Member of Technical Staff, Training Performance Engineer

Jaide Health

Paris

Sur place

EUR 60 000 - 80 000

Plein temps

14 jours+

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Avantages offerts par ce poste

Inclusive workplace culture
Weekly lunch stipend
Full health and dental benefits
100% parental leave top-up
Personal enrichment benefits
Remote-flexible work options
6 weeks of vacation

Résumé du poste

Jaide Health is seeking a Performance Engineer to optimize the performance of advanced language models within a vibrant team dedicated to AI innovation. You'll focus on enhancing training throughput and eliminating bottlenecks through cutting-edge practices.

Your responsibilities include designing scalable software, writing low-level kernels, and researching data infrastructure. The ideal candidate should have strong software engineering skills and experience with Python. Enjoy a hybrid work environment with generous perks including six weeks of vacation!

Qualifications

  • Extremely strong software engineering skills.
  • Proficiency in Python and ML frameworks such as JAX and PyTorch.
  • Experience writing kernels for GPUs using CUDA and Triton.

Responsabilités

  • Optimize performance of advanced language models.
  • Develop training and profiling tools for model performance.
  • Research and experiment on supercompute and data infrastructure.

Connaissances

Software engineering
Python
CUDA
Machine Learning frameworks (JAX, PyTorch)
Distributed training strategies
Transformers

Description du poste

Location

London, New York, Toronto, Montreal, Paris

Employment Type

Full time

Location Type

Hybrid

Department

Modeling 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?

As a Performance Engineer in the Pre-Training team you will be responsible for optimizing the performance of our advanced language models and systems. Their primary focus is on improving key model training metrics, such as training throughput, ensuring high accelerator utilization.

The team combines expertise in software engineering, machine learning, and low-level kernel design and development to design robust systems and enhance model performance. You will work on identifying and removing performance bottlenecks, develop cutting-edge training and profiling tools to help Cohere's mission of providing efficient and reliable language understanding and generation capabilities and drive innovation in the field of natural language processing.

Note: We have offices in London, Toronto, New York and San Francisco, but we’re also remote-friendly! This team operates primarily between ET to CET time zones, so we’re seeking candidates in locations that align with these hours for effective collaboration.

As a Member of Technical Staff, you will:
  • Design and write high-performant and scalable software for training.
  • Understand architectural modifications and design choices and their effects on training throughput and quality.
  • Write low-level CUDA, triton kernels to squeeze every last bit of performance from our accelerators.
  • 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 writing kernels for GPUs using CUDA, triton, etc
  • Experience using large-scale distributed training strategies.
  • Familiarity with autoregressive sequence models, such as Transformers.

Bonus: paper at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP).

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 an 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!)

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