Top Remote Machine Learning Engineer Jobs

As a Machine Learning Engineer at Dropbox, you will design, build, and iterate on large-scale ML systems. You will collaborate with cross-functional teams to personalize user experiences and evaluate system performance against business objectives, impacting millions of users directly.

The Machine Learning Engineer at Liftoff will develop and train algorithms for real-time bidding, analyze inventory performance, and oversee experiments for optimization strategies. The role involves enhancing existing ML infrastructure, collaborating with engineering teams on data pipelines, and fostering a culture of engineering excellence.

Drive the development and implementation of cutting-edge machine learning algorithms, collaborate with product and engineering teams, and ensure AI functionalities in Atlassian products. Design system architectures, conduct model evaluations, and provide guidance to emerging ML engineers.

Mid level machine learning engineer role at Instacart. Responsibilities include designing, developing, testing, and deploying machine learning models to solve customer problems and drive business forward. Requires strong programming skills and analytical abilities.

The Samsara ML Experience team is looking for an Applied Scientist to develop ML solutions that enhance the safety, efficiency, and sustainability of physical operations. Responsibilities include driving new ML initiatives, staying connected to industry and academic research, designing and optimizing services, and championing Samsara's cultural principles.

Seeking a Machine Learning Engineer to design, develop, and implement Machine Learning algorithms and models for scalable deployment. Responsibilities include collaborating with Data Scientists, integrating ML models, monitoring performance, and improving existing models. Bonus points for experience with Deep Learning models and NLP applications.

As a Staff Machine Learning Engineer at Lily AI, you will design scalable machine learning systems, optimize deep learning models, and implement best practices in ML Ops. You'll collaborate with various teams to define the ML roadmap, improve system performance, and develop tools to enhance team productivity. The role emphasizes automating workflows and transitioning prototypes to production-ready systems.

As a Machine Learning Engineer, you will enhance our content recommender system, create machine-learning features, build and deploy models, and work collaboratively with data engineers and other teams to improve performance and gather insights into customer behavior.

Build cloud-based AI/ML solutions to power intelligent enterprise services, collaborate with team to produce quality software, work with product owners to deliver high-quality solutions

The Staff ML Engineer will be responsible for driving the vision and execution of LiftIQ, a Marketing Experimentation and Optimization Platform. They will collaborate with cross functional teams, design and engineer ML platforms, and lead the development of scalable ML data products.

Senior Machine Learning Engineer specializing in Conversational AI to automate and optimize Square product features. Lead projects across various product areas, collaborate with stakeholders, drive end-to-end ML projects, and contribute to the next generation of intelligent products at Square.

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.

The Senior Machine Learning Engineer at Samsara will be responsible for developing ML solutions to enhance the safety, efficiency, and sustainability of physical operations. This remote position requires working closely with engineering teams to deliver core infrastructure and services.

As a Machine Learning Engineer at Instacart, you will develop and implement machine learning solutions to improve the ads systems, collaborating with product managers, data scientists, and engineers to meet business needs. You’ll optimize ads selection, ranking, auction, and pricing to enhance user and advertiser satisfaction while promoting Instacart's revenue.

As a Senior Machine Learning Engineer at Affirm, you will develop machine learning models for assessing creditworthiness, build training and monitoring systems, and collaborate with product and engineering teams. You'll implement data pipelines and drive innovations in credit decisioning with cutting-edge technologies.

Develop cutting-edge algorithms for airspace security using Python, OOP design patterns, and high-performance computing principles. Collaborate with academic and industry partners to deploy computer vision tracking algorithms on the edge. Utilize problem-solving skills to resolve issues in a team environment.

Lead the framing, development, and deployment at scale of machine learning models to understand the risk of various classes of businesses. Turn structured and unstructured data into novel insights about behavior and risk. Work in a two-week sprint with full ownership over projects and collaboration with Product Management and Software Engineers.