REGISTRIEREN

Jobbörse

Finde Jobs in deiner Nähe – ob vor Ort, hybrid oder remote.
  • Ähnliche Jobs zu: AI / Machine Learning Junior / Senior / Lead
XX
AI / Machine Learning Junior / Senior / LeadCatalyst Labs, LLC • United States
Jetzt Bewerben
XX

AI / Machine Learning Junior / Senior / Lead

Catalyst Labs, LLC
  • US
    United States
  • US
    United States
Jetzt Bewerben

Über

About the job AI / Machine Learning Junior / Senior / Lead 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 Palatir, who 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.
Locations:
Most of our client base is concentrated in California, New York and a few scattered across other States and Europe.
Who Can Apply:
We are looking for 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 only 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 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 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.
#J-18808-Ljbffr
  • United States

Sprachkenntnisse

  • English
Hinweis für Nutzer

Dieses Stellenangebot stammt von einer Partnerplattform von TieTalent. Klick auf „Jetzt Bewerben”, um deine Bewerbung direkt auf deren Website einzureichen.