Head of Machine Learning at Afresh
🇺🇸 United States › California › San Francisco (Posted Jan 29 2021)
About the company
Founded in 2017, Afresh is the first A.I.-powered fresh food optimization platform for grocery chains. We have partnered with several large grocers representing hundreds of stores and >$10B in revenue. Our cutting-edge AI research has been published in top journals (e.g., ICML). We’re backed by some of the top investors in grocery and tech including Innovation Endeavors (former Google CEO Eric Schmidt’s firm), Baseline Ventures (first money in Stitch Fix, SoFi, Heroku, Instagram), Food Retail Ventures, Maersk Growth, and Impact Engine.
We are building a vibrant, diverse, and inclusive team that embodies our company’s values: proactivity, kindness, candor, and humility. We aspire to continually grow as individuals and as an organization to live these values and realize our mission. We earnestly believe that Afresh represents a one-of-a-kind opportunity to have massive social impact at scale by employing novel technology—and to have a ton of fun along the way.
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.
Afresh is on a mission to reduce food waste and increase access to nutritious food globally by transforming the fresh food supply chain. Our AI-powered solutions optimize the multi-trillion-dollar grocery industry's food ordering, production, and merchandising processes. We built the first platform capable of handling all of Fresh food’s complexities.
We are relentlessly focused on helping grocers reduce waste, increase profitability, and bring better, fresher food to their communities. Afresh is currently deployed in hundreds of grocery stores across the United States and is on track to reduce 30 million pounds of food waste per year with our existing customers alone. By 2021, we're aiming to reduce food waste by a quarter billion pounds per year.
We are a passionate team united by our mission to make an impact. As an Afresh employee, you’ll own meaningful work that will challenge you and change the future of how fresh, nutritious food makes its way through the supply chain.
We hope you’ll join us!
About the Role
As our Head of Machine Learning, you will be leading and managing our incredibly talented ML team in its pursuit to eradicate hundred of millions of tons of food waste every single year. We use cutting-edge AI (we’ve been published in ICML!) combined with thoughtful design to enhance decision-making and optimize store workflows. We are looking for a true coach to empower our team and a true partner to collaborate with others across Afresh as we work towards our mission of reducing fresh food waste and making fresh food fresher and more accessible.
What you will do
Lead, manage, and develop the ML team and Afresh's production-scale ML system that uses deep-learning and other cutting-edge ML techniques to power store replenishment recommendations that have direct impact on the amount of food wasted
Participate in and lead key technical and design decisions as we push the capabilities and boundaries of our system
Mentor, coach, and develop our talented ML engineers technically and professionally
Scale up our impact by recruiting, interviewing, and hiring high-caliber ML engineers and leaders
Develop and contribute to company strategy and technical vision to increase our impact within our current deployments and broaden our impact in future applications
Play a key role in developing organizational structures to ensure the team, engineering, and company continue to scale up to meet increasing customer demand
Collaborate both with engineering and organizational stakeholders to execute on our short- and long-term roadmap
Champion our culture of excellence, curiosity, collaboration, proactivity, candor, humility, and kindness
What skills or experience do you need?
6+ years of combined professional software engineering experience as an engineering manager, tech lead, or ML engineer
3+ years of engineering management experience, ideally in ML engineering or a related area
Professional experience building, deploying, and managing production ML software and systems at scale
Demonstrated management ability, including strong communication, coaching, and prioritization skills as well as high EQ
Demonstrated ability to triage and solve open-ended, ambiguous systems-level problems
A Bachelors degree in a STEM field, ideally in computer science with a focus on ML. Advanced degree a plus but not required.
The above represent attributes our ideal candidate possesses. We encourage all highly-qualified candidates to apply, even if they do not fulfill all the listed criteria.
Other machine learning jobs that might be interesting
NLP Engineer - Strong Analytics (July 2021)
Chicago, Illinois, United States (Remote work possible)
Strong Analytics is seeking a data scientist with expertise in Natural Language Processing (NLP) to join our team researching, deploying, and monitoring NLP-based solutions for our clients.At Strong, we pride ourselves not only in building the right solutions f...
Senior Machine Learning Engineer (Remote) - Team Go (July 2021)
Remote US, 100% Remote
As a Senior Machine Learning Engineer on the team, you will have an outsized impact on our applied machine learning research and production systems. You’ll work with data scientists, data engineers, and cross-functionally across the org to build prototype mod...
Senior Data Scientist (NLP) - Parenthetic (July 2021)
Arlington, Virginia, United States
We are building human-driven NLP technologies and are seeking an experienced, proactive data scientist to join our newly formed engineering team. An ideal candidate will have a strong background in natural language processing methods and experience with a range...
VP - Data Science / Machine Learning - JPMorgan Chase Bank, N.A. (July 2021)
Plano, Texas, United States
The VP Data Scientist is an individual contributor who should be able to apply quantitative, data science and analytical skills to complex problems. He/she should be able to work across teams to design, develop, and evaluate and execute against those data scien...
Software Engineer in Natural Language Processing (NLP) and Machine Learning - Apple (July 2021)
Cupertino, California, United States
Are you interested in building amazing text input experiences that will touch the lives of billions of people by utilizing state-of-the-art NLP and machine learning? Do you enjoy collaboration and team work to accomplish innovative ML driven user experiences?
Not the machine learning job you are looking for?
Browse all machine learning jobs
and we're sure you will find a suitable one!