Top Remote Machine Learning Jobs in Santa Cruz, CA
Build and integrate ML solutions for evaluating customer cash flow risk, support multiple products, optimize automated decisioning pipeline, experiment with modeling techniques, and partner cross-functionally with finance, product, and engineering teams.
Design, build, and manage distributed services and pipelines for underwriting and credit at Cash App. Lead cross-team projects, ensure high code quality, collaborate with various teams, and solve technical challenges at scale. Mentor and support fellow engineers for growth in development capabilities.
A Data and Analytics Staff Consultant contributes as a team member on consulting projects, with a focus on building technical skills and providing effective training and knowledge transfer to clients. They are responsible for creating high-quality project documentation, refining business and technical requirements, and collaborating with engagement leads and stakeholders. The role requires strong communication skills and the ability to articulate the business value of technical solutions delivered to clients.
Seeking a Senior Scientist in AI/ML Cheminformatics to develop new workflows for discovering medicines using advanced AI/ML approaches. Responsibilities include virtual screening, lead optimization, and collaboration with discovery teams. Required qualifications include a Ph.D. in relevant disciplines, experience with deep learning frameworks, proficiency in Python, and knowledge of machine learning best practices.
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Senior Software Engineer focused on ML Infrastructure at Thumbtack. Responsible for centralizing, standardizing, and evolving machine learning infrastructure capabilities. Collaborate with engineers, scientists, and product managers to execute on the shared vision for generative AI, feature platforms, model deployment, and monitoring.
Join Workiva as a Staff Machine Learning Engineer to architect and deliver cutting-edge ML solutions, collaborate with product teams, lead in the ML space, ensure reliability, and support machine learning infrastructure. Required qualifications include a Bachelor's degree in Computer Science or Engineering, 4 years of ML engineering experience, and proficiency in ML development cycles and toolsets.
At Atlassian, the Senior Machine Learning Engineer position offers a competitive base pay range of $165,500 - $265,800 in the United States across three geographic pay zones. The role may also include benefits, bonuses, commissions, and equity.
Seeking a Machine Learning Engineer in Perception to develop robust models for self-driving vehicles. Responsibilities include prototyping new algorithms, optimizing model performance, and supporting hardware projects. Ideal candidates should have a solid understanding of computer vision fundamentals and experience with ML model development.
Senior Machine Learning Engineer responsible for developing cutting-edge ML models and algorithms for strategic investment decisions. Partner with various stakeholders to refine growth strategy and inform investment decisions with data. Stay updated on the latest trends in machine learning and data science.
Develop ML solutions to increase safety, efficiency, and sustainability of physical operations at Samsara. Collaborate with various engineering teams to deliver core infrastructure and optimizations. Open to candidates in Canada and US excluding specific areas in San Francisco Bay Area and NYC Metro Area.
Seeking a skilled MLOps Engineer to spearhead model deployments for Computer Vision and Machine Learning. Responsibilities include designing and implementing MLOps pipelines, managing the lifecycle of models, optimizing cloud infrastructure, collaborating with the team, and staying updated on industry trends.
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