Catalyst Labs is looking for experienced AI, ML, and Data Science professionals to fill upcoming roles with their clients, who are Tier 1 VC backed startups, scale-ups, and enterprises like Palantir, focusing on applied intelligence from model optimization to productized AI workflows.
Requirements
- Proven experience building or deploying machine learning systems in production environments (not just academic or lab prototypes).
- Solid understanding of ML fundamentals, including model development, optimization, and evaluation.
- Hands-on experience with at least one major area of specialization: LLMs & Generative AI, Computer Vision, NLP / NLU, Reinforcement Learning, Recommendation Systems, Time Series & Forecasting, Applied Deep Learning
- Familiarity with modern ML engineering workflows: MLOps pipelines, Model monitoring & observability, Deployment to cloud or edge environments, Vector databases & embeddings, Retrieval-augmented pipelines
- Experience with distributed systems, data infrastructure, or high-performance computing is a strong advantage.
- Professionals with experience in AI Safety, alignment, privacy-preserving ML, or security-focused ML are also welcome.
- Strong coding proficiency (Python preferred) and familiarity with relevant frameworks such as PyTorch, TensorFlow, JAX, LangChain, Ray, etc.
Responsibilities
- Proven experience building or deploying machine learning systems in production environments (not just academic or lab prototypes).
- Solid understanding of ML fundamentals, including model development, optimization, and evaluation.
- Hands-on experience with at least one major area of specialization: LLMs & Generative AI, Computer Vision, NLP / NLU, Reinforcement Learning, Recommendation Systems, Time Series & Forecasting, Applied Deep Learning
- Familiarity with modern ML engineering workflows: MLOps pipelines, Model monitoring & observability, Deployment to cloud or edge environments, Vector databases & embeddings, Retrieval-augmented pipelines
- Experience with distributed systems, data infrastructure, or high-performance computing is a strong advantage.
- Professionals with experience in AI Safety, alignment, privacy-preserving ML, or security-focused ML are also welcome.
- Strong coding proficiency (Python preferred) and familiarity with relevant frameworks such as PyTorch, TensorFlow, JAX, LangChain, Ray, etc.
Other
- Background in a top technology company, Tier 1 VC backed startup, advanced research institute, or high-caliber engineering team.
- Experience mentoring engineers, leading technical initiatives, or driving cross-functional collaboration is valued.
- Candidates with a track record of publications, open-source contributions, patents, or shipped products demonstrating real-world impact will stand out.
- Visa sponsorship is available for existing H1b transfers. Student visas will only be considered on the academic pedigree - top 50 global universities.
- Most of our client base is concentrated in California, New York and a few scattered across other States and Europe.
