Top Senior Level Machine Learning Jobs in Boston, MA
Build and design tools and infrastructure to support Data Scientists at Whoop in developing, deploying, and monitoring machine learning models. Work on full stack internal toolset, collaborate with Data Science team, contribute to software feature development, follow best practices, and troubleshoot using various tools.
Experiment with state-of-the-art algorithms to improve knowledge retrieval and search efficiency, develop NLP and Gen AI models to enhance customer support effectiveness, collaborate with teams to drive impactful solutions, and monitor model performance.
Hiring a Principal Machine Learning Engineer/Data Scientist at Chewy to work on model development, optimization, tuning, and experimentation. Responsible for collaborating with cross-functional teams to enhance customer experience through personalized recommendations and search functionalities. Requires advanced degree or 10+ years of experience in data science and machine learning.
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Deploy scalable machine learning solutions for computer vision and audio processing at Wasabi. Collaborate with engineers to optimize model performance and contribute to high-quality model production.
Build and maintain core infrastructure for machine learning models and pipelines, solve complex infrastructure challenges, lead technical projects, collaborate with teams and internal customers, accelerate AI innovation across products and platforms
Play a major part in building AI and Machine Learning solutions to transform user experience and workflow efficiency of enterprise services at ServiceNow's Advanced Technology Group.
As a Principal Data Scientist at Capital One, you will work on developing machine learning models, conducting research, building customer behavioral models, and partnering with business and product teams to improve customer experiences and business outcomes.
Lead a team of engineers to build a machine learning AI product, drive product monetization and revenue generation, utilize data to make informed decisions, foster operational excellence, and contribute to technical and product strategies.
Seeking a Staff Machine Learning Platform Engineer to collaborate with various teams to develop and deploy ML applications, build ML infrastructure, utilize Kubernetes and AWS for model serving, and improve processes. Requires 7+ years of ML Platform/ML Ops Engineer experience and proficiency in Python, Kubeflow, LangChain, and LlamaIndex.
The Staff ML Generative AI Scientist will be responsible for designing, developing, and implementing cutting-edge generative artificial intelligence models and algorithms for healthcare applications. This role involves collaborating with cross-functional teams, conducting research, designing and developing AI models, evaluating their performance, and translating findings into practical solutions. The ideal candidate should have expertise in generative AI, healthcare, and experience in model design and evaluation.
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