Machine Learning Engineer II - Remote

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ABOUT OUR TEAM

Teikametrics is a leading maker of E-commerce AI. We’re a diverse group of individuals who champion passion, character, and talent as the core tenets to creating profitable and long-lasting businesses.

 

Our AI helps the sellers (both large and small) on e-commerce platforms by providing deep performance analytics at a product level, as well as support for complex decision-making through a combination of econometrics and machine-learning, in a simple SaaS interface. Our software enables these independent brands to optimize their advertising, forecast demand, detect product issues and maximize overall profitability. While still at start-up size (~200 employees), the company has significant annual-recurring-revenues, and has recently raised two rounds of investment to fuel growth.


Machine Learning Engineer 

We are looking for a Machine Learning Engineer to join the AI Team tasked with building a platform that supports the rapid construction and deployment of prediction and control services in the domain of E-commerce. Candidates should have an understanding of machine-learning and statistical modeling concepts paired with strong software engineering fundamentals. 


The AI team's predictive services are developed in Python on top of AWS Sagemaker, orchestrated by Airflow and backed by a data warehouse in Snowflake. The team's mandate is to design and build infrastructure that enables us to safely deploy solutions to the multi-agent, game-theoretic problems at the heart of decision-making in E-commerce. This entails model train/evaluate/serve lifecycle management, ML metadata storage and visibility, provisioning of separate environments for staging and integration testing, and task orchestration.

QUALIFIED CANDIDATE REQUIREMENTS

  • 3 + years of experience working as a professional software developer.
  • Proficiency and experience of 1+ years in Python with exposure to some subset of the Python ML ecosystem (numpy/scipy/pandas, Tensorflow, etc.) 
  • Exposure to machine-learning model lifecycle; training, evaluation, serving.
  • Interest in deploying machine-learning models as scalable services.
  • Interest in "tool-making"; building features for developers that empower them and make them faster.
  • Experience with CI / CD.
  • Passion for learning and growing as a developer.
  • Desire to work in a collaborative environment focusing on continuous learning; participating in tech talks, code review, and pair programming.

  • It's a bonus to have:

  • Experience with Apache Spark 
  • Experience writing, testing, and interpreting numerical, scientific code.
  • Experience with functional programming.
  • Proficiency in SQL.

ABOUT TEIKAMETRICS

There has never been a more exciting time to join Teikametrics, the leading Retail Optimization Platform (ROP). We’re building an operating system to optimize every aspect of a retailer's business -- from advertising to inventory to pricing. We optimize billions of transactions for thousands of entrepreneurs and brands around the world selling on Amazon and other marketplaces. The Teikametrics ROP uses proprietary econometrics and machine-learning data models packaged in a simple SaaS interface. We combine our best in class technology with coaching and support from our world-class teams based in Boston, MA, Seattle, WA, Bengaluru, India, and Tel Aviv, Israel, and Hong Kong, China. We are looking for team members who are values aligned, make impact to our mission, and thrive in our fast-growing organization.

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Location

Headquartered in Boston, we are a remote-first organization with offices in Seattle, India, Israel, and remote employees across the globe.

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