Full-Time

Staff Machine Learning Engineer

Gretel

Gretel

51-200 employees

Synthetic data API software

AI & Machine Learning

$200,000 - $230,000

Senior, Expert

San Diego, CA, USA

Required Skills
Kubernetes
Python
Tensorflow
Data Structures & Algorithms
Pytorch
Docker
AWS
Google Cloud Platform
Requirements
  • 7+ years of software engineering experience
  • Significant experience building on cloud provider platforms and working with ML/AI frameworks and tooling
  • Strong programming skills in Python, with 5+ years for machine learning (ML) modeling and applied research
  • Hands-on experience with building Deep Learning applications
  • Proficiency in using ML toolkits such as PyTorch, TensorFlow, etc.
  • Familiarity with platforms such as AWS, GCP, Kubernetes, Docker, etc.
  • Demonstrated experience in working on complex software projects and a track record of delivering technical excellence
Responsibilities
  • Work within the backend engineering team, focusing on parts of the product that utilize machine learning tooling or enable customers to use synthetic data within their own machine learning processes
  • Contribute to core product areas such as: synthetic modeling algorithms, synthetic data evaluation framework, and core platform components where ML is used to acquire and process customer data with synthetic data models
  • Contribute to Gretel's LLM ecosystem by working with LLM agents and contributing to Tabular LLM and GPT-x model
  • Be a core contributor of code, tests, and application/data/systems architecture on a small team of engineers working across the stack
  • Own both customer and developer happiness for the products in production, working with your own and other teams to build operational transparency and resiliency into every layer of deployed applications
  • Coordinate with engineering and product leads to define, prioritize, and task projects that help us meet business objectives with our partners

Gretel is on a mission to seek out elegant, composable abstractions that enable scalable, flexible data sharing.‍ Gretel's APIs enable developers to fine-tune custom AI models and generate synthetic data that's as good or better than what they already have.

Company Stage

Series B

Total Funding

$66.2M

Headquarters

Palo Alto, California

Founded

2020

Growth & Insights
Headcount

6 month growth

13%

1 year growth

27%

2 year growth

48%

Benefits

Healthcare

Phone & internet

WFH

Flexible PTO

Home office stipend

401k

INACTIVE