Afresh
The smartest solution for fresh
ML Platform Engineer
Platform EngineerPlatform EngineerFull TimeRemoteTeam 51-200Since 2017H1B SponsorCompany SiteLinkedIn
Location
Alabama + 20 moreAll locations: Alabama, California, Colorado, Florida, Illinois, Kentucky, Montana, Nevada, New Jersey, New York, North Carolina, Oregon, Massachusetts, Michigan, Missouri, Pennsylvania, Texas, Utah, Virginia, Washington, Wisconsin
Posted
33 days ago
Salary
Not specified
Bachelor Degree3 yrs expEnglishPython
Job Description
• You will be instrumental in elevating our core ML platform to its next level of performance, reliability, and scalability.
• You'll work on the critical infrastructure that directly enables all of Afresh's Machine Learning and Applied Science teams to innovate faster and deliver impact.
• Your contributions will empower our product suite, including our flagship Prediction Engine, to power replenishment decisions on more than 15% of all produce sold in the United States.
• In your first 3 months, you might deliver a feature that helps generalize model configuration, enables no-code model deploys for our various ML solutions, or vastly improves integration testing across our ML systems.
• By the end of your first 6 months, you will have owned the implementation of significant scalability improvements and additions to our ML platform.
Job Requirements
- BS in Computer Science or a relevant technical field.
- 3+ years of professional software development experience with a proven track record of shipping high-quality applications and services.
- Experience working collaboratively with machine learning engineers, data scientists, or applied scientists on large-scale software projects involving machine learning models.
- Deep expertise in library design, API design, data structures, and algorithms.
- Strong familiarity with Python.
Benefits
- Afresh provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity/expression, marital status, pregnancy or related condition, or any other basis protected by law.