Top Machine Learning Engineer Jobs in Boston
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.
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++.
Build, orchestrate, and monitor model pipelines including feature engineering, scaling machine learning algorithms, and implementing ML Ops. Write production-ready code, collaborate with client teams, and contribute to researching latest technologies.
Seeking a mid-level Machine Learning Engineer to design and develop Large Language Model-based systems, solve unique challenges in LLM-orchestration, participate in all stages of the ML lifecycle, work with proprietary unstructured and structured data, and collaborate with teams to build ML-based solutions.
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.
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.
Featured Jobs
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.
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.
Develop and implement machine learning models for fraud detection, analyze datasets, collaborate with teams, monitor model performance, and stay updated on machine learning advancements. Present reports on model performance and fraud trends.
Design and develop next-generation AI systems to improve customer experience and offer relevant travel products. Lead projects related to NLP, recommendations, and topic detection. Collaborate with cross-functional teams to translate business requirements into machine learning solutions. Stay updated on latest trends and technologies in machine learning.
As a Principal Data Scientist, you will drive the experimentation practices and analyses, collaborating with business, engineering, and analytics teams, to enable trustworthy decisions at scale.
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.
Develop production ML systems, collaborate with Data Scientists, build data pipelines, evaluate user experiences and ML algorithms, work on software development, data engineering, and machine learning solutions.
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.
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.
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 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.
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.
Top Boston Companies Hiring Machine Learning Engineers
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