6 of 6 Remote/Hybrid Machine Learning Jobs in Dorchester

Product Manager, Knowledge Platform drives strategy and development of Lightcast’s knowledge-layer capabilities across taxonomy, ontology, analytics, and machine learning-powered data products. The role focuses on understanding customer problems, evaluating data and technical opportunities, and translating ambiguous challenges into clear product direction. Success requires strong product … with technical, analytical, or data-focused products, including product strategy, discovery, and/or delivery. Technical fluency in areas such as data, analytics, AI, machine learning, taxonomy, ontology, or knowledge systems . Experience working cross-functionally with customers, engineering, data science, product, and commercial stakeholders. Ability to work ...

Product Manager, Knowledge Platform drives strategy and development of Lightcast’s knowledge-layer capabilities across taxonomy, ontology, analytics, and machine learning-powered data products. The role focuses on understanding customer problems, evaluating data and technical opportunities, and translating ambiguous challenges into clear product direction. Success requires strong product … with technical, analytical, or data-focused products, including product strategy, discovery, and/or delivery. Technical fluency in areas such as data, analytics, AI, machine learning, taxonomy, ontology, or knowledge systems . Experience working cross-functionally with customers, engineering, data science, product, and commercial stakeholders. Ability to work ...

reduce reliance on manual processes across the security function. Prior experience or a demonstrated practical interest in securing AI workloads, data pipelines, and machine learning environments. The communication skills to collaborate effectively with highly technical stakeholders, champion security initiatives without hindering developer productivity, and translate risk into language ...

reduce reliance on manual processes across the security function. Prior experience or a demonstrated practical interest in securing AI workloads, data pipelines, and machine learning environments. The communication skills to collaborate effectively with highly technical stakeholders, champion security initiatives without hindering developer productivity, and translate risk into language ...

constraints, and evaluation results into clear product and system decisions Make hard trade-offs across quality, latency, cost, reliability, and UX Work closely with ML, backend, and mobile engineers on system design, evaluation, and iteration Define and evolve evaluation frameworks across offline metrics, online experiments, and human feedback Ensure systems … correctness, predictability, and user trust Technical foundation Strong grounding in computer science fundamentals, including algorithms, data structures, and system design. Solid understanding of ML fundamentals and how modern AI systems behave in production. AI & ML experience Hands-on exposure to AI-powered products, including LLM-based systems. Proven ability ...

constraints, and evaluation results into clear product and system decisions Make hard trade-offs across quality, latency, cost, reliability, and UX Work closely with ML, backend, and mobile engineers on system design, evaluation, and iteration Define and evolve evaluation frameworks across offline metrics, online experiments, and human feedback Drive execution … user trust What You Will Need Technical foundation Strong grounding in computer science fundamentals, including algorithms, data structures, and system design. Solid understanding of ML fundamentals and how modern AI systems behave in production. Comfort reading, reviewing, and discussing technical design documents. AI & ML experience Hands-on exposure ...