CrawlJobs Logo

Member of Technical Staff - Machine Learning

United States, Mountain View 163000.00 - 296400.00 USD / Year · Job Posted April 01, 2026
Apply Position
Job Link Share

Job Description

As a Member of Technical Staff - Machine Learning, you will work to create LLM models for general purpose capabilities and for products. You may be responsible for developing new methods to train core LLM capabilities (including agentive), collecting data, evaluating LLMs, creating data flywheels, tooling for LLM training/evals, writing production quality code, and creating new user-facing features. You should be comfortable creating Reinforcement Learning data, fine tuning, or training classifiers or engineering prompts to create SOTA foundation models and support Microsoft products and the Cloud API. We’re looking for someone with experience in machine learning, software engineering, as well as an effective communicator and great teammate. The right candidate takes the initiative, is user-centered and enjoys building world-class AI experiences and products in a fast-paced environment.

Job Responsibility

  • Own and pursue a research agenda to improve model capability and performance for agentive application
  • Collaborate closely with the other research and product teams, from pretraining to model hosting to unlock new model capabilities
  • Build robust evaluations for tracking modeling improvements
  • Design, implement, test, and debug code across our research stack

Requirements

  • Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience
  • Demonstrated engineering experience or research experience (e.g. creating or leading the creation of a feature in a different company, complex graduate work, research papers, or other experience)
  • Experience prompting, evaluating, and working with large language models
  • Experience writing production-quality Python code

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Similar Jobs for

Member of Technical Staff - Machine Learning

8 matching positions

Member of Technical Staff - Machine Learning

As a Member of Technical Staff - Machine Learning (AI Team), you will work to cr...
Location
Location
United States , Mountain View
Salary
Salary:
119800.00 - 234700.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
  • Doctorate in Computer Science, Machine Learning, Human-Centered AI or related field AND 2+ year(s) experience (e.g., finetuning models with supervision or reinforcement learning, understanding and fixing data quality and curation, working with collaborators on creating new products)
  • OR Master's Degree in Computer Science, Machine Learning, or related field AND 5+ years experience (e.g., managing structured and unstructured data, developing and debugging models, creating infrastructure for AI-powered products)
  • OR Bachelor's Degree in Computer Science, Mathematics, Machine Learning, Physics, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying machine learning techniques and driving product direction)
  • Demonstrated engineering experience or research experience (e.g. creating or leading the creation of a feature in a different company, complex graduate work, research papers, or other experience)
  • 4+ years of data science experience (e.g., managing structured and unstructured data, applying machine learning techniques and driving product direction)
  • Experience prompting, evaluating, and working with large language models
  • Experience writing production-quality Python code
Job Responsibility
Job Responsibility
  • Leverage subject matter expertise to improve model quality for interactive and agentive experiences
  • Oversee data acquisition or generation efforts, ensuring that the data meets the model needs
  • Generalize machine learning (ML) solutions into repeatable frameworks
  • Lead evaluation efforts of models, including those deployed within Microsoft products and the Cloud API
  • Track advances in industry and academia, identifies relevant state-of-the-art research, and adapts algorithms and/or techniques to drive innovation and develop new solutions
  • Independently write efficient, readable, extensible code and model pipelines
  • Commit to a customer-oriented focus by acknowledging customer needs and perspectives and building AI products that delight customers
  • Fulltime
Read More
Arrow Right

Member of Technical Staff - Machine Learning

As a Member of Technical Staff - Machine Learning, you will work to create LLM m...
Location
Location
United States , Mountain View
Salary
Salary:
100600.00 - 199000.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
  • Master's degree in Computer Science or related technical field AND 1+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
  • Doctorate in Computer Science, Machine Learning, Human-Centered AI or related field and experience in (e.g., finetuning models with supervision or reinforcement learning, understanding and fixing data quality and curation, working with collaborators on creating new products)
  • Experience in machine learning, software engineering
  • Effective communicator and great teammate
  • Takes the initiative, is user-centered and enjoys building world-class AI experiences and products in a fast-paced environment
Job Responsibility
Job Responsibility
  • Own and pursue a research agenda to improve model capability and performance for agentive application
  • Collaborate closely with the other research and product teams, from pretraining to model hosting to unlock new model capabilities
  • Build robust evaluations for tracking modeling improvements
  • Design, implement, test, and debug code across our research stack
  • Work to create LLM models for general purpose capabilities and for products
  • Developing new methods to train core LLM capabilities (including agentive), collecting data, evaluating LLMs, creating data flywheels, tooling for LLM training/evals, writing production quality code, and creating new user-facing features
  • Creating Reinforcement Learning data, fine tuning, or training classifiers or engineering prompts to create SOTA foundation models and support Microsoft products and the Cloud API
  • Fulltime
Read More
Arrow Right

Member of Technical Staff - Machine Learning Engineer

As Microsoft continues to push the boundaries of AI, we are on the lookout for p...
Location
Location
United States , Mountain View
Salary
Salary:
119800.00 - 234700.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree in Computer Science, or related technical discipline AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
  • 3+ years of experience building and deploying ML models in production environments
  • Strong coding skills in Python and experience with ML frameworks (e.g., PyTorch, TensorFlow)
  • Familiarity with data processing tools (e.g., Spark, Pandas) and cloud platforms (e.g., Azure, AWS)
  • Experience with classification, recommendation, or personalization systems
  • Experience using large language models (LLMs) for machine learning and AI applications
  • Hands-on experience in growth engineering, driving improvements in user acquisition, engagement, and retention
  • Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn
  • Expertise in personalization strategies and user behavior modeling
  • Strong problem-solving skills and the ability to independently design solutions to complex challenges
Job Responsibility
Job Responsibility
  • Develop and Deploy Models: Design, develop, and implement machine learning models for high-performance recommendation systems and personalized feeds
  • Large Language Model Expertise: Leverage large language models (LLMs) to create scalable, intelligent solutions for content understanding, user engagement, and relevance ranking
  • Experimentation and Analysis: Drive data-driven experimentation using A/B testing, advanced analytics, and statistical techniques to identify growth opportunities and refine algorithms
  • Infrastructure Optimization: Develop and optimize pipelines, tools, and infrastructure to support real-time decision-making, personalization, and predictive analytics
  • Technical Leadership: Mentor team members and foster collaboration within cross-functional teams, including engineers, product managers, and designers
  • Continuous Innovation: Stay informed on emerging trends in AI and machine learning, and integrate them to drive innovation and improve product offerings
  • Cross-functional Collaboration: Articulate findings and recommendations to technical and non-technical audiences, influencing decisions across teams and leadership
  • Embody our Culture and Values
  • Fulltime
Read More
Arrow Right

Member of Technical Staff, Machine Learning Datasets

We are building AI to simulate the world through merging art and science. We bel...
Location
Location
United States
Salary
Salary:
270000.00 - 370000.00 USD / Year
runwayml.com Logo
Runway
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 4+ years of relevant experience in machine learning or dataset engineering, ideally with multimodal datasets
  • Experience with running and optimizing models offline at large scale
  • Excellent data modeling skills and experience with data curation
  • Proficiency in model finetuning and optimization for data preprocessing
  • Strong data analysis and SQL skills
  • Experience in creating evaluations and running benchmark analyses
  • Solid knowledge of at least one machine learning framework (e.g. PyTorch, JAX, TensorFlow)
  • Very strong programming skills and ability to write clean and maintainable code
  • Deep interest in building human-in-the-loop systems for creativity
  • Ability to rapidly prototype solutions and iterate on them with tight product deadlines
Job Responsibility
Job Responsibility
  • Develop and maintain large-scale, multimodal datasets for training and evaluating models
  • Optimize models for data preprocessing tasks
  • Create and run evaluations and benchmark analyses for datasets and models
  • Implement fast iteration cycles and feedback loops to continuously improve model datasets
  • Work with a world-class research team to push the boundaries of content creation
  • Evaluate new datasets and models for upstream data tasks that feed into our products
  • Fulltime
Read More
Arrow Right

Member of Technical Staff, Machine Learning Engineer

We are building AI to simulate the world through merging art and science. We bel...
Location
Location
United States
Salary
Salary:
270000.00 - 370000.00 USD / Year
runwayml.com Logo
Runway
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of relevant engineering or research experience in machine learning, computer vision and/or graphics
  • Solid knowledge of at least one machine learning framework (e.g. PyTorch, Tensorflow)
  • Very strong programming skills and ability to write clean and maintainable research code
  • Deep interest in building human-in-the-loop systems for creativity
  • Ability to rapidly prototype solutions and iterate on them with tight product deadlines
  • Strong communication, collaboration, and documentation skills
Job Responsibility
Job Responsibility
  • Develop innovative research projects in computer vision, focusing on generative models for image and video
  • Work with a world-class engineering team pushing the boundaries of content creation on the browser
  • Collaborate closely with the rest of the product organization to bring cutting-edge machine learning models to production
  • Fulltime
Read More
Arrow Right

Member of Technical Staff, Reinforcement Learning Systems

Microsoft AI is looking for a Member of Technical Staff – Reinforcement Learning...
Location
Location
United States , Mountain View
Salary
Salary:
139900.00 - 274800.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
  • Excel in programming (especially parallel/concurrent and distributed), software engineering, and system design
  • Have experience in large-scale systems, preferably having built some components from scratch
  • Thrive in a highly collaborative, fast-paced environment
  • Have a high degree of craftsmanship and pay close attention to details
  • Effectively manage multiple responsibilities and can adjust to shifting priorities
Job Responsibility
Job Responsibility
  • Develop and tune the pretraining scalable software for Nvidia GB200 72NVL CX8 and AMD MIxxx architectures
  • Benchmark GB200 and AMD MIxxx GPU clusters
  • Gather data and insights to develop the pretraining compute roadmap
  • Care deeply about conversational AI and its deployment
  • Actively contribute to the development of AI models that are powering our innovative products
  • Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively
  • Enjoy working in a fast-paced, design-driven, product development cycle
  • Embody our Culture and Values
  • Fulltime
Read More
Arrow Right

Member of Technical Staff, Microsoft Robotics (Robot Learning)

Microsoft's Discovery and Quantum (MDQ) division develops and delivers advanced ...
Location
Location
United States , Redmond
Salary
Salary:
102100.00 - 202200.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
  • 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.
Job Responsibility
Job Responsibility
  • Develop and train end-to-end robot learning models, including vision-language-action (VLA) family of models, imitation learning policies, and reinforcement learning agents for manipulation, locomotion, and navigation tasks
  • Build, maintain, and optimize data pipelines for robot learning, including collection infrastructure for teleoperation demonstrations, data preprocessing, augmentation, quality filtering, and dataset versioning
  • Train machine learning and deep learning models on GPU computing clusters, implementing distributed training, hyperparameter optimization, curriculum learning, and training infrastructure automation
  • Deploy trained models to physical robot platforms, conducting real-world evaluation, debugging sim-to-real transfer issues, and iterating on model performance based on deployment feedback
  • Implement and maintain evaluation frameworks for robot learning models, including standardized task benchmarks, success rate tracking, generalization testing across objects and environments, and regression detection
  • Collaborate with robotics researchers, simulation engineers, and platform engineers to improve the end-to-end model development lifecycle, from data collection through deployment and monitoring
  • Write production-quality code in Python (including NumPy, PyTorch, JAX) that is well-tested, maintainable, and extensible, adhering to team coding standards and best practices
  • Review code and technical designs, providing feedback to develop other engineers' skills and drive adherence to coding patterns, security practices, and engineering excellence standards
  • Stay current with state-of-the-art research in robot learning, foundation models for robotics, and physical AI, evaluating new model technologies and techniques for adoption and integration into the platform
  • Contribute to internal knowledge sharing through technical documentation, brown bag sessions, blog posts, and mentoring of team members
  • Fulltime
Read More
Arrow Right

Member of Technical Staff - Post Training, Reinforcement Learning

At Liquid, we’re not just building AI models—we’re redefining the architecture o...
Location
Location
United States , San Francisco; Boston
Salary
Salary:
Not provided
liquid.ai Logo
Liquid AI
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Strong Python and PyTorch proficiency, with hands-on experience optimizing training pipelines
  • Hands-on experience with reinforcement learning and the ability to translate optimization techniques from theory into practical implementations
  • Track record of integrating research ideas into robust, maintainable code
  • Experience with frameworks like DeepSpeed, FSDP, or vLLM for efficient model training and inference
  • Experience working with data pipelines, including curation, validation, and analysis to support post-training objectives
  • Contributions to open-source machine learning projects
  • M.S. or Ph.D. in Computer Science, Electrical Engineering, Mathematics, or a related field
Job Responsibility
Job Responsibility
  • Profile, optimize, and scale RL training runs to reduce iteration time
  • Integrate new optimization techniques as they emerge from the research community
  • Design and implement tools and environments that test the boundaries of model capabilities
  • Turn proof-of-concept ideas into robust training pipelines and best-in-class models
What we offer
What we offer
  • The opportunity to work directly on state-of-the-art AI systems at one of the most advanced AI companies in the world
  • A fast-paced, collaborative environment where your work has direct impact on model performance and product capability
  • The satisfaction of knowing your craftsmanship helps define the next frontier in AI
  • Fulltime
Read More
Arrow Right