Job Description
About the AI / Machine Learning Engineer Role
Join Catalyst Labs
Catalyst Labs is a top-tier talent agency specializing in Applied AI, Machine Learning, and Data Science. We pride ourselves on our deep integration within our clients' recruitment operations, working directly with Founders, CTOs, and Heads of AI at leading startups and enterprises such as Palantir. We are committed to connecting you with opportunities that align with your technical prowess, innovative problem-solving abilities, and career aspirations in the fast-evolving field of intelligent systems.
Note: This is a general expression of interest, and by submitting your CV, you will be considered for upcoming roles with our clients.
Key Locations: While many opportunities are located in California and New York, we also have roles in other states and Europe.
Who Should Apply:
We encourage applications from professionals with extensive experience in AI, ML, and Data Science within reputable tech firms or from the top 100 global universities. We offer visa sponsorship for H1B transfers, while student visas are considered based on academic qualifications from top 50 global universities.
Experience Levels:
We welcome candidates ranging from early-career engineers to senior individual contributors, leads, and principal engineers.
General Qualifications:
• Proven ability to develop or implement machine learning systems in real-world production settings.
• Experience in leading tech companies, Tier 1 VC-backed startups, prestigious research institutions, or high-performing engineering teams.
• Strong grasp of machine learning fundamentals, including model creation, optimization, and performance evaluation.
• Hands-on expertise in at least one specialization area:
• Large Language Models & Generative AI
• Computer Vision
• NLP / NLU
• Reinforcement Learning
• Recommendation Systems
• Time Series & Forecasting
• Applied Deep Learning
• Familiarity with modern machine learning engineering practices:
• MLOps workflows
• Model monitoring and observability
• Deployment strategies for cloud or edge environments
• Vector databases and embeddings
• Retrieval-augmented systems
• Experience with distributed computing, data infrastructure, or high-performance computing is highly desirable.
• We also welcome those with a focus on AI Safety, alignment, privacy-preserving ML, or security-oriented ML.
• Strong programming skills (preferably in Python) and familiarity with frameworks such as PyTorch, TensorFlow, JAX, LangChain, Ray, etc.
• Experience mentoring fellow engineers, leading technical projects, or fostering collaboration across teams is valued.
• A record of publications, open-source contributions, patents, or successfully launched products with tangible impact will set candidates apart.
Why Choose Catalyst Labs?
• Access strong networks with Founders and CTOs.
• Work with recruiters who understand the nuances of AI technology and your qualifications.
• Your privacy and confidentiality are prioritized throughout the recruitment process.
• No unsolicited outreach.
• Receive personalized support in refining your resume or portfolio specific to roles we recommend.
• Engage directly with hiring managers and decision-makers, bypassing traditional gatekeepers.
• Gain insights on compensation structures across regions, including equity opportunities, research-centric roles, and hybrid career paths.
Join Catalyst Labs
Catalyst Labs is a top-tier talent agency specializing in Applied AI, Machine Learning, and Data Science. We pride ourselves on our deep integration within our clients' recruitment operations, working directly with Founders, CTOs, and Heads of AI at leading startups and enterprises such as Palantir. We are committed to connecting you with opportunities that align with your technical prowess, innovative problem-solving abilities, and career aspirations in the fast-evolving field of intelligent systems.
Note: This is a general expression of interest, and by submitting your CV, you will be considered for upcoming roles with our clients.
Key Locations: While many opportunities are located in California and New York, we also have roles in other states and Europe.
Who Should Apply:
We encourage applications from professionals with extensive experience in AI, ML, and Data Science within reputable tech firms or from the top 100 global universities. We offer visa sponsorship for H1B transfers, while student visas are considered based on academic qualifications from top 50 global universities.
Experience Levels:
We welcome candidates ranging from early-career engineers to senior individual contributors, leads, and principal engineers.
General Qualifications:
• Proven ability to develop or implement machine learning systems in real-world production settings.
• Experience in leading tech companies, Tier 1 VC-backed startups, prestigious research institutions, or high-performing engineering teams.
• Strong grasp of machine learning fundamentals, including model creation, optimization, and performance evaluation.
• Hands-on expertise in at least one specialization area:
• Large Language Models & Generative AI
• Computer Vision
• NLP / NLU
• Reinforcement Learning
• Recommendation Systems
• Time Series & Forecasting
• Applied Deep Learning
• Familiarity with modern machine learning engineering practices:
• MLOps workflows
• Model monitoring and observability
• Deployment strategies for cloud or edge environments
• Vector databases and embeddings
• Retrieval-augmented systems
• Experience with distributed computing, data infrastructure, or high-performance computing is highly desirable.
• We also welcome those with a focus on AI Safety, alignment, privacy-preserving ML, or security-oriented ML.
• Strong programming skills (preferably in Python) and familiarity with frameworks such as PyTorch, TensorFlow, JAX, LangChain, Ray, etc.
• Experience mentoring fellow engineers, leading technical projects, or fostering collaboration across teams is valued.
• A record of publications, open-source contributions, patents, or successfully launched products with tangible impact will set candidates apart.
Why Choose Catalyst Labs?
• Access strong networks with Founders and CTOs.
• Work with recruiters who understand the nuances of AI technology and your qualifications.
• Your privacy and confidentiality are prioritized throughout the recruitment process.
• No unsolicited outreach.
• Receive personalized support in refining your resume or portfolio specific to roles we recommend.
• Engage directly with hiring managers and decision-makers, bypassing traditional gatekeepers.
• Gain insights on compensation structures across regions, including equity opportunities, research-centric roles, and hybrid career paths.
💡 Quick Summary
Seeking a career-building opportunity? The AI / Machine Learning Engineer - Junior to Lead Level position is now open for candidates interested in the Remote Jobs sector. This role in San Francisco offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Remote Jobs is a plus.
