Member of Technical Staff - Data 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

Staff LLM Engineer

Join GoFundMe as our next Staff LLM Engineer in the Applied Science organization...

Location

Argentina , Buenos Aires

Salary:

Not provided

GoFundMe

Expiration Date

Until further notice

Requirements

7+ years of hands-on experience in machine learning, data science, or related fields, with a strong emphasis on research, scientific methodology, and practical engineering applications
Extensive knowledge of machine learning algorithms and statistical modeling, coupled with proficiency in Python and ML libraries/frameworks such as TensorFlow, PyTorch, Scikit-learn, and others
Experience with LLM-based applications and development, including commercial solutions such as OpenAI API and Anthropic, as well as open-source models and frameworks like Hugging Face, LangChain, Llama, etc.
Experience designing, developing, and deploying end-to-end machine learning systems, including data pipelines, model training and serving, and monitoring solutions
Strong leadership skills, including guiding projects and mentoring team members, fostering a collaborative and high-performing work environment that values continuous improvement and knowledge sharing
Ability to break down complex projects, effectively scope and sequence work, and manage timelines to ensure the timely and successful delivery of machine learning initiatives
Excellent verbal and written communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders
Advanced degree (Master’s or Ph.D.) in Computer Science, Statistics, Data Science, or a related technical field is preferred

Job Responsibility

Design and implement diverse AI and ML applications and workflows, including agents, batch inferencing processes, and real-time inferencing solutions
Design and contribute to the development of search and retrieval algorithms, recommender systems, personalization algorithms, and more
Lead the research and development of sophisticated machine learning models and model training and evaluation pipelines
Drive operational excellence by leading initiatives to streamline AI and machine learning workflows and establish standardized procedures to ensure consistent and high-quality outcomes across our AI/ML projects and systems
Continuously monitor and evaluate emerging AI and machine learning research and technologies, integrating relevant advancements to enhance our solutions
Collaborate with both technical and non-technical colleagues, including data scientists, software engineers, product managers, and business stakeholders, to drive the successful implementation of machine learning projects
Coach and mentor fellow engineers, contributing to our culture of collaboration, scientific inquiry, continuous learning, and engineering excellence
Employ a diverse set of tools and platforms, including Python, AWS, Databricks, Docker, Kubernetes, FastAPI, Terraform, Snowflake, and GitHub, to develop, deploy, and maintain scalable and robust machine learning systems

What we offer

Make an Impact: Be part of a mission-driven organization making a positive difference in millions of lives every year
Innovative Environment: Work with a diverse, passionate, and talented team in a fast-paced, forward-thinking atmosphere
Collaborative Team: Join a fun and collaborative team that works hard and celebrates success together
Competitive Benefits: Enjoy competitive pay and comprehensive healthcare benefits
Holistic Support: Enjoy financial assistance for things like hybrid work, family planning, along with generous parental leave, flexible time-off policies, and mental health and wellness resources to support your overall well-being
Growth Opportunities: Participate in learning, development, and recognition programs to help you thrive and grow
Commitment to DEI: Contribute to diversity, equity, and inclusion through ongoing initiatives and employee resource groups
Community Engagement: Make a difference through our volunteering program

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 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

AI Product Manager

Analyzes, designs, programs, debugs, and modifies software enhancements and/or n...

Location

Singapore , Singapore

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in Computer Science, Information Systems, or equivalent
Typically 6-10 years experience
Extensive experience with multiple software applications design tools and languages
Excellent analytical and problem solving skills
Experience in overall architecture of software applications for products and solutions
Designing and integrating software applications running on multiple platform types into overall architecture
Evaluating forms and processes for software applications testing and methodology, including writing and execution of test plans, debugging, and testing scripts and tools
Excellent written and verbal communication skills
mastery in English and local language
Ability to effectively communicate product architectures, design proposals and negotiate options at senior management levels

Job Responsibility

Leads multiple project teams of other software applications engineers and internal and outsourced development partners responsible for all stages of design and development for complex products and platforms, including solution design, analysis, coding, testing, and integration
Manages and expands relationships with internal and outsourced development partners on software applications design and development
Reviews and evaluates designs and project activities for compliance with applications design and development guidelines and standards
provides tangible feedback to improve product quality and mitigate failure risk
Provides domain-specific expertise and overall software applications leadership and perspective to cross-organization projects, programs, and activities
Drives innovation and integration of new technologies into projects and activities in the software applications design organization
Provides guidance and mentoring to less- experienced staff members
Product strategy and vision: Define the product vision, roadmap, and strategy for AI-powered features or products
Requirements and prioritization: Translate business needs into clear technical requirements and prioritize features for AI/ML development
Team collaboration: Work closely with a cross-functional team that includes AI/ML engineers, data scientists, UX/UI designers, and other technical roles

What we offer

Health & Wellbeing: comprehensive suite of benefits that supports physical, financial and emotional wellbeing
Personal & Professional Development: specific programs catered to helping you reach any career goals
Unconditional Inclusion: unconditionally inclusive in the way we work and celebrate individual uniqueness

Staff Geologist

Evaluate and interpret subsurface field and sampling data including soil and gro...

Location

United States , Wichita

Salary:

Not provided

Terracon Consultants, Inc

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Geology, Hydrogeology or related field
Minimum of 3 years’ related experience
Valid driver’s license with acceptable violation history

Job Responsibility

Evaluate and interpret subsurface field and sampling data including soil and groundwater
Generate subsurface maps and cross-sections
Collaborate with engineering and environmental scientist staff
Oversee field monitoring and testing of soils including boring investigations and soil type classification
Interpret soil, bedrock and groundwater elevation and quality data
Prepare written plans and reports related to site investigations, assessments and remediation activities
Follow safety rules, guidelines and standards for all projects
Participate in pre-task planning
Report safety issues or concerns to management
Demonstrate quality practices

What we offer

Medical
Dental
Vision
Life insurance
401(k) plan
Paid time off
Holidays
Education reimbursement
Various bonus programs

Fulltime

Senior Clinical Research Associate II - FSP

As a Clinical Research Associate (CRA) at Parexel, you act as an integral part t...

Location

Turkey

Salary:

Not provided

Parexel

Expiration Date

Until further notice

Requirements

Extensive knowledge of clinical trial methodologies, ICH/GCP, Food and Drug Administration (FDA) and local country regulations
Monitoring Experience: Minimum 5 years relevant experience in clinical research site monitoring (preferably 3 years in Oncology)
Preferred therapeutic experience in Oncology, Vaccines, Internal Medicine or Infectious Diseases
Global clinical trial experience
Must be fluent in English and in the native language(s) of the country they will work in
Significant travel (60-80%) within area is required. May require some international travel and some weekend travel
Valid driver’s license and passport required
Demonstrated knowledge of clinical research and development processes and ability to gain command of process details
Demonstrated knowledge of global and local regulatory requirements
Demonstrated understanding of key operational elements of clinical research (e.g., monitoring, data acquisition and cleaning, reporting, etc.)

Job Responsibility

Oversight of Monitoring Responsibilities and Study Conduct
Ensure proper conduct of clinical trials in accordance with the Study Monitoring Plan (SMP) and applicable prevailing laws, GCP, and client standards to achieve project goals, timelines and quality
Manage assigned operational aspects for implementation of clinical trial activities at assigned investigator sites from site activation through to database lock, ensuring relevant timelines and quality deliverables are met
During study conduct, serve as the primary point of contact for assigned investigator sites. Work in partnership with and/or escalate to the SCP to ensure quality of site delivery
Interface with the study team as needed, facilitate information flow between members of the study team, vendors and assigned investigator sites
Partner with SCP to perform investigator site development, coaching and training of site personnel to ensure ongoing compliance with protocol and the safeguarding of patients
provide protocol training to, and address protocol related questions from the investigator site staff when required, including discussions on known/anticipated operational and clinical trial risks
Attend investigator meeting when required (virtual or F2F). Provide enrollment support and ensure progress by responding to site activation and recruitment issues from investigators. Partner with SCP and the study team to define and support recruitment initiatives at site level
Conduct onsite, remote/electronic monitoring as needed for study site initiation, routine monitoring and study site closure activities and ensure these are conducted accordance to the SMP, Standard Operating Procedures (SOPs) and commensurate with emerging issues and technologies
Monitor site level adverse events (AEs) and serious adverse events (SAEs) and collaborate with the Drug Safety Unit and follow-up with investigators sites, as needed, to bring SAE reports required information to resolution

What we offer

Flexible work arrangements
Career growth and development
Supportive and inclusive environment
Diverse therapeutic areas and project exposure
Advanced Technology

Manager, Genomics Hub

We are seeking a highly motivated and experienced Manager to lead Genomics Hub o...

Location

United States , Redwood City

Salary:

192000.00 - 257500.00 USD / Year

Altos Labs

Expiration Date

Until further notice

Requirements

Bachelors or Masters degree in genetics, genomics, molecular biology or a related field
A minimum of 2-5 years of laboratory experience in a genomics laboratory, with supervisory or project management experience
Deep expertise in NGS workflows (library prep, single cell genomics, spatial omics, etc) and instrumentation
Proven ability to translate technical and scientific knowledge into robust, relevant, and impactful operational workflows
Proven ability to leverage deep knowledge of best practices to develop and implement standardized processes and procedures
Proven ability to train and educate scientific team members on complex and routine techniques and procedures
Experience managing technical teams and laboratory operations within a fast-paced biotech, pharmaceutical, or academic research environment
Demonstrated success in leading cross-functional process improvement and standardization initiatives
Demonstrated success in strong collaboration and communication with diverse teams and stakeholders

Job Responsibility

Laboratory Operations and workflow management: Manages the day-to-day operations of the genomics hub, providing hands on wet lab support for hub operations, ensuring smooth workflows for a wide range of genomics assay processes
Project Management: Assist with hub oversight and manage general operations, ensuring all activities align with company goals, standards, timelines and milestones
Staff Supervision: Train, guide, and supervise hub personnel and direct reports and implement standard operating procedures (SOPs) for all lab procedures
Equipment Management: Oversee the installation, maintenance, and troubleshooting of all laboratory equipment, optimizing instrument usage to maximize the workflow efficiency
Research Support and Consultation: Serve as a subject matter expert, consulting with researchers and investigators on experimental design, sample preparation and data collection
Technology Development: Collaborate with scientists in evaluating, developing, and implementing new technologies and assays to keep the hub at the cutting edge of genomic research
Administration and Finance: Manage hub’s administrative and financial functions, including developing budgets, ensuring responsible resource allocation and adherence to budget
Provide guidance and mentorship to direct reports and peers within the latitude of established company practices and procedures
Manage work and team performance primarily through direct reports, ensuring high-quality execution and professional development
Develop, implement, and manage training programs to build and maintain the technical expertise and proficiency of hub/institute personnel

Fulltime

Member of Technical Staff - Data 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:
February 17, 2026

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