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MTS, Machine Learning Engineer

AI Agent for Data Science leveraging generative AI and optimization to automate ML model building tasks
$180,000 - $280,000
Machine Learning
Staff Software Engineer
Hybrid
11 - 50 Employees
5+ years of experience
AI · Enterprise SaaS
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Description For MTS, Machine Learning Engineer

Delphina is revolutionizing the data science landscape by creating an AI Agent for Data Science. The company aims to solve the pain points of modern Data Scientists who spend excessive time on manual data wrangling and model building. Backed by prominent AI investors including Fei-Fei Li, Radical VC, and Costanoa VC, Delphina leverages generative AI, large-scale optimization, and specialized infrastructure to automate ML workflows.

As an MTS Machine Learning Engineer, you'll be a key member of the technical staff, working from their San Mateo office with a hybrid schedule (2 days per week in office). You'll have the opportunity to shape the product direction and make critical technical decisions while working on cutting-edge ML automation solutions.

The role involves conducting research on ML workflow automation, transforming academic research into practical solutions, and working directly with customers to ensure product success. You'll need expertise in feature engineering, tree-based models, deep learning, timeseries modeling, and AutoML. The position offers significant autonomy and the chance to work with a cross-functional team building innovative solutions.

The company offers competitive benefits including equity, comprehensive health coverage, 401k, unlimited PTO, and relocation assistance. This is an excellent opportunity for an experienced ML engineer looking to make a significant impact in the future of automated data science and machine learning.

Last updated 5 months ago

Responsibilities For MTS, Machine Learning Engineer

  • Conduct research on ML workflow automation
  • Transform academic research into production-ready solutions
  • Partner closely with customers
  • Build and implement ML solutions
  • Work independently on product development
  • Shape product direction and drive outcomes

Requirements For MTS, Machine Learning Engineer

  • Experience in feature engineering and feature search
  • Knowledge of tree-based models and deep learning
  • Experience with timeseries modeling
  • Production ML experience in fintech and manufacturing
  • Experience with LLM Agents
  • Experience with AutoML
  • Strong software engineering skills
  • Demonstrated track record of success
  • Growth mindset

Benefits For MTS, Machine Learning Engineer

Equity
Medical Insurance
Dental Insurance
Vision Insurance
401k
Relocation Benefits
  • Equity in the company
  • Medical, dental, and vision insurance
  • 401k
  • Unlimited PTO
  • Top of the line Apple equipment
  • Free lunch in the office twice a week
  • Relocation assistance

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