
Lead Machine Learning Engineer
ZOEPosted 4/4/2025

Lead Machine Learning Engineer
ZOE
Job Summary
ZOE is a science and nutrition company leading a movement to transform health by providing scientifically proven solutions through its randomized controlled trial. The company is seeking a Lead Machine Learning Engineer to join its Snap team, developing AI-driven solutions that make food logging effortless using a camera. The role involves building and scaling the photo logging AI product, working with cross-functional teams, and solving complex technical problems. ZOE offers competitive compensation, benefits, and perks, including flexible remote work options and equity in a fast-growing company.
Job Description
What You’ll Do…
- Build and scale our photo logging AI product, a core feature for ZOE’s members.
- Work alongside data scientists, software engineers, and domain experts to collect requirements and establish project goals.
- Evaluate model performance, conduct A/B testing, and iteratively improve model accuracy and efficiency.
- Work with our platform team and collaborate on hosting, availability and scale challenges
- Stay current with the most recent developments in machine learning research, methodologies, and technologies, integrating them seamlessly into our workflow.
- Solve complex backend problems while collaborating closely with product managers and UX designers to provide a best-in-class customer experience.
- Write code across our micro-services and data pipelines.
- Ship in production, preferably daily or more!
What makes you a great fit...
- 7+ years of experience in backend software engineering
- 5 years of experience working on a deployed ML or AI product.
- A strong background in ML, Computer Science, Mathematics, or Statistics—either through a degree or equivalent experience.
- Experience working on a large scale backend system, dealing with scaling challenges, high availability, or supporting a large numbers of users
- Passionate about LLMs,prompting techniques, and evaluation strategies.
- Experience in programming languages such as Python or Java.
- Understanding of cloud platforms (Google Cloud, AWS, Vertex AI, Sagemaker).
Bonus points!
- Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
- Experience with data analysis or data science