Top Remote Senior Level Machine Learning Jobs in Boston, MA

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.

Develop robust, scalable production ML systems, collaborate with Data Scientists, provide technical leadership, build data pipelines, and make intelligent technical decisions.

As a Lead Principal Machine Learning Software Engineer, you will be instrumental in steering the development and deployment of advanced machine learning algorithms. Your responsibilities will include designing system and model architectures, conducting experiments and evaluations, and mentoring ML engineers.

Seeking a Machine Learning Architect to bring the Machine Learning and Artificial Intelligence R&D strategy to the next level, personalize the Qualtrics experience, and showcase Qualtrics data as a core value proposition and competitive advantage.

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.

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.

Lead a team of machine learning engineers working on computer vision tasks using cutting-edge technologies such as LLM and GenAI to enhance image and video processing. Collaborate with cross-functional teams to develop and deploy machine learning models and systems, drive innovation, and improve customer experience in the travel industry.