Senior Engineer - Data Recommendations
Mill · San Bruno, California
Posted about 3 months ago · $210k to $240k
or apply directly on Mill's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 80 days Mill's roles stay open a median of 81 days
- Reposted
- No
- Salary listed
- Yes 80% of Mill's roles list one
- Ghost-job risk at Mill
- high 24 stale, 0 reposted of 25 open
- Hiring momentum
- 29 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-23
Measured from postings appearing on and disappearing from Mill's own greenhouse board since 2026-08-03. Full hiring picture for Mill.
About this role
As a Recommendations Engineer at Mill, you will be responsible for developing and managing the recommendation system that transforms food waste data into actionable insights for customers. Your role includes training and iterating on models, designing features from various data sources, and ensuring the effectiveness of recommendations through metrics and CI/CD practices. You will collaborate with product and engineering teams to enhance the accuracy and utility of the recommendations provided.
- benefits
- 1/5
- freshness
- 1/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 5/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Mill as an employer.
What you need
- Designed, built, or operated a recommendation system in production that combines multiple data sources into a single customer-facing output
- Experience training, evaluating, and iterating on models for anomaly detection, pattern recognition, or a similar applied ML problem in production
- Experience building recommendation or personalization logic using LLMs in a live product
- Comfortable working with production data (Python, SQL)
- Brought CI/CD and experimentation discipline to model or product-logic changes
- 5 years of experience in applied ML, recommendation systems, or a closely related field
Nice to have
- Experience with anomaly/fraud detection, forecasting, or similar pattern-detection ML problems
- Exposure to computer vision or IoT sensor data as a model input
- Familiarity with feature stores or ML feature pipelines
- Experience with Hex, Mixpanel, Tableau, or similar BI/analytics tools
Worth weighing
- No specific benefits listed in the posting
- Salary range provided is quite broad, indicating potential variability based on various factors
- Role involves significant responsibility with end-to-end ownership of the recommendation system, which may imply high expectations and pressure
Summarised from Mill's posting. Read the full original.
Listed by Mill on their greenhouse job board, last confirmed open on 2026-10-23. PitchMeAI is not the employer.
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