Member of Technical Staff, Post-Training

Jaide Health; San Francisco (CA); Hybrid; USD 120,000 - 160,000; Full time

Benefits offered by this job

Open and inclusive culture

Weekly lunch stipend

Full health and dental benefits

100% Parental Leave top-up

6 weeks of vacation

Job summary

Jaide Health is seeking a Member of Technical Staff to advance model post-training and ship high-performance models to production. Located in San Francisco, this role involves designing scalable software and collaborating with research teams. Ideal candidates should have solid software engineering skills, proficiency in Python, and experience with distributed training infrastructures. Along with these responsibilities, expect a hybrid work culture and an inclusive environment that values diversity.

Qualifications

• Extensive software engineering experience in high-performance software.
• Experience with large-scale distributed training strategies.
• Ability to contribute to both research and engineering tasks.

Responsibilities

• Design and write scalable software for training models.
• Post-train models to achieve state of the art performance.
• Coordinate with specialist teams to optimize models.

Skills

Extremely strong software engineering skills

Proficiency in Python and ML frameworks (JAX, Pytorch)

Experience with distributed training infrastructures

Hands-on experience on training large models at scale

Experience with performance optimization in training

Tools

Kubernetes

Slurm

Ray

Job description

Location

London, Paris, Toronto, New York, Montreal, San Francisco

Employment Type

Full time

Location Type

Hybrid

Department

Modeling

Who are we?

Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.

We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.

Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.

Join us on our mission and shape the future!

Why this role?

Advance the state of the art for model post training, ship state of the art models to production, and bridge the gap between research and production. We have one of the highest ratio of compute to engineers in the world. We do not delineate strongly between engineering and research. Everyone will contribute to writing production code and supporting our research effort depending on individual interest and organisational needs. We have all the compute, data, and talent available for you to do your best work.

Please Note: We have offices in London, Paris, Toronto, San Francisco and New York but also embrace being remote-friendly!

As a Member of Technical Staff, you will:

• Design and write high-performant and scalable software for training models.
• Consistently post-train the models to reach SOTA level performance.
• Coordinate with other specialist teams (Agentic, Code…) to produce models that have strong all encompassing performance.
• Craft and implement techniques to improve the performance and results of our training cycles both on the SFT and the RL regime.
• Research, implement, and experiment with ideas on our supercompute and data infrastructure.
• Learn from and work with the best researchers in the field.

You may be a good fit if you have:

• Extremely strong software engineering skills.
• Proficiency in Python and related ML frameworks such as JAX, Pytorch and XLA/MLIR.
• Experience with distributed training infrastructures (Kubernetes, Slurm) and associated frameworks (Ray).
• Experience using large-scale distributed training strategies.
• Hands on experience on training large model at scale.
• Hands on experience with the post training phase of model training, with a strong emphasis on performance optimisation.
• Bonus: paper at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP).

This is neither an exhaustive nor necessary set of attributes. Even if none of these apply to you, but you believe you will contribute to Cohere, please reach out. We have a wide variety of backgrounds at Cohere.

If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply!

We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit the Accommodations Request Form, and we will work together to meet your needs.

Full-Time Employees at Cohere enjoy these Perks:

• 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!)