning models in large-scale production environments.
9+ years of experience building data pipelines, training deep learning models, and optimizing AI workflows.
4+ years of experience building data pipelines, training deep learning models, and optimizing AI workflows.

Job Responsibility

Develop and refine data pipelines and infrastructure to support AI model development for Copilot.
Collaborate with research teams to integrate cutting-edge AI advancements into production systems.
Design, train, and evaluate machine learning models, ensuring performance optimization and scalability.
Work closely with engineering and product teams to ensure AI-driven experiences meet quality and user experience standards.
Conduct rigorous data analysis and experimentation, leveraging insights to improve Copilot’s intelligence.
Overcome obstacles to deliver iterative improvements in AI performance and responsiveness.
Stay ahead of the latest innovations in deep learning, reinforcement learning, and generative AI.
Embody our Culture and Values.

Fulltime

Member of Technical Staff - Data Scientist

We’re looking for data scientists to help build the next generation of post-trai...

Location

Switzerland , Zürich

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Hands‑on experience with large language models, including training or applying them in production (not just prompting)
Designing and running post‑training experiments (evals, ablations, preference tuning / RLHF‑style methods)
Building and owning scalable data pipelines for training and evaluation data
Strong Python skills for ML experimentation, data processing, and analysis
Solid statistical, experimental, and general engineering fundamentals

Job Responsibility

Design evaluations of advanced model capabilities and use them to drive rapid, high-signal iteration loops
Work with vendors to produce high quality evaluation and training data
Build data pipelines to produce high quality evaluation and training data
Build data flywheels to hill-climb on model weaknesses, using data from various surfaces where our models are deployed
Ensure optimal quality, quantity and coverage of data across our post-training stages
Run post-training experiments and ablations to produce models that climb our evals
Embody our culture and values

Fulltime

Senior Staff Machine Learning Engineer

Help design our AI platform and develop our next generation of machine learning ...

Location

United States , San Francisco

Salary:

216500.00 - 324500.00 USD / Year

GoFundMe

Expiration Date

Until further notice

Requirements

9+ years of hands-on experience in machine learning engineering, AI development, software engineering, or related fields
Experience emphasizing secure, large-scale, distributed system design, AI/ML pipeline development, and implementation
Extensive experience designing, developing, and operating scalable backend systems
Experience applying software engineering best practices such as domain-driven design, event-driven architectures, and microservices
Deep expertise in agentic workflows, AI evaluation solutions, prompt management, and secure AI development and testing practices
Strong knowledge of relational and document-based databases, data storage paradigms, and efficient RESTful API design
Experience establishing robust CI/CD pipelines, automated testing (unit and integration), and deployment practices
Strong leadership skills, including effective planning and management of complex projects, mentoring of team members, and fostering a collaborative, high-performing engineering culture
Excellent communicator, able to articulate complex technical concepts clearly to both technical and non-technical stakeholders
Bachelor's degree in Computer Science, Software Engineering, or a related technical field (preferred)

Job Responsibility

Design and implement AI platforms to enable scalable and secure access to LLMs from multiple model providers for diverse use cases
Design and implement agentic workflows, agentic tool ecosystems, and LLM prompt management solutions
Design, build, and optimize scalable model training, fine tuning, and inference pipelines, ensuring robust integration with production systems
Influence technical strategy and approach to developing embedding stores, vector databases, and other reusable assets
Lead initiatives to streamline ML and AI workflows, improve operational efficiency, and establish standardized procedures to achieve consistent, high-quality results across our AI systems
Design and develop backend services and RESTful APIs using Python and FastAPI, integrating seamlessly with ML pipelines and services
Take operational responsibility for team-owned services, including performance monitoring, optimization, troubleshooting, and participation in an on-call rotation
Collaborate with both technical and non-technical colleagues, including data and applied scientists, software engineers, product managers, and business stakeholders, to deliver reliable and scalable ML-driven products
Coach and mentor fellow ML engineers, promoting a culture of collaboration, continuous improvement, and engineering excellence within the team
Employ a diverse set of tools and platforms including Python, AWS, Databricks, Docker, Kubernetes, FastAPI, Terraform, Snowflake, Coralogix, and GitHub to build, deploy, and maintain scalable, highly available machine learning infrastructure

What we offer

Competitive pay
Comprehensive healthcare benefits
Financial assistance for things like hybrid work, family planning
Generous parental leave
Flexible time-off policies
Mental health and wellness resources
Learning, development, and recognition programs

Fulltime

Staff Bioinformatics Scientist - Genetics

The Staff Bioinformatics Scientist is largely self-driven, working in collaborat...

Location

United States , San Diego

Salary:

160000.00 - 240000.00 USD / Year

Exact Sciences

Expiration Date

Until further notice

Requirements

Ph.D. in bioinformatics, computational biology, computer science, mathematics, or related field
or Master’s degree in bioinformatics, computational biology, computer science, mathematics, or related field plus 4 years of experience in lieu of a Ph.D.
or Bachelor’s degree in bioinformatics, computational biology, computer science, mathematics, or related field plus 6 years of experience in lieu of Ph.D.
8+ years of industry or academia experience in bioinformatics
6+ years of experience in medical device/IVD, biotech, life science or pharmaceutical industry
Demonstrated experience in developing statistical and quantitative methods
Deep knowledge and thorough understanding of molecular biology and/or biochemistry and/or next-generation sequencing (NGS) and genomics
Demonstrated expertise in product/assay research, design, or development
Basic computer skills to include Internet navigation, Email usage, and word processing
Proficient in Microsoft Office to include Excel, Word, and PowerPoint

Job Responsibility

Conduct comprehensive analyses within several product or technology areas and identify problems and discrepancies
Independently plan and develop algorithms
Independently develop, plan, and analyze results of experiments within several product or technology areas within defined timelines
effectively present and clearly communicate findings at data meetings, group meetings and project team meetings to inform and enable project progression
Critically analyze research/experimental data, interpret the results, and provide insights into the next steps and the direction of the project for successful outcomes
Contribute towards the development of timeline and plan for new assignments/study/projects
Provide technical guidance to junior scientists in project teams
Manage bench-generated data and bioinformatics outputs within high performance computing (HPC) or cloud computing environment
Determine, utilize, and apply methods or technologies effectively and provide ideas for new techniques, when appropriate
Maintain knowledge of technological industry developments that could assist in completion of an assignment or aid in the development of new processes or procedures

What we offer

paid time off (including days for vacation, holidays, volunteering, and personal time)
paid leave for parents and caregivers
a retirement savings plan
wellness support
health benefits including medical, prescription drug, dental, and vision coverage
bonus eligible

Fulltime

Staff Data Scientist, Growth

We are seeking a sales-oriented Staff Data Scientist – think Sales Engineer, but...

Location

United States , Seattle; New York City; Boston

Salary:

160000.00 - 200000.00 USD / Year

Pearl Health

Expiration Date

Until further notice

Requirements

8+ years of experience in performing results-driven quantitative analysis in a healthcare management or professional consulting environment
A degree in statistics, applied math, computer science, engineering or a related field (e.g., healthcare policy) is strongly preferred
SQL expertise and strong foundation in at least one of the main data science programming languages (Python, R, Julia, Scala, Matlab)
Python is our current primary language and is preferred
Eloquent communicator who can communicate deep technical nuance to internal teams while up-leveling understanding for lay audiences
Relish synthesizing the complexity of the healthcare/financial ecosystem into actionable insights that provide value to providers
A proven mentor who fosters a culture of technical rigor and mentors more junior team members
A proven ability to apply research and analytic models to inform growth operations, with a high 'hit rate' that indicates accurate intuition for promising nascent research

Job Responsibility

Engaging with sales leads as a 'human explicability layer,' up-leveling understanding for non-technical audiences to ensure that complex underwriting results are communicated clearly to drive sales
While you will have direct contact with prospects, you will also identify opportunities to automate explicability through robust technical systems
Crucially, you will use points of friction or resonance observed in the field to inspire the roadmap for our core ML team, ensuring our models and features evolve in direct response to market needs and stakeholder feedback
Leading complex and dynamic collaborations between the Data Science and Growth teams
This requires not just organizing resources, but proactively identifying and mitigating risks to ensure SLAs are met or exceeded
Helping us refine the competitiveness of our value-based care contracts
You will anticipate stakeholder needs and provide strategic guidance on which aspects of our sales offerings are compelling, proactively proposing new work based on these business insights
Ensuring quality and availability of various data sources
You will set standards for code quality and reproducibility regarding lead information, sales touchpoints, and financial analyses
Leveraging a deep understanding of ML concepts (e.g., using SHAP or feature importance but also less formal quantitative instinct) to consult on the application of payment models

What we offer

We offer a competitive benefits package
This role is eligible for a discretionary performance bonus and equity options

Fulltime

Staff Machine Learning Engineer

We are seeking a Staff Machine Learning Engineer to join our Foundation AI team....

Location

United States , Boston

Salary:

170000.00 - 230000.00 USD / Year

Whoop

Expiration Date

Until further notice

Requirements

Advanced degree (Master’s or Ph.D.) in Computer Science, Machine Learning, Electrical Engineering, or a related field, or equivalent professional experience
7+ years of experience in applied ML, AI research, or large-scale modeling, with a track record of delivering production systems
Expertise in modern deep learning (e.g., transformers, state space models) and multimodal model training
Proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow)
Experience building and scaling large datasets and training large models in distributed compute environments
Strong applied experience with representation learning, self-supervised methods, and fine-tuning for downstream applications
Familiarity with MLOps best practices including model versioning, evaluation, CI/CD for ML, and cloud-based compute
Excellent communication skills and ability to collaborate cross-functionally with engineers, researchers, and product teams
Passion for WHOOP’s mission to improve human performance and extend healthspan through science and technology

Job Responsibility

Design, train, and optimize large-scale multimodal foundation models that integrate wearable sensor data, text, biomarkers, and behavioral data
Conduct applied research in self-supervised learning, representation learning, and downstream task fine tuning to advance WHOOP’s core model capabilities
Develop scalable, distributed training pipelines for large models on high-performance compute environments
Collaborate with MLOps, data engineering, and software engineering teams to operationalize models for production deployment, ensuring robustness, reproducibility, and observability
Partner with product and research teams to translate foundation model capabilities into downstream features that deliver meaningful member value
Contribute to the technical roadmap and architectural direction for foundation model development at WHOOP
Serve as a technical mentor for other data scientists, sharing best practices in deep learning, large-scale training, and multimodal data integration
Ensure models adhere to WHOOP’s standards for ethical, transparent, and privacy-preserving AI

What we offer

competitive base salaries
meaningful equity
benefits
generous equity package

Fulltime

Staff Data Scientist

The Strategic Data Science team provides Airwallex’s Leadership with the data, t...

Location

United States , San Francisco

Salary:

Not provided

Airwallex

Expiration Date

Until further notice

Requirements

7+ years industry experience
Advanced degree (PhD or MS) in a quantitative field (e.g. Statistics, Engineering, Sciences, Computer Science, Economics)
Excellent communication skills with a proven track record of working directly with executive-level stakeholders to influence strategy
Expertise in causal inference methods and forecasting
Expertise in data querying languages (e.g. SQL) and scripting languages (e.g. Python, R)
Experience with data architecture technologies such as Airflow, Databricks, and dbt

Job Responsibility

Be the go-to data partner for the CEO and Regional Business Leads
Use causal inference methods to understand how macroeconomic events impact the business
Leverage AI to generate insights and improve business and team efficiency
Lead Airwallex’s forecasting efforts by 1) building tools that aggregate and evaluate forecasts 2) applying advanced statistical methods to build your own forecasts
Scope and build data products
Mentor junior team members and cultivate an environment grounded in technical excellence, clear communication, and proactive critical thinking

Fulltime

Staff Data Scientist

The Strategic Data Science team provides Airwallex’s Leadership with the data, t...

Location

Singapore , Singapore

Salary:

Not provided

Airwallex

Expiration Date

Until further notice

Requirements

7+ years industry experience
Advanced degree (PhD or MS) in a quantitative field (e.g. Statistics, Engineering, Sciences, Computer Science, Economics)
Excellent communication skills with a proven track record of working directly with executive-level stakeholders to influence strategy
Expertise in causal inference methods and forecasting
Expertise in data querying languages (e.g. SQL) and scripting languages (e.g. Python, R)
Experience with data architecture technologies such as Airflow, Databricks, and dbt

Job Responsibility

Be the go-to data partner for the CEO and Regional Business Leads
Use causal inference methods to understand how macroeconomic events impact the business
Leverage AI to generate insights and improve business and team efficiency
Lead Airwallex’s forecasting efforts by 1) building tools that aggregate and evaluate forecasts 2) applying advanced statistical methods to build your own forecasts
Scope and build data products
Mentor junior team members and cultivate an environment grounded in technical excellence, clear communication, and proactive critical thinking

Fulltime

Member of Technical Staff, Applied Scientist

Microsoft Corporation

Location:
United States , Mountain View

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
April 01, 2026

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