Top Machine Learning Engineer Jobs in Boston
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.
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.
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.
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.
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.
Featured Jobs
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.
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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.
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.
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 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.
Develop robust, scalable production ML systems, collaborate with Data Scientists, provide technical leadership, build data pipelines, and make intelligent technical decisions.
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.
Staff Machine Learning Engineer position at Chewy.
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.
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.
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 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.
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.
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