No matching filters. Try another name.
LawZero
5+ YOECandidates need a bachelor's degree in a relevant field and 5+ years building large-scale distributed data systems. They should have owned a high-throughput pipeline under reliability and cost pressure, and have experience with Ray, Spark, Arrow or Parquet, dataset versioning and GPU-accelerated workloads.
Ray, Apache Spark, Apache Arrow, Parquet, Kubernetes, Slurm
Certified Group
Candidates need knowledge of safe chemical handling, basic analytical measurements, and contamination control. A science diploma or degree in chemistry or a related field is preferred, and relevant lab experience is an asset.
LIMS, laboratory equipment
Cohere: Cohere is the leading security-first enterprise AI company.
Candidates need extremely strong software engineering skills, proficiency in Python and ML frameworks like JAX or PyTorch, and experience debugging large-scale distributed training. Experience with Kubernetes, Ray and ML or LLM academic research is also required.
Python, PyTorch, JAX, Kubernetes, Ray
Cohere: Cohere is the leading security-first enterprise AI company.
Candidates need strong statistical skills, extremely strong software engineering skills, and hands-on experience training LLMs on distributed infrastructure. Experience with human annotation, dataset quality analysis, Python and ML frameworks, plus top-tier publications, is expected.
Python, PyTorch, TensorFlow, JAX
Cohere: Cohere is the leading security-first enterprise AI company.
Candidates need very strong software engineering skills, proficiency in Python and ML frameworks such as JAX, PyTorch or XLA/MLIR, and experience debugging large-scale distributed training. Test-driven development and clean code habits are valued. Experience with Kubernetes, Ray, post-training and ML or RL research are bonus qualifications.
Python, JAX, PyTorch, XLA/MLIR, Kubernetes, Ray
Cohere: Cohere is the leading security-first enterprise AI company.
Cohere needs candidates with extremely strong software engineering skills, statistical expertise in evaluating experiments, and experience designing data collection with human annotators. Candidates also need hands-on LLM training on distributed infrastructure, proficiency in Python and ML frameworks, and strong communication skills. One or more papers at top-tier venues are listed as a qualification.
Python, PyTorch, TensorFlow, JAX
3 companies