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Top Machine Learning Jobs in Hartford, CT
You will lead a team to innovate in natural language processing, big data, and artificial intelligence, creating technologies that change digital interaction. This role demands creativity, strong collaboration skills, and the ability to develop prototypes rapidly.
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The Machine Learning Architect will design and execute machine learning projects from proof-of-concept to deployment, architecting solutions on cloud platforms such as AWS, GCP, and Azure. The role involves collaborating with business representatives, managing all project phases, and ensuring technical excellence in machine learning delivery while staying current with advancements in the field.
Principal Machine Learning Engineer at Yahoo News focused on developing ranking, recommendation, and content systems. Collaborating with cross-functional teams to leverage machine learning for improving Yahoo News and building tooling for the editorial team.
phData is looking for Sr Machine Learning Engineers to design and create environments for data scientists, work within customer systems, define deployment approaches, reveal the value of data, partner with data scientists, and create operational testing strategies. Apply for future opportunities at phData even if there's no current role available.
As a ML Data Engineer II, you'll design and develop data pipelines to extract, enrich, and process metadata. You'll work with teams to deliver scalable metadata solutions and maintain systems at scale, ensuring data accuracy and quality through automation.
As a Staff Machine Learning Engineer, you will design and develop scalable ML platforms and services, define and maintain Machine Learning data pipelines, productionize models, optimize performance, automate workflows, and promote best software engineering practices. You'll collaborate with cross-functional teams to drive ML roadmap and architectural decisions while improving productivity through shared tools.
As a Senior Machine Learning Engineer, you will enhance entity resolution algorithms, predict behaviors of small businesses, and develop ML infrastructure. Your work will focus on building reusable frameworks, engineering scalable systems, and collaborating with data scientists and engineers to ensure optimal system performance.
The Senior AI Researcher will architect, design, and implement state-of-the-art generative AI models for ASR or TTS applications. Responsibilities include training and optimizing LLMs, collaborating with cross-functional teams, and staying updated on advancements in generative AI. A strong focus on problem-solving and collaboration in a fast-paced environment is essential.
The Head of Applied AI will lead the Applied AI Research team in developing innovative AI technologies for the Descript product. Responsibilities include managing research projects, mentoring team members, collaborating on product integration, developing research strategies, and representing the company at events.
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As a Senior Data Scientist, you will provide technical mentorship, build models to quantify impact on the platform, develop experimentation techniques, and create features to identify customer issues. The role focuses on navigating tradeoffs to drive business value across the organization.
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