Machine Learning Data Engineer

Oden Technologies; Boston (KY); On-site; USD 120,000 - 190,000; Full time

Job summary

A leading Manufacturing AI company is seeking a ML Data Engineer to develop and implement data and machine learning systems that enhance manufacturing processes. The ideal candidate will have significant experience in ML engineering, strong Python skills, and the ability to collaborate across teams. This role emphasizes producing live recommendations for optimizing manufacturing and requires occasional presence in the New York metro-area. Competitive salary ranging from $120K to $190K based on experience, without sponsorship for visa.

Qualifications

• 3-5 years professional experience as an ML Engineer/Data Engineer.
• Proficiency with distributed data processing systems.
• Strong Python skills, including common ML and optimization libraries.

Responsibilities

• Develop and maintain systems that manage the full ML lifecycle.
• Collaborate with data scientists to create and deploy ML models.
• Validate results in real‑world deployments with customers.

Skills

Machine Learning

Data Processing

Python

SQL

Education

M.S. or Ph.D. in Machine Learning, Distributed Systems, or related fields

Tools

Apache Beam

Apache Spark

MLflow

Vertex

SageMaker

Job description

About Oden

Manufacturing is undergoing its fourth industrial revolution, with factory operations increasingly driven by real‑time applications that combine process and context data with advanced ML and AI algorithms. This is unlocking a staggering opportunity to improve the efficiency and productivity of existing manufacturing processes.

As a Manufacturing AI company, Oden is at the forefront of this revolution. We combine large‑scale data processing architectures and advanced AI and ML algorithms within the Oden platform so manufacturing operations teams can continuously monitor, analyze, and optimize their production across a diverse set of processes and conditions. Our goal is to maximize efficiency, sustainability, and competitiveness in the manufacturing domain – to help True Makers Make Things Better!

Culture

• We obsess over customers. Everything we do is to create profound results and delight for our customers. Every Viking cares about the purpose of the product and company, and prioritizes work based on customer end results. When in doubt, we go to the Gemba – we’re happy to put on steel toe boots and hit the factory floor to work with the production manager.


• We move fast and follow through – we live by transparent and scientific thinking, act with urgency, and put in the work to find the best ideas with those around us.


• We elevate each other by giving and receiving direct, honest feedback and holding ourselves and others to a high standard to help the team rise, deliver, and win together.


• “Be True Makers to Serve True Makers.” We’re building a community that fuels innovation and accelerates our pace and impact. We always ask if there’s a better way to do something, even if it's unconventional – then we try it. We aim for bold yet simple solutions that cut through complexity and drive meaningful progress.

The Role

As an ML Data Engineer, you will research, develop and implement data and machine learning pipelines and systems to support applications that enable operations teams to manage and optimize the manufacturing process as effectively as possible. Applications built on these systems include continuous predictions of quality, cost and machine failure, live recommendations for process optimization, and anomaly detection for real‑time alerting.

You will work with manufacturing data, including real‑time sensor readings and measurements, context from external systems, and outcomes such as quality, cost and yield. You will build systems and models that can learn from high‑dimensional and heterogeneous time‑series datasets, adapting to changing process conditions and both explicit and implicit feedback. Techniques you will use include deep learning, AI for time‑series, reinforcement learning and recommendation systems.

You will collaborate closely with Oden’s Product team to build these systems as foundations for our product, participating in end‑to‑end engineering from conceptualization to deployment. You will also work with our Customer Success teams to understand processes and validate results in production environments.

Responsibilities

• Develop and maintain systems that manage the full ML lifecycle – from data preparation and model training to deployment and monitoring.


• Collaborate with data scientists to create and deploy ML/AI models that capture properties of complex manufacturing processes.


• Enable applications of these models for prediction, optimization, monitoring and alerting.


• Work with the engineering, product and customer success teams to implement and deploy solutions.


• Validate results in real‑world deployments with our customers.


• Generalize solutions and innovate to create next‑generation product features.


• Engage 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 Ph.D. in Machine Learning, Distributed Systems, Computer Science with an ML/AI focus, or related fields).


• Proficiency with distributed data processing systems such as Apache Beam/Dataflow and Apache Spark.


• Proficiency with ML workflows and tools – including open‑source tools like MLflow and cloud platforms like Vertex or SageMaker.


• Strong Python skills, including common ML and optimization libraries.


• Experience with SQL; knowledge of GCP is a plus.


• Experience 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 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. The role may be hired at the L3 Engineer level ($120,000–$170,000) or the Senior ML Engineer level ($140,000–$190,000). The offer salary 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.

We’re an equal‑opportunity employer (EOE). Diversity at Oden means building a team that is rich across all boundaries of race, ethnicity, gender identity, sexual orientation, disability, religion, age and thinking style. We welcome all backgrounds, life experiences, and worldviews as these are catalysts for the rapid evolution of our product and 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.