Machine Learning Data Engineer

About the role

The role involves developing and maintaining systems that manage the full ML lifecycle, working with data scientists to create and deploy ML/AI models, enabling applications of these models to different problems for prediction, optimization, and monitoring and alerting. Responsibilities include implementing and deploying solutions, validating results in real-world deployments with customers, generalizing solutions, and innovating to create the next generation of product features. This individual will engage with the technical community to present results externally, keep up to date on recent advances, and advance the state of the art.

Responsibilities

• Developing and maintaining systems that manage the full ML lifecycle - from data preparation and model training to deployment and monitoring.
• Working with our data scientists to create and deploy ML/AI models, algorithms, representations and methods that capture properties of complex manufacturing processes.
• Enabling applications of these models to different problems for prediction, optimization, and monitoring and alerting.
• Implementing and deploying solutions.
• Validating results in real-world deployments with our customers.
• Generalizing solutions and innovating to create the next generation of product features.
• Engaging with the technical community to present results externally, keep up to date on recent advances, and advance the state of the art.

Requirements

• 3-5 years professional experience as an ML Engineer/Data Engineer.
• Advanced degrees (M.S. or PhD. in Machine Learning, Distributed Systems, Computer Science with ML/AI focus, or related fields).
• Proficient with distributed data processing systems e.g. Apache Beam/Dataflow, Apache Spark.
• Proficient with ML workflows and tools - including open source tools like MLFlow, cloud platforms like Vertex or Sagemaker.
• Proficient with Python, including most common ML and Optimization libraries.
• Experience with SQL and GCP is a plus.
• Experience with designing, building and deploying performant ML products.
• Familiarity with unstructured data and Generative AI - especially around enterprise applications is a plus.

Qualifications

• Enthusiasm to own projects end-to-end; from experimentation to customer delivery.
• This person should be based in the New York metro-area and willing to come to an office at least a several times a month.

Benefits

The base salary band for this role will be between $120,000 and $190,000, in addition to equity and benefits. This role may be hired at the L3 Engineer level ($120,000 to $170,000) or the Senior ML Engineer level ($140,000 to $190,000). The salary at offer will be determined by factors such as the candidate’s experience, knowledge, skills, and abilities, as well as internal equity among our team.

Pay

The anticipated base salary range for this role is between $120,000 and $190,000, with potential for additional equity and benefits.

Schedule

The position requires regular attendance at the office, with a minimum commitment of several times a month.

Skills

• Experience with distributed data processing systems (Apache Beam/Dataflow, Apache Spark).
• Proficiency with ML workflows and tools (MLFlow, cloud platforms like Vertex or Sagemaker).
• Expertise with Python, including common ML and Optimization libraries.
• Knowledge of SQL and Google Cloud Platform (GCP).
• Experience with designing, building, and deploying performant ML products.
• Familiarity with unstructured data and Generative AI, especially in enterprise applications.

Benefits

• Equity and benefits package.
• Competitive salary range between $120,000 and $190,000.
• Regular office attendance required, with a minimum commitment of several times a month.

Company Culture

We prioritize customer obsession, rapid innovation, and a passion for making things better. We foster a culture where everyone is encouraged to share their ideas and work collaboratively towards achieving our goals. We believe in fostering a diverse and inclusive workplace where everyone feels valued and empowered to contribute their unique perspectives and talents.