Catalyst Labs · 1 month ago
AI / Machine Learning Junior / Senior / Lead
Fort Worth, TX
Full-time
Onsite
Entry, Mid, Senior Level, Lead/StaffCatalyst Labs is a leading talent agency specializing in Applied AI, Machine Learning, and Data Science. They are seeking professionals with experience in AI, ML, and Data Science roles to support their clients in driving the next wave of applied intelligence.
Management Consulting
Responsibilities
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
Qualification
Required
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
Benefits
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 wont 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.
Company
Catalyst Labs
Welcome to Catalyst Labs – Powering Catalytic Growth At Catalyst Labs, catalytic growth isn't just a concept, it's our driving force.
11-50 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase