Member of Technical Staff (RL systems) Job at Microsoft Corporation (Zürich)

Member of Technical Staff – Model Training

At Inflection AI, our public benefit mission is to harness the power of AI to im...

Location

United States , Palo Alto

Salary:

175000.00 - 350000.00 USD / Year

Inflection AI

Expiration Date

Until further notice

Requirements

Have hands-on experience training and fine-tuning large transformer models on multi-GPU / multi-node clusters
Are fluent in PyTorch and its ecosystem tools (Torchtune, FSDP, DeepSpeed) and enjoy digging into distributed-training internals, mixed precision, and memory-efficiency tricks
Have shipped or published work in RLHF, DPO, GRPO, or RLAIF and understand their practical trade-offs
Care deeply about training tools, pipelines, and reproducibility—you automate the boring parts so you can iterate on the fun parts
Balance research curiosity with product pragmatism—you know when to run an ablation and when to ship
Communicate crisply with both technical and non-technical teammates
Have a bachelor’s degree or equivalent in a related field to the offered position requirements

Job Responsibility

Contribute to end-to-end post-training workflows—dataset curation, hyper-parameter search, evaluation, and rollout—using PyTorch, Torchtune, FSDP/DeepSpeed, and our internal orchestration stack
Prototype and compare alignment techniques (e.g., curriculum RL, multi-objective reward modeling, tool-use fine-tuning) and push the best ideas into production
Automate training at scale: build robust pipeline components, tools, scripts, and dashboards so experiments are reproducible and easy to trace
Define the metrics that matter
run A/B tests and iterate quickly to meet aggressive quality targets
Collaborate with inference, safety, and product teams to land improvements in customer-facing systems

What we offer

Diverse medical, dental and vision options
401k matching program
Unlimited paid time off
Parental leave and flexibility for all parents and caregivers
Support of country-specific visa needs for international employees living in the Bay Area
Competitive stock options

Member of technical staff - Research - Agent

About H: H exists to push the boundaries of superintelligence with agentic AI. B...

Location

France; United Kingdom , Paris; London

Salary:

Not provided

H Company

Expiration Date

Until further notice

Requirements

Senior Experience: Previous demonstrable role(s) as a Staff, Principal, or Senior Engineer (or equivalent Research Scientist) in a Frontier AI Lab with a proven track record of leading complex, end-to-end AI/ML projects from conception to production
Education / Publication: Preferably PhD (or equivalent research experience) in Machine Learning, Computer Science, or a related field, preferably with a strong publication record (e.g., NeurIPS, ICML, ICLR) in Computer Science
Core Expertise: Deep theoretical and practical expertise in Agentic AI and proven experience building, scaling, and shipping solutions involving foundation models (LLMs/VLMs)
Soft Skills: Collaborative: Enjoys collaboration and thrives in a teamwork-oriented, fast-paced research environment
High-Impact Communicator: Possesses impactful communication skills, with the ability to bridge the gap between research and engineering and articulate complex ideas clearly
Mission-Driven: Genuinely eager to explore and solve the new engineering and research challenges at the frontier of agentic AI

Job Responsibility

Research & Leadership: Design and develop new agents, proposing new research directions, e.g., combining state-of-the-art RL with foundation models (LLMs/VLMs)
Algorithm & Systems Design: Design, implement, and scale complex, high-performance systems for training large-scale agents. This includes both the foundational infrastructure and the novel algorithms, reward models, and sophisticated training environments
Research-to-Production: Collaborate closely with researchers and engineers to implement, test, and productionize new agent logics, learning algorithms, and system architectures
Evaluation & Reliability: Create, manage, and scale massive benchmarks and evaluation systems to rigorously track agent capabilities. You will own system reliability, scalability, and observability for our entire research infrastructure
Mentorship & Standards: Mentor and guide other engineers and researchers on the team, fostering technical excellence. You will establish and enforce engineering standards, tooling, and best practices for both code and research design
Innovation: Conduct thorough code and design reviews, champion technical innovation, and proactively address technical debt to accelerate the R&D lifecycle

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 Research

The Applied Researcher role is designed for engineers who love working across ML...

Location

United States , San Mateo

Salary:

Not provided

Fireworks AI

Expiration Date

Until further notice

Requirements

BS/MS in Computer Science, Electrical Engineering, Machine Learning, or a related field, or equivalent practical experience, open to all levels of experiences
Strong experience with PyTorch and modern Transformer architectures
Solid computer science fundamentals: data structures, algorithms, concurrency, distributed systems, networking
Hands-on experience training, fine-tuning, or evaluating machine learning models, preferably LLMs
Familiarity with recent developments in the LLM research domain, including model architectures, training methods, and evaluation strategies
Passion for partnering with customers: understanding their constraints, co-designing solutions, and iterating based on real-world feedback
Curiosity and enthusiasm for exploring a wide range of problem domains and project types - from quick experiments to long-running, complex engagements
Ability to operate in a fast-paced, ambiguous environment and drive projects independently

Job Responsibility

Sit at the intersection of ML research, systems engineering, and customer-facing problem solving
Work hands-on with customers and customer data to tune, evaluate and deploy models using various techniques such as SFT / DPO / RL
Help customers build competitive models using their unique data tailored to their unique products
Be the technical bridge between customer needs, customer data, and our tuning and serving infrastructure

What we offer

Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure
Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally
Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results
Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation

Fulltime

Member of Technical Staff, Next Generation Agents

Agentic LLM systems are being deployed widely across enterprise companies includ...

Location

Salary:

Not provided

Cohere

Expiration Date

Until further notice

Requirements

Strong software engineering skills
Proficiency in Python and have some experience with ML-related code (e.g., pytorch, numpy, etc.)
Experience with LLMs and agentic frameworks
Experience with post-training LLMs (SFT, PEFT, or RL*)
Experience with building synthetic data generation pipelines

Job Responsibility

Design and develop novel agentic solutions
Improve upon SOTA on hard agentic tasks
Research the next-generation of on-line learning-from-experience self-improvement
Work with partner teams (Reasoning, Post-training, Pre-training, etc.) to improve performance of agentic system
Work with an amazing team of researchers and engineers pushing the boundaries

What we offer

An open and inclusive culture and work environment
Work closely with a team on the cutting edge of AI research
Weekly lunch stipend, in-office lunches & snacks
Full health and dental benefits, including a separate budget to take care of your mental health
100% Parental Leave top-up for up to 6 months
Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend
6 weeks of vacation (30 working days!)

Fulltime

Member of Technical Staff, Agents Modeling

We’re looking for an experienced machine learning researcher / engineer who can ...

Location

United States , New York

Salary:

Not provided

Cohere

Expiration Date

Until further notice

Requirements

Have a PhD in computer science or related field or similar industry research experience
Strong software engineering skills
Proficiency in Python and experience with ML-related code (e.g., pytorch, numpy, etc.)
Experience with LLMs and agentic frameworks
Experience with post-training LLMs (SFT, PEFT, or RL*)
Experience with building synthetic data generation pipelines

Job Responsibility

Design and develop novel agentic solutions
Improve upon SOTA on hard agentic tasks
Research the next-generation of on-line learning-from-experience self-improvement
Work with partner teams (Reasoning, Post-training, Pre-training, etc.) to improve performance of agentic system
Work with an amazing team of researchers and engineers pushing the boundaries

What we offer

An open and inclusive culture and work environment
Work closely with a team on the cutting edge of AI research
Weekly lunch stipend, in-office lunches & snacks
Full health and dental benefits, including a separate budget to take care of your mental health
100% Parental Leave top-up for up to 6 months
Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend
6 weeks of vacation (30 working days!)

Fulltime

Member of Technical Staff - Inference

Prime Intellect is building the open superintelligence stack - from frontier age...

Location

United States , San Francisco

Salary:

Not provided

Prime Intellect

Expiration Date

Until further notice

Requirements

3+ years building and running large‑scale ML/LLM services with clear latency/availability SLOs
Hands‑on with at least one of vLLM, SGLang, TensorRT‑LLM
Familiarity with distributed and disaggregated serving infrastructure such as NVIDIA Dynamo
Deep understanding of prefill vs. decode, KV‑cache behavior, batching, sampling, speculative decoding, parallelism strategies
Comfortable debugging CUDA/NCCL, drivers/kernels, containers, service mesh/networking, and storage, owning incidents end‑to‑end
Python: Systems tooling and backend services
PyTorch: LLM Inference engine development and integration, deployment readiness
AWS/GCP service experience, cloud deployment patterns
Running infrastructure at scale with containers on Kubernetes
Architecture, CUDA runtime, NCCL, InfiniBand

Job Responsibility

Build a multi-tenant LLM serving platform that operates across our cloud GPU fleets
Design placement and scheduling algorithms for heterogeneous accelerators
Implement multi‑region/zone failover and traffic shifting for resilience and cost control
Build autoscaling, routing, and load balancing to meet throughput/latency SLOs
Optimize model distribution and cold-start times across clusters
Integrate and contribute to LLM inference frameworks such as vLLM, SGLang, TensorRT‑LLM
Optimize configurations for tensor/pipeline/expert parallelism, prefix caching, memory management and other axes for maximum performance
Profile kernels, memory bandwidth and transport
apply techniques such as quantization and speculative decoding
Develop reproducible performance suites (latency, throughput, context length, batch size, precision)

What we offer

Competitive compensation with significant equity incentives
Flexible work arrangement (remote or San Francisco office)
Full visa sponsorship and relocation support
Professional development budget
Regular team off-sites and conference attendance
Opportunity to shape decentralized AI and RL at Prime Intellect

Fulltime

New

Air Conditioning Engineer

The role involves the planned and reactive maintenance of air conditioning and H...

Location

United Kingdom , Irvine

Salary:

32000.00 - 42000.00 GBP / Year

Randstad

Expiration Date

March 24, 2026

Requirements

Proven experience working with VRV, VRF, and split air conditioning systems
Strong background in PPMs, remedials, and fault finding
Experience working in a static site environment (ideally within a regulated setting)
Full UK driving licence required
Relevant HVAC/AC qualifications required
F-Gas Category 1 certification
NVQ Level 2 or Level 3 in Air Conditioning & Refrigeration (or equivalent)
Proven experience working as an Air Conditioning Engineer
Strong PPM and fault-finding experience across commercial systems
Full UK driving licence

Job Responsibility

Carry out Planned Preventative Maintenance (PPMs) on air conditioning systems
Diagnose faults and undertake effective fault finding
Complete remedial and reactive maintenance works
Maintain and service VRV and VRF systems, including split systems
Ensure all works are completed safely and documented accurately
Liaise with site management and clients to ensure minimal disruption to operations

Fulltime

!

New

Qa engineer

Location

India , Ahmedabad

Salary:

Not provided

Randstad

Expiration Date

April 04, 2026

Requirements

Bachelor’s degree in Engineering, Quality, or related technical field
3–5 years of experience in Quality Assurance / Quality Control in a product manufacturing or health-tech company
Hands-on experience with QMS implementation, ISO standards, CAPA, and audits
Strong understanding of quality tools such as FMEA, Root Cause Analysis, and 5 Whys
Excellent analytical, documentation, and communication skills
Attention to detail with a problem-solving mindset

Job Responsibility

Drive Consistent Excellence in Final Product Quality
Conduct in-process and final product inspections to ensure product conformance
Manage product testing, calibration, and validation processes
Investigate product deviations and implement corrective and preventive actions (CAPA)
Quality Systems & Process Control
Establish, implement, and maintain Quality Management Systems (QMS) in compliance with ISO,CE, FDA and other regulatory standards
Define and monitor quality control checkpoints across the production process
Drive continuous improvement in quality and process reliability
Supplier Quality Management
Evaluate and audit suppliers to ensure compliance with company quality standards

Member of Technical Staff (RL systems)

Microsoft Corporation

Location:
Switzerland , Zürich

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
March 22, 2026

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