Top Remote Machine Learning Jobs in Boston, MA
Seeking a Senior Machine Learning Engineer with expertise in attribution space to build data science and machine learning solutions for Square's measurement system. Responsibilities include partnering with various stakeholders, staying updated on advancements in machine learning, and more.
Join Square as a Senior Machine Learning Engineer in the Measurement team to develop cutting-edge ML models and algorithms for guiding strategic investment decisions. Build data science and machine learning solutions for Square's attribution system in collaboration with various stakeholders. Stay updated on machine learning advancements to evolve the measurement system.
As a machine learning engineer, you will work on a large-scale machine learning system and contribute to our core recommender systems and DaVinci Personalization product.
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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.
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A Machine Learning Engineer helps learners discover relevant content tailored to their needs, develops production machine learning algorithms, and collaborates with teams to improve user experiences.
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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