Catalyst Labs
AI / Machine Learning Junior / Senior / Lead
Catalyst Labs, Chicago, Illinois, United States, 60290
Overview
AI / Machine Learning Junior / Senior / Lead
role at
Catalyst Labs About Us: Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We are deeply embedded in our clients’ recruitment operations and collaborate directly with Founders, CTOs, and Heads of AI at Tier 1 VC-backed startups, scale-ups, and enterprise tech companies driving AI workflows from model optimization to productized AI solutions. This is a general expression of interest; 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 : 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 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 frameworks such as PyTorch, TensorFlow, JAX, LangChain, Ray, etc. Experience mentoring engineers, leading technical initiatives, or driving cross-functional collaboration is valued. 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. We prioritize 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 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. Role details
Seniority level: Not Applicable Employment type: Full-time Job function: Engineering and Information Technology Industries: Business Consulting and Services Referrals increase your chances of interviewing at Catalyst Labs.
#J-18808-Ljbffr
AI / Machine Learning Junior / Senior / Lead
role at
Catalyst Labs About Us: Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We are deeply embedded in our clients’ recruitment operations and collaborate directly with Founders, CTOs, and Heads of AI at Tier 1 VC-backed startups, scale-ups, and enterprise tech companies driving AI workflows from model optimization to productized AI solutions. This is a general expression of interest; 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 : 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 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 frameworks such as PyTorch, TensorFlow, JAX, LangChain, Ray, etc. Experience mentoring engineers, leading technical initiatives, or driving cross-functional collaboration is valued. 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. We prioritize 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 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. Role details
Seniority level: Not Applicable Employment type: Full-time Job function: Engineering and Information Technology Industries: Business Consulting and Services Referrals increase your chances of interviewing at Catalyst Labs.
#J-18808-Ljbffr