Member of Technical Staff, Reinforcement Learning Systems Job at Microsoft Corporation (Mountain View)

Member of Technical Staff (RL systems)

Microsoft AI is looking for a Member of Technical Staff – Reinforcement Learning...

Location

Switzerland , Zürich

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

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
Master’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 Bachelor’s Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR equivalent experience
Experience with generative AI
Experience with distributed computing
Experience in leading technical projects and supporting architectural decisions with data

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

Member of Technical Staff, Microsoft Robotics (Robotics Simulation)

Microsoft’s Discovery and Quantum (MDQ) division develops and delivers advanced ...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

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.
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

Design, develop, and maintain physics-based simulation frameworks for robotics applications, including accurate modeling of rigid-body dynamics, articulated mechanisms, contact and friction, deformable objects, and fluid interactions as required by target robot platforms.
Implement essential robotics simulation features, including accurate sensor models (cameras, LiDAR, IMUs, force/torque sensors, tactile arrays), actuator models, controller interfaces, and communication protocols that mirror real robot hardware behavior.
Build real-to-sim and sim-to-real workflows for dynamic environments and robotics tasks, implementing domain randomization, system identification, and physics parameter tuning to minimize sim-to-real gaps.
Create and maintain asset toolchains supporting industry-standard formats (USD, URDF, MJCF, SDF) and integrate with 3D content pipelines for environment and robot model ingestion.
Develop simulation infrastructure for robust autonomy test and evaluation, enabling the use of rigorous test methods and design of experiments for validation and verification-based of robotics technologies and algorithms.
Develop simulation infrastructure for robot learning policies, including reinforcement learning training at scale, with parallelized environment instances, reward instrumentation, curriculum management, and integration with distributed ML training frameworks.
Collaborate closely with robotics engineers, ML researchers, and platform engineers to enable large-scale robotics development, training pipelines, benchmarking suites, and automated evaluation workflows.
Lead architectural decisions for simulation platform selection, customization, and extension, evaluating and integrating engines such as MuJoCo, Isaac Sim, Gazebo, Genesis or proprietary solutions based on fidelity, performance, and scalability requirements.
Review product code and test code to ensure it meets team standards for simulation accuracy, performance, and maintainability, coaching and providing feedback to develop other engineers’ skills.
Drive efforts to integrate logging and instrumentation for gathering telemetry data on simulation performance, fidelity metrics, and training pipeline health.

Fulltime

Member of Technical Staff, Applied Scientist

As Microsoft continues to push the boundaries of AI, we are on the lookout for p...

Location

United States , Mountain View

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.
Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.
3+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).
Experience presenting at conferences or other events in the outside research/industry community as an invited speaker.
3+ years experience conducting research as part of a research program (in academic or industry settings).
1+ year(s) experience developing and deploying live production systems, as part of a product team.
1+ year(s) experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.

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.

Member of technical staff - Research - Model

H exists to push the boundaries of superintelligence with agentic AI. By automat...

Location

France; United Kingdom , Paris; London

Salary:

Not provided

H Company

Expiration Date

Until further notice

Requirements

Strong programming skills (Python, Git)
Expertise in deep learning frameworks (PyTorch, JAX, TensorFlow)
Experience with large-scale distributed training of LLMs and VLMs
Hands-on experience with LLM training, alignment, and reinforcement learning
Knowledge of multimodal architectures and applications
Publications in top-tier AI conferences (e.g., NeurIPS, ICML, CVPR, ACL, ICCV)
Advanced degree (PhD or MSc) in a relevant field (e.g., ML, DL, NLP, CV)
Excellent communication and presentation skills
Strong collaboration and teamwork skills
Passion for AI and problem-solving

Job Responsibility

Develop and train advanced LLMs and VLMs, including multimodal architectures
Research and implement training methods for enhanced capabilities like instruction following and tool use
Design and optimize data pipelines and training systems for large-scale distributed training
Collaborate with cross-functional teams to integrate models into agentic AI systems
Evaluate model performance and communicate findings to stakeholders
Stay current with advancements in LLMs, VLMs, and related fields

What we offer

Join the exciting journey of shaping the future of AI, and be part of the early days of one of the hottest AI startups
Collaborate with a fun, dynamic and multicultural team, working alongside world-class AI talent in a highly collaborative environment
Enjoy a competitive salary
Unlock opportunities for professional growth, continuous learning, and career development

Fulltime

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

Accounts Payable Supervisor/Manager

We are looking for an experienced Accounts Payable Supervisor/Manager to lead me...

Location

United States , Philadelphia

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Accounting, Finance, or a related field, or equivalent practical experience with at least 5 years in accounts payable, including experience in a similar leadership capacity
Demonstrated background in accounts payable operations, including invoice coding, payment processing, check runs, and ACH transactions
Working knowledge of purchase orders, invoice matching, discrepancy research, and purchase price variance review
Experience supervising or mentoring staff, with the ability to manage workload, develop team performance, and promote accountability
Familiarity with KPI reporting and the use of metrics to evaluate productivity, accuracy, and process effectiveness
Understanding of internal controls and compliance expectations within a finance or shared services environment
Strong communication and problem-solving skills with the ability to collaborate across departments and handle escalated payment issues effectively

Job Responsibility

Lead and support a team of 4 to 6 accounts payable team members responsible for merchandise-related transactions, setting clear expectations for accuracy, timeliness, and service quality
Review daily workflow and exception activity to ensure payment discounts are captured when available and unresolved items are addressed within established timelines
Apply strong knowledge of purchase order matching and invoice handling to identify control gaps and recommend practical process improvements
Partner with internal departments to investigate payment discrepancies, resolve invoice issues, and maintain smooth coordination across business functions
Monitor how effectively the team uses current systems and tools, and organize coaching or training when performance gaps or learning needs are identified
Guide the adoption and ongoing use of automation solutions that improve merchandise processing efficiency, including enhancements to existing platforms and future tools
Track operational metrics and key performance indicators for the merchandise accounts payable function, and share trends and insights with both team members and leadership
Provide hands-on support with high invoice volume and complex exception resolution while mentoring staff to strengthen technical capability and overall performance
Contribute to audit readiness by preparing documentation, supporting annual audit activities, and reinforcing adherence to company policies and quality standards

What we offer

Medical
vision
dental
life and disability insurance
401(k) plan

Fulltime

New

Cover Supervisor

This permanent, full-time position introduces a dynamic professional into a thri...

Location

United Kingdom , Bradford

Salary:

26403.00 - 32066.00 GBP / Year

Randstad

Expiration Date

July 18, 2026

Requirements

Relevant Experience: Prior experience supporting young people within an educational or mentorship capacity
Enhanced DBS: A valid Enhanced DBS clearance registered on the Update Service (or a willingness to apply for one)
Proactive Mindset: A self-motivated approach to identifying classroom needs and stepping in to assist without constant supervision
Eligibility to Work: Valid legal entitlement to work full-time in the UK
Behaviour Management: The ability to de-escalate low-level disruption quickly and assertively using positive reinforcement
Communication: Exceptional verbal and non-verbal communication skills to deliver instructions clearly to diverse student groups
Adaptability: High emotional intelligence and cognitive flexibility to manage sudden changes in schedules or lesson plans
Time Management: Mastery over the clock to ensure lessons start on time, paces are maintained, and clean-up occurs before the bell
Interpersonal Skills: The natural ability to build rapid, respectful rapport with both secondary school students and staff members
Problem-Solving: Sharp, on-the-spot critical thinking to resolve classroom challenges or technical issues independently

Job Responsibility

Classroom Management: Maintain a focused and orderly learning environment, ensuring the school's behaviour policy is consistently enforced
Lesson Delivery: Supervise and deliver pre-set work left by the absent subject teacher, ensuring students understand the tasks
Student Engagement: Actively assist and guide students with their work, keeping them motivated and on task throughout the period
Registration: Accurately record student attendance at the beginning of each lesson using the school's administrative system
Safety & Safeguarding: Ensure a safe learning environment by adhering strictly to the academy's health, safety, and safeguarding protocols
Handover Reporting: Collect completed student work and write detailed handover notes for the returning classroom teacher
Adaptability: Move seamlessly between different subject areas and year groups throughout the school day as required
Resource Management: Ensure all classroom resources, textbooks, and equipment are distributed fairly and returned tidy
Inclusion Support: Provide tailored guidance to students who require extra assistance to access the pre-prepared lesson plan
Ethos Alignment: Embody and promote the core values, inclusive culture, and community spirit of the academy trust

What we offer

A supportive, collaborative working environment
Opportunities for career progression and ongoing professional development
The chance to make a significant impact on the lives of students
Competitive salary and benefits package
A Refer a Friend scheme where you could earn a £300 Love2shop voucher (subject to terms and conditions)
training and education
Safeguarding & Prevent

Fulltime

Staff Researcher – Embodied AI and Robotics

GM Israel (Herzliya) takes a significant part in introducing sophisticated softw...

Location

Israel , Herzliya

Salary:

Not provided

General Motors

Expiration Date

Until further notice

Requirements

PhD or MSc with over 10 years of experience in AI, ML, computer science, engineering, physics or relevant areas
Expert-level knowledge in one or more of these areas: deep learning, autonomous agents, large-scale multiagent systems, prediction, distributed optimization, and reinforcement learning
Experience in creating and implementing reinforcement learning algorithms
Expertise in manipulating high-volume, high-dimensional data from varying sources with machine learning techniques
Experience in prototyping algorithms, implementing and testing software on hardware
Programming background: Python, AI/ML environments (PyTorch, TensorFlow, sklearn, etc.)

Job Responsibility

Lead novel applied AI and Controls research focusing on robotics
Develop AI/ML/Controls technologies that will change the future of mobility
Collaborate with world-class universities / industry partners while publishing research outcomes internally and externally
Explore, invent, innovate, implement, evaluate and test algorithms as an independent yet integral member of a research team
Identify research gaps, propose, plan and execute complex research projects
Maintain state-of-the-art technical expertise in AI/ML/Controls
Generate intellectual property, document results and publish papers
Develop requirements and evaluation metrics for AI/ML/Controls
Lead research and/or experiments to validate research ideas in developing
Write timely and high-quality research reports, external publications, and records of invention

Fulltime

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Member of Technical Staff, Reinforcement Learning Systems

Job Description

Job Responsibility

Requirements

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