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Machine Learning Engineer

Building AI infrastructure focusing on data quality for computer vision and deep learning applications.
Machine Learning
Senior Software Engineer
In-Person
51 - 100 Employees
5+ years of experience
AI · Enterprise SaaS

Description For Machine Learning Engineer

Encord is revolutionizing AI infrastructure by focusing on the crucial aspect of data quality in AI development. As a rapidly growing team of 75+ professionals backed by top investors including CRV and Y Combinator, we're addressing the fundamental challenge that 95% of AI teams face: preparing quality training data efficiently and cost-effectively.

The Machine Learning Engineer role offers an opportunity to work at the cutting edge of computer vision and deep learning. You'll be part of a dynamic environment working with a broad tech stack including ReactJS, Python, REST & GraphQL, OpenCV, PyTorch, GCP, AWS & CUDA, and Kubernetes. The position involves experimenting with state-of-the-art ML technologies, solving complex algorithmic problems, and implementing research solutions into the product.

As an experienced ML Engineer, you'll contribute to a team that's solving unsolved problems in computer vision and deep learning across various industries including healthcare, surveillance, retail, and agriculture. The role offers significant growth potential, as evidenced by our rapid expansion from 25 to 60 people in just a year, with plans for continued growth over the next 24 months.

Working at Encord means joining a talented team of ex-computer scientists, physicists, and quants who understand the challenges of AI development firsthand. You'll be part of a company that's consistently rated as the best tool in the market by customers and is backed by industry leaders like Luc Vincent, former VP of AI at Meta, and other top Bay Area AI leaders.

Last updated a month ago

Responsibilities For Machine Learning Engineer

  • Experiment with and adapt latest ML technologies to fit into existing tech stack
  • Solve idiosyncratic statistical, geometric, and engineering problems
  • Work closely with a full stack tech team to assist implementation of research solutions into the product
  • Contribute to hiring additional talent to our rapidly growing team

Requirements For Machine Learning Engineer

Python
React
Kubernetes
  • Proven track record of relevant publications
  • Previous experience managing applied research teams
  • Passion for solving ML problems
  • Strong experience in Python and machine learning libraries (OpenCV, PyTorch, TensorFlow, Fast.ai, and Keras)
  • Strong experience in mathematical programming, algorithmic problem solving, and applied machine learning

Benefits For Machine Learning Engineer

  • Competitive salary, commission and equity
  • Strong in-person culture with 3+ days in office
  • Growth opportunities in a fast-growing company
  • 25 days annual leave + public holidays

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