Data Scientist/ML Engineer - Impax Recruitment : Job Details

Data Scientist/ML Engineer

Impax Recruitment

Job Location : Palo Alto,CA, USA

Posted on : 2025-05-12T01:22:07Z

Job Description :

This range is provided by Impax Recruitment. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$200,000.00/yr - $250,000.00/yr

Founding Member @ Impax | Gem hunting AI Specialists

Comp: $200K–$250K + equity (case-by-case)

Are you ready to be a driving force behind cutting-edge AI products?

We're looking for a Data Scientist / ML Engineer with 5+ years of experience to help shape the future of Agentic AI systems and build production-ready ML models that power growth, personalization, and intelligent automation.

You'll work closely with a lean, high-impact global team (currently US + India) and be central to evolving the data science roadmap and agentic capabilities that execute complex, cross-platform workflows autonomously.

What You'll Be Doing
  • Design, implement, and fine-tune ML algorithms that drive personalization and growth.
  • Develop AI-driven autonomous agents capable of executing complex marketing workflows.
  • Lead model evaluation initiatives and drive continuous improvements.
  • Analyze large-scale business data to extract actionable insights.
  • Present findings to product, growth, and customer teams.
  • Stay at the forefront of AI/ML research and bring fresh ideas to the table.
What We're Looking For
  • 5+ years of experience in training, deploying, and improving ML models.
  • Experience in recommender systems, ranking, ads, or growth.
  • Master's or PhD in CS, ML, AI, or related fields (Top 20 universities preferred).
  • Deep proficiency in Python, TensorFlow/PyTorch/JAX, and the broader data science ecosystem.
  • Bonus: experience with transformer models, RAG, LLMs, or building AI agents.
  • Cloud experience with large-scale data workflows (GCP, AWS, etc).
  • Strong communicator and collaborator—comfortable working with global teams and flexible with time zones.
Not the Right Fit If You...
  • Struggle with ambiguity or prefer rigid structure.
  • Aren't open to occasional India collaboration hours.
Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Information Technology

Industries

Technology, Information and Media

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