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Omnia Fishing
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Omnia Fishing

Job Opening: Machine Learning Engineer

(View All Open Positions)

Hi, I'm Dan, CTO and co-founder at Omnia Fishing.  I'm looking for a Data Science Engineer to join our growing team.  This role is cross-functional and will work across engineering, product, marketing, and company leadership. 

Omnia is looking for our first team member focused solely on machine learning engineering.  Data has been at the center of what we’ve built from day one and we have used data to heavily inform everything from strategic plans to product prioritization to engineering tooling. We are looking to leverage machine learning to continue to grow our business and extend our existing data-driven retail product offering. You would own, define and build the middle layer of the platform including the CI/CD pipeline. You will drive the development and deployment of core machine learning features and services.

Our team is small and remote-friendly with members who know how to get things done efficiently and effectively.  We keep meetings to a minimum and trust each other to communicate as needed.

An interest in fishing is not a requirement, but if you are interested in outdoor pursuits this is a dream job to combine your personal interests with your professional life.

What you’ll do:

  • Lead and create best practices for machine learning service development that include data pipeline development and automation, model version and deployment, and machine learning feature testing
  • Design and manage CI/CD pipelines for our machine learning product deployment
  • Collaborate cross-functionally with Product, Marketing, Leadership and Insights & Analytics
  • Create business value by infusing data into products and processing

What we’re looking for:

  • Customer obsession
  • A passion for data and algorithms
  • Comfortable working in a rapid growth environment
  • Ability to work collaboratively in a dynamic, team-based environment
  • 5+ years of machine learning and data science industry experience
  • Strong relational SQL skills (we use BigQuery and Postgres)
  • Strong expertise in developing and deploying machine learning models in production
  • Solid understanding of machine learning, software development, and statistical modeling
  • Proficiency in Python and GCP machine learning platform
  • Experience with building REST APIs with a framework such as FastAPI, Django or Flask
  • Experience with cloud computing services or platforms (GCP and AWS preferred)

About Omnia Fishing

Omnia is in the process of building out a personalized commerce platform powered by a geospatial context engine.  We help people find the fishing gear they need for their lakes and species using our recommendations and community input. We have (almost) every lake in the country in our system, tens of thousands of repeat users (our customers LOVE us), and millions in annual sales. Our users are creating thousands (more every week) of structured fishing reports to help other anglers. All this together creates virtuous loops of engagement and growth that you will be building software to enhance further.

We just closed our Series A from some great partners including Founder Collective, Dundee Ventures, Bread & Butter Ventures, Liquid 2 Ventures (Joe Montana).  Our advisory board includes Justin Kaufenberg GP at Rally Ventures and founder of SportsEngine; Andrew Savage, Co-Founder Suma Brands and former COO of Dolls Kill; Erin Newkirk CMO of Caribou Coffee; Ralph Castner CEO Rush Creek and former CFO of Cabela’s.  We are ready to keep rolling and take the business to the next level with your help

Benefits at Omnia

We offer competitive compensation depending on experience and market rate.

  • Remote friendly with space onsite to collaborate and work as needed or on a regular basis if preferred
  • Flexible schedule with fishing and outdoor days
  • PTO policy that encourages work/life balance
  • Full health benefits

How to apply

Apply here

Here's what you can expect 

  • 30-minute video call with Dan, our CTO/Co-Founder
  • 60-minute technical interview with Dan and Mark, our Head of Product
  • 90-minute review of take-home case with Dan, Mark and Matt, our CEO/Co-Founder
  • Final interview with our founders Matt, Chris and Dan