Machine Learning Data Engineer

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 Enable applications of these models to different problems for prediction, optimization, and monitoring and alerting. Working with the engineering, product and customer success teams to Implement and deploy 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 Preferred Experience: 3-5 years professional experience as an ML Engineer/Data Engineer and 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. 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 We anticipate 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. At this time, we cannot offer visa sponsorship. Candidates must be authorized to work in the United States without current or future employer sponsorship At Oden, we are deeply committed to ensuring that every team member is engaged in work they are passionate about and find fulfilling. We prioritze your career development, offering personalized pathways for growth and advancement. Our approach is to align your strengths and interests with the company’s goals, ensuring that you not only contribute meaningfully but also progress steadily in your professional journey, reaching new heights in your career. We’re an equal opportunity employer (EOE). Diversity at Oden means building a team that is rich across all boundaries of race, ethnicity, gender identification, sexual orientation, disability, religion, age and thinking style. We welcome all backgrounds, life experiences, and worldviews as these are the catalyst for the rapid evolution of our product and our organization. Diversity allows us to tackle new challenges, embrace change, make well-informed decisions, and ultimately Make Things Better. In alignment with our “People First” company value, Oden has a passionate internal team dedicated to the promotion of diversity and inclusion initiatives as a core component of our culture. Our diversity initiatives apply to our practices and policies on recruiting,

compensation and

benefits; professional development; promotions; social activities and the ongoing development of a psychologically safe work environment.

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