Catalyst Labs
AI / Machine Learning Junior / Senior / Lead
Catalyst Labs, Washington, District of Columbia, us, 20022
AI / Machine Learning Junior / Senior / Lead
Catalyst Labs is a leading talent agency specialized in Applied AI, Machine Learning, and Data Science. We are embedded deeply in our clients’ recruitment operations.
About Us We collaborate directly with Founders, CTOs, and Heads of AI at Tier 1 VC‑backed startups, scale‑ups, and enterprise tech. We facilitate conversations that align with your technical expertise, creative problem‑solving mindset, and long‑term growth trajectory.
General Statement This is a general expression of interest; by submitting your CV, you will be considered for upcoming roles with our clients.
Locations Most clients are in California, New York, and other states and Europe.
Who Can Apply We seek professionals with demonstrated experience in AI, ML, and Data Science roles within reputed tech companies or top 100 universities. Visa sponsorship available for existing H1B transfers. Student visas considered for 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.
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.
Track record of publications, open‑source contributions, patents, or shipped products demonstrating real‑world impact will stand out.
Why Work With Us
Strong relationships with Founders and CTOs.
Recruiters understand the difference between a fine‑tuned model and a foundation model.
We prioritize your confidentiality and privacy throughout the recruitment process.
No spamming.
Support refining your resume or portfolio specifically for shortlisted roles.
Direct communication channels; bypass gatekeepers and speak directly with hiring managers.
Insight on compensation structures across geographies, including equity‑heavy offers, research‑focused roles, or hybrid IC/lead tracks.
Referrals increase your chances of interviewing at Catalyst Labs by 2x.
#J-18808-Ljbffr
About Us We collaborate directly with Founders, CTOs, and Heads of AI at Tier 1 VC‑backed startups, scale‑ups, and enterprise tech. We facilitate conversations that align with your technical expertise, creative problem‑solving mindset, and long‑term growth trajectory.
General Statement This is a general expression of interest; by submitting your CV, you will be considered for upcoming roles with our clients.
Locations Most clients are in California, New York, and other states and Europe.
Who Can Apply We seek professionals with demonstrated experience in AI, ML, and Data Science roles within reputed tech companies or top 100 universities. Visa sponsorship available for existing H1B transfers. Student visas considered for 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.
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.
Track record of publications, open‑source contributions, patents, or shipped products demonstrating real‑world impact will stand out.
Why Work With Us
Strong relationships with Founders and CTOs.
Recruiters understand the difference between a fine‑tuned model and a foundation model.
We prioritize your confidentiality and privacy throughout the recruitment process.
No spamming.
Support refining your resume or portfolio specifically for shortlisted roles.
Direct communication channels; bypass gatekeepers and speak directly with hiring managers.
Insight on compensation structures across geographies, including equity‑heavy offers, research‑focused roles, or hybrid IC/lead tracks.
Referrals increase your chances of interviewing at Catalyst Labs by 2x.
#J-18808-Ljbffr