Job Title: Staff Software Engineer, ML Platform

Company Name: Afresh

Job Url: https://jobright.ai/jobs/info/6920730fa49a885af9a3b370

Job Description: 
Afresh
· 11 hours ago
Staff Software Engineer, ML Platform

United States

Full-time

Remote

Senior Level, Lead/Staff

$169K/yr - $253K/yr

7+ years exp
73%
GOOD MATCH
64%
Exp. Level
52%
Skill
77%
Industry Exp.
Afresh is the leading AI company in fresh food, partnering with grocers to eliminate food waste and make fresh food accessible. The ML Platform Engineering team is responsible for building and maintaining the infrastructure that powers machine learning solutions, and the ML Platform Engineer will enhance the performance and scalability of this core platform.
Agriculture
Artificial Intelligence (AI)
Food and Beverage
Logistics
Software
Machine Learning
Supply Chain Management

Culture & Values
No H1B

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Responsibilities
In your first 3 months, you might deliver a project 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 design and implementation of significant scalability improvements and additions to our ML platform. This might include new feature pipelines that power our recommendation engine, or work to stand up the first instance of real-time inference at Afresh

Qualification

Represents the skills you have
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Software development
Machine learning collaboration
Library design
API design
Data structures
Algorithms
Python
NumPy
Pandas
Torch
PySpark
Cython
Airflow
Databricks
Required
BS in Computer Science or a relevant technical field
7+ 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
Technical leadership experience and a demonstrated ability to mentor junior engineers
Deep expertise in library design, API design, data structures, and algorithms
Strong familiarity with Python