Catalyst Labs
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AI / Machine Learning Junior / Senior / Lead
role at
Catalyst Labs .
1 day ago Be among the first 25 applicants.
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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, which 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.
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
Business Consulting and Services
Referrals increase your chances of interviewing at Catalyst Labs by 2x.
Sign in to set job alerts for “Machine Learning Specialist” roles.
#J-18808-Ljbffr
AI / Machine Learning Junior / Senior / Lead
role at
Catalyst Labs .
1 day ago Be among the first 25 applicants.
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, which 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.
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
Business Consulting and Services
Referrals increase your chances of interviewing at Catalyst Labs by 2x.
Sign in to set job alerts for “Machine Learning Specialist” roles.
#J-18808-Ljbffr