Top Remote Senior Machine Learning Engineer Jobs in Boston, MA

Seeking an experienced Senior Machine Learning Platform Engineer to join the Machine Learning Foundations team. Responsible for building self-service tooling for the model lifecycle and collaborating with internal customers to provide sustainable software solutions. Must have expertise in software engineering, machine learning engineering, and experience with the ML lifecycle and distributed systems.

Machine Learning Engineer role at Cash App focusing on building ML models for fraud detection, customer support automation, and underwriting/credit evaluation. The team operates at a massive scale using AI to understand customers and offer new products. Role involves working with state-of-the-art algorithms, NLP, OCR, and biometric signals.

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

Collaborate with cross-functional teams to develop strategies and solve business challenges using data analysis. Conduct statistical analysis and apply analytical approaches to test hypotheses. Inform and influence strategy decisions through insights and recommendations.

Design, build, and enhance batch and real-time inference services and tooling that support ML use cases. Facilitate modelers by unblocking access to necessary infrastructure/tools. Develop prototypes and partner with ML modelers to encourage adoption of new tools and technologies. Join a new and growing team and influence team culture.

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.

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.

Lead the design and development of machine learning models and systems in production, focusing on content-related AI projects. Enhance user-generated content accessibility for travelers through AI Review Summaries, Collections, Auto-Tagging, and Knowledge Graphs. Work with cutting-edge technologies including NLU, LLMs, Knowledge Graphs, and GenAI.

As an Applied Machine Learning engineer at Atlassian, you will work on developing and implementing cutting-edge machine learning algorithms, training models, and collaborating with product, engineering, and analytics teams to integrate AI functionalities into Atlassian products. Responsibilities include designing system and model architectures, conducting experimentation, and applying AI/ML to enhance product features.

Seeking a Principal Machine Learning Engineer to drive the development and implementation of cutting edge machine learning algorithms, collaborate with product and engineering teams, and ensure AI functionalities are integrated into Atlassian products and services.

As a Machine Learning Engineer at Dropbox, you will design, build, evaluate, deploy, and iterate on large scale Machine Learning systems. Collaborate with cross-functional teams to revolutionize the way people work and collaborate. Requires a BS or MS in Computer Science, 2+ years of experience, strong analytical skills, and proficiency in Python and C/C++.

Seeking a Deep Learning Research Scientist passionate about expanding the limits of deep learning capabilities. Responsibilities include designing and developing generative AI systems, improving existing deep learning systems, advancing the research agenda, and creating open-source work. Requires a master's degree in Computer Science or equivalent experience, 5+ years of hands-on deep learning experience, and proficiency in Python, PyTorch, JAX, TensorFlow.

Seeking a highly skilled and motivated Principal Machine Learning Scientist specializing in video and audio AI. Responsible for conducting research, data analysis, model development, algorithm optimization, experimentation, collaboration, and staying current with advancements in the field.

As a Senior Principle Machine Learning Engineer at Atlassian, you will integrate cutting-edge AI capabilities into Atlassian products like Jira and Confluence. You will develop and implement machine learning models, analyze large datasets, and collaborate with cross-functional teams. Your work will transform the way teams interact and propel team work forward. The position offers competitive compensation, benefits, bonuses, commissions, and equity.

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.

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.

Play a major part in building next generation Large Language Models for Enterprise Language Generation at ServiceNow. Apply AI/ML expertise to solve real-world challenges and collaborate with a team to produce quality software. Work on developing AI-powered work experiences for customers.