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Posted August 17, 2023
Harnham

Lead Machine Learning Engineer

Harnham
New York City, NY, USA ⚠ [Archived] No Longer Accepting Applicants
Compensation: $180,000 to $200,000 Annually

Staff MLOps Engineer

$180,000 - $200,000

You will be working with a rapidly growing Luxury Goods company that is focused on transforming the way people authenticate purchases. They are using generative AI and the most cutting-edge tech to solve these problems.

If you are passionate about using AI to transform the way people learn and grow, this role could be a great fit for you.

About The Role

The machine learning team is looking for a Senior Machine Learning Engineer to help build data-driven products using machine learning/data science. This is an opportunity to be an influencer of and a significant contributor to the direction and growth of the team. As a full-stack machine learning engineer, you will:

  • Help solve a variety of problems using data to influence the experience of millions of lenders and borrowers around the world.
  • Ideate, prototype, and productionize machine learning models.
  • Build and scale production-ready ML and back-end infrastructure and services.
  • Influence and help execute our product strategy by collaborating with product managers, business stakeholders as well as other engineers.
  • Help foster a spirit of innovation and collaboration both within the team and across the organization.
  • Work to create impactful and sustainable solutions to complex problems by taking bold and measured risks.
  • Balance your technical excellence with a high E.Q., showing up with a sense of empathy, awareness, and responsibility.
  • Share the knowledge you bring and gain generously with your peers to perpetuate a culture of engineering excellence.

This role can be either remote or based out of our San Francisco / Portland offices and will report to the Director of Data Science based in San Francisco. At this time, we can only consider applicants with authorization to work in the United States on a permanent, full-time basis; unfortunately, we cannot provide visa sponsorship.

About You

  • You have a BS in a quantitative discipline (computer science, engineering, physics, mathematics, or a related field) or comparable work experience.
  • You have 3+ years of experience in prototyping and productionizing data and machine learning-driven products.
  • You have experience in one or more of the following - recommender systems, predictive modeling, reinforcement learning (e.g., multi-armed bandits), personalized search, computational optimization, natural language processing, deep learning, causal inference especially as applied to e-commerce/marketplaces/email marketing.
  • You have experience with Docker, Kubernetes, and workflow orchestration tools (e.g. Airflow).
  • You have coding skills in Python and SQL (nice to have Kotlin or Java experience).
  • You have exposure to distributed systems and architectures (such as Kafka).
  • You have the ability to communicate findings and recommendations to technical and non-technical audiences.
  • You are willing to learn, take initiative, and wear multiple hats as required.

KEYWORDS

  • Data Science | Engineering | Natural Language Processing | Machine Learning | start-up | Python | Supply Chain | Software Engineering | Natural Language Understanding | Natural Language Generationms Fundamentals certification