Member of Technical Staff, Post-Training Job at Cohere

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

New

Member of Technical Staff - Post Training, Applied

This is a rare chance to sit at the intersection of frontier foundation models a...

Location

United States , San Francisco; Boston

Salary:

Not provided

Liquid AI

Expiration Date

Until further notice

Requirements

Hands-on experience with data generation and evaluation for LLM post-training
Experience training or fine-tuning models using SFT, preference alignment, and/or RL
Strong intuition for data quality and evaluation design
Familiarity with alignment or RL techniques beyond basic supervised fine-tuning

Job Responsibility

Act as the technical owner for enterprise customer post-training engagements
Translate customer requirements into concrete post-training specifications and workflows
Design and execute data generation, filtering, and quality assessment processes
Run supervised fine-tuning, preference alignment, and reinforcement learning workflows
Design task-specific evaluations, interpret results, and feed learnings back into core post-training pipelines

What we offer

Competitive base salary with equity in a unicorn-stage company
We pay 100% of medical, dental, and vision premiums for employees and dependents
401(k) matching up to 4% of base pay
Unlimited PTO plus company-wide Refill Days throughout the year

Fulltime

Member of Technical Staff, AI Post-Training

At Microsoft AI, we are on a mission to develop the most cutting-edge algorithms...

Location

Switzerland , Zürich

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science, or related technical discipline AND technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
Expertise in post-training of AI models
Demonstrated experience in large-scale AI
Passionate about conversational AI and its deployment
Demonstrated written and verbal communication skills with the ability to work closely with cross-functional teams, including product managers, designers, and other engineers
Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in AI
Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team
Proven research track record in a domain related field supported by exceptional papers

Job Responsibility

Develop data collection, evaluation, and finetuning methods for models
Design hypotheses and experiment plans for rapidly iterating on model performance
Prototype new model features and capabilities and collaborate with engineers and researchers across Microsoft AI to make them a reality
Collaborate with pretraining and product platform teams to establish good vertical integration and ship models that Copilot users love
Embody our culture and values

Fulltime

Member of Technical Staff, AI Post-Training

At Microsoft AI, we are on a mission to develop the most cutting-edge algorithms...

Location

United Kingdom , London

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science, or related technical discipline AND technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
Expertise in post-training of AI models
Demonstrated experience in large-scale AI
Passionate about conversational AI and its deployment
Demonstrated written and verbal communication skills with the ability to work closely with cross-functional teams, including product managers, designers, and other engineers
Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in AI
Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team
Proven research track record in a domain related field supported by exceptional papers

Job Responsibility

Develop data collection, evaluation, and finetuning methods for models
Design hypotheses and experiment plans for rapidly iterating on model performance
Prototype new model features and capabilities and collaborate with engineers and researchers across Microsoft AI to make them a reality
Collaborate with pretraining and product platform teams to establish good vertical integration and ship models that Copilot users love
Embody our culture and values

Fulltime

Member of Technical Staff, AI Safety Post-Training

As a Member of Technical Staff, AI Safety Post-Training, you will work to develo...

Location

United States , Mountain View

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

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
Experience prompting and working with large language models
Experience writing production-quality Python code
Demonstrated interest in Responsible AI

Job Responsibility

Leverage expertise in AI safety to uncover potential risks and develop novel mitigation strategies, including alignment techniques, constitutional AI approaches, RLHF, and robustness improvements for large language models
Create and implement comprehensive evaluation frameworks and red-teaming methodologies to assess model safety across diverse scenarios, edge cases, and potential failure modes
Build automated safety testing systems, generalize safety solutions into repeatable frameworks, and write efficient code for safety model pipelines and intervention systems
Maintain a user-oriented perspective by understanding safety needs from user perspectives, validating safety approaches through user research, and serving as a trusted advisor on AI safety matters
Track advances in AI safety research, identify relevant state-of-the-art techniques, and adapt safety algorithms to drive innovation in production systems serving millions of users
Embody our culture and values

Fulltime

New

Member of Technical Staff - Data Scientist

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

Location

United States , Mountain View

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.
Master'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 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.

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

New

Member of Technical Staff - Post Training, Reinforcement Learning

At Liquid, we’re not just building AI models—we’re redefining the architecture o...

Location

United States , San Francisco; Boston

Salary:

Not provided

Liquid AI

Expiration Date

Until further notice

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

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

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

New

Member of Technical Staff, Integration/RL Team (Research Engineer)

The integration team is responsible for developing and scaling machine learning ...

Location

Salary:

Not provided

Cohere

Expiration Date

Until further notice

Requirements

Extremely strong software engineering skills
Value test-driven development methods, clean code, and strive to reduce technical debts at all levels
Proficiency in Python and related ML frameworks such as JAX, Pytorch and/or XLA/MLIR
Experience using and debugging large-scale distributed training strategies (memory/speed profiling)
[Bonus] Experience with distributed training infrastructures (Kubernetes) and associated frameworks (Ray)
[Bonus] Hands-on experience with the post-training phase of model training, with a strong emphasis on scalability and performance
[Bonus] Experience in ML, LLM and RL academic research

Job Responsibility

Design and write high-performing and scalable software for training models
Develop new tools to support and accelerate research and LLM training
Coordinate with other engineering teams (Infrastructure, Efficiency, Serving) and the scientific teams (Agent, Multimodal, Multilingual, etc.) to create a strong and integrated post-training ecosystem
Craft and implement techniques to improve performance and speed up our training cycles, both on SFT, offline preference, and the RL regime
Research, implement, and experiment with ideas on our cluster and data infrastructure
Collaborate, Collaborate, and Collaborate with other scientists, engineers, and teams!

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, Post-Training

Cohere

Location:

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 20, 2026

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