Top Senior Machine Learning Engineer Jobs in Boston
The Senior Machine Learning Engineer at Klaviyo will build foundational models to extract insights from data streams, applying cutting-edge techniques in machine learning to generate value for customers by personalizing messages.
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.
As a Senior Machine Learning Engineer at Movable Ink, you will work on advancing the core machine learning solution and infrastructure, focusing on recommender-system related challenges and collaborating with engineering teams to improve ML development experience. The base pay range for this position is $180,000 - $220,000 USD/year. Stock options, commission pay, and benefits are also provided as part of the compensation package.
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 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.
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.
Design equitable and competitive compensation programs. Determine base pay range based on skills, expertise, or experience. Eligible for benefits, bonuses, commissions, and equity.
This role is part of our Cash App's ML team and will be deeply embedded within one of our product teams. You will empower the team to understand the financial performance of origination cohorts, optimize our automated decisioning pipeline using AI/ML, and help identify new opportunities for growth in our customer base.
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Design, build, and launch credit products and features using machine learning solutions. Collaborate with cross-functional teams to enhance user experiences and develop new ML applications. Mentor and support fellow engineers in enhancing development capabilities.
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.
Seeking a Senior ML Engineer to accelerate and improve ML development cycle, design innovative ML solutions integrating structured and unstructured data, and work closely with cross-functional teams to meet customer needs and drive business value.
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.
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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++.
Design, develop, and implement machine learning models for various applications. Research and implement state-of-the-art machine learning algorithms. Design and implement cloud architectures for machine learning workflows. Collaborate with cross-functional teams to deliver effective solutions.
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.
Staff Machine Learning Engineer position at Chewy.
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.
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