AI / Machine Learning Junior / Senior / Lead
Catalyst Labs, LLC
- United States
- United States
Über
AI / Machine Learning Junior / Senior / Lead
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Catalyst Labs . 1 day ago Be among the first 25 applicants Join to apply for the
AI / Machine Learning Junior / Senior / Lead
role at
Catalyst Labs Get AI-powered advice on this job and more exclusive features. About Us
Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We stand out as an agency that's deeply embedded in our clients' recruitment operations. We collaborate directly with Founders, CTOs, and Heads of AI at Tier 1 VC backed startups, scale ups and enterprise tech like Palantir, who are driving the next wave of applied intelligence from model optimization to productized AI workflows. We take pride in facilitating conversations that align with your technical expertise, creative problem-solving mindset, and long-term growth trajectory in the evolving world of intelligent systems. This is a general / expression of interest, therefore by submitting your CV, you will be considered for upcoming roles with our clients. Locations
Most of our client base is concentrated in California, New York and a few scattered across other States and Europe. Who Can Apply
We are looking for professionals with demonstrated experience in AI, ML, and Data Science roles within reputed tech companies and/or from top 100 universities in the world. Visa sponsorship is available for existing H1B transfers. Student visas will only be considered on the academic pedigree - top 50 global universities. Experience
From early-career engineers to senior ICs, leads and principals. General Requirements by Role Proven experience building or deploying machine learning systems in production environments (not just academic or lab prototypes). Background in a top technology company, Tier 1 VC backed startup, advanced research institute, or high-caliber engineering team. 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. 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.
Why Work With Us?
Take advantage of the strong relationships we have built with Founders and CTOs. Work with recruiters who understand the difference between a fine-tuned model and a foundation model and won't ask if you know Python. We prioritize your confidentiality and privacy throughout the recruitment process. No Spamming. Support refining your resume or portfolio specifically for the roles we shortlist you for. Direct communication channels. Bypass gatekeepers and speak directly with the actual hiring manager and decision-makers. Insight on compensation structures across geographies, including equity-heavy offers, research-focused roles, or hybrid IC/lead tracks.
Seniority level
Not Applicable Employment type
Full-time Job function
Engineering and Information Technology Industries
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Sprachkenntnisse
- English
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