Top Remote Machine Learning Jobs in Salt Lake City, UT

As a Senior Machine Learning Engineer, you will design, implement, and optimize ML models for ad ranking and bidding, driving value for Reddit's advertisers.

Lead the architecture and development of Reddit's ML Feature Platform, overseeing real-time feature store design, team mentorship, and infrastructure optimization.

As a Software Engineer for ML Feature Platform at Reddit, you'll architect and maintain infrastructure for ML features affecting user engagement. Responsibilities include working with large-scale systems, coding in Python, Scala, and Golang, and utilizing Kubernetes and big data technologies.

The Lead Product Manager will define and execute product strategy for Machine Learning at ClassPass, collaborating with teams to enhance business through ML applications. Responsibilities include managing product roadmap, analyzing data products, and coordinating with cross-functional teams for successful rollouts.

The Senior Product Manager will lead the development of payment systems in loan servicing, collaborating with internal teams to enhance product features and compliance, focusing on AI-driven solutions in auto finance.

Lead product strategy and execution at Findem, focusing on delivering insights and coordinating with cross-functional teams. Own the product development process and drive innovation while aligning with market needs.

As a Software Engineer Intern, you will build features for user-facing products, design data pipelines, implement scalable services, and contribute to technical documentation while being part of a collaborative team.

As a Machine Learning Engineer, you'll evaluate neural network quality, coordinate with researchers, manage experiments, and report results to streamline AI software development.

Lead the development of business models and go-to-market strategies in the Pharma commercial space, focusing on partnerships and innovative pricing.

The Enterprise Account Executive will drive new business opportunities, manage customer relationships, and engage in technical discussions with clients in the ML/AI space.

The role involves engaging with customers to provide technical guidance, supporting pre-sales activities, developing technical strategies, and managing risks while collaborating with internal teams to align solutions with customer needs.

The Staff Data Scientist will lead studies using real-world healthcare data to drive drug discovery, collaborating with cross-functional teams and generating patient-centered insights.

The role involves managing relationships with top partners, onboarding them to Runway's platform, analyzing performance, and driving business outcomes through the use of AI technologies.

Lead a team of data scientists to develop and integrate advanced machine learning models for clinical trial execution, improving trial efficiency and patient recruitment.

Manage client relationships for global enterprise clients, providing strategic consulting, performance analysis, and advocating for client needs to drive revenue growth for Pacvue.

As a Product Manager, you will own the product roadmap, ensure project execution, and facilitate collaboration among multi-disciplinary teams to drive innovation in drug discovery.

Develop, optimize, and deploy ML solutions to improve content strategy and performance at Netflix, collaborating with teams across analytics and engineering.

As a Senior Staff Machine Learning Engineer, drive AI safety initiatives, design monitoring systems, and collaborate cross-functionally to ensure robust, safe AI usage in community support products.

As a Staff Machine Learning Engineer, you will design ML systems for location analysis, collaborate with teams to integrate ML into products, and mentor others while ensuring optimal system performance and reliability.

Lead a team of ML engineers to deliver AI/ML solutions on AWS, focusing on practice strategy, operational excellence, and building partnerships.

Lead computer vision projects and develop ML models for power grid analysis while mentoring engineers and ensuring software quality standards.

As a Cloud Machine Learning Engineer at Hugging Face, you will build ML solutions leveraging cloud technologies, integrate models, design APIs, and contribute to documentation and community advocacy.

Lead the design and execution of ML-based targeting products, improving advertiser outcomes while mentoring junior engineers and collaborating with cross-functional partners.

Lead the design and architecture of GNN and transformer-based multi-entity embedding generation for Reddit's recommendation systems, collaborating across teams and optimizing machine learning pipelines.

Machine Learning Systems Engineers will develop end-to-end 3D machine learning systems, optimize training pipelines, and improve model performance within a collaborative team.