Machine Learning Engineer (Fully Remote)
LOCATION New York
CONTRACT TYPE Full-Time
SALARY $115,000-150,000

How would you like to bring your talents to a true disruptor at the cross-section of FinTech and E-Commerce? We are seeking a Machine Learning Engineer who wants to get their fingerprints all over the building of our Data platform.

Did we mention the role is fully-remote? We're a fully distributed team, who trust our teammates to excel at their roles in a work environment that works best for them.

Intrigued? Keep on reading...

 

What's The Job?

We are seeking a Machine Learning Engineer to help build out our Data platform. We have the foundations in place, but you'll be tasked to take it to the next level and ensure our Data infrastructure is reliable, robust, and scalable to match our growth ambitions.

As our Machine Learning Engineer, you will report directly to our Director of Data Engineering. We are looking for you to start the process of building out our Data Science capacities (which are separate to our Analytics team).

Some key areas of focus will be automating deployments and being the bridge between Data Engineering and our Data Analytics team.

The position is fully-remote. So you'll be able to work on your own time, and create a work environment that works best for you to excel in the role. We trust our teammates. We don't micro-manage. While you'll always have all the help you need to succeed, you will need to possess the ability to keep yourself accountable.

 

Who Are We?

We are a true disrupter in our space, a technology company at the intersection of FinTech and E-Commerce. We develop 'white-label' solutions for some of the biggest and most luxurious global brands. Our technology enables customers to purchase the items they love, with instant and hyper competitive financing options upon checkout.

We are a mission-driven company. We want all our customers better, and more financially achievable, access to the products they love.

We were recently acquired due to our success, and now have the best of both worlds. We are still operating independently and continuing with our start-up environment, yet we now have the deep and solid financial resources to achieve our huge goals for our product, customers, and company. We are around 200 teammates strong right now and growing rapidly. Our aim is to double our engineering team by the end of the year. If opportunities for growth is one of your key components in your job search, we're the place for you.

 

What Skills Do You Need?

  • We are looking for a Data Engineer first and foremost but someone with Machine Learning experience on top.

  • The ideal candidate would have experience with production model deployments, could be using a framework (ML Flow, KubeFlow, MetaFlow, TensorFlow, etc.)

  • Have an understanding of data science (but doesn't need a formal background) and has experience with software development and data pipelines. 

  • Experience with Spark and Databricks.

  • Experience with cloud platforms such as AWS.

  • Experience with Airflow.

  • You have built robust data pipelines, and ETL processes, and preferably Machine Learning pipelines.

 

Compensation:

  • $115,000 - $150,000 (Base Salary + Bonus)

  • Full Robust Benefits Package

  • 401K with Matching

  • Fully-Remote. Work from home in an environment that works best for you.

 

What's In It For You?

If you're looking for:

  • A mission-driven Company.

  • Growth opportunities.

  • A start-up environment but at a company with excellent financial resources.

  • A place to put your fingerprints all over what we're building.

  • A remote-based working environment.

  • An excellent compensation package.

THIS IS THE PLACE FOR YOU

 

interested?

APPLY NOW
Katie Kime

Talent Advocate, Data Science and Data Engineering

(646) 876-3010
BACK TO VACANCIES

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I worked with Chris De Crescenzo from Averity, he reached out to me with a role that was right in line with my skills at the time. The role was a great fit for me with an awesome company, and he kept me up-to-date and informed at each turn of the interview process. In almost no time I was at the final interview step and Chris walked me through the on-boarding process and how to go from there. He was a pleasure to work with and professional, ensuring I was prepared at each step of the way so that I was primed for success. It was great working with Averity and especially him!

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