Top Remote Machine Learning Engineer Jobs

As a Staff Machine Learning Engineer on the Bidding Policy team at Liftoff, you will work on building state-of-the-art ML models to make accurate bidding decisions in millions of auctions per second. You will have end-to-end ownership of designing and implementing reliable, scalable, and cost-efficient systems.

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. Your responsibilities will include designing system and model architectures, conducting experiments, and applying AI/ML to improve Atlassian products.

As a Staff Machine Learning Engineer at ServiceNow, you will play a major role in building AI and Machine Learning solutions to enhance user experience and workflow efficiency of enterprise services. Responsibilities include developing and implementing machine learning models, facilitating ML data preparation, and supporting the ML strategy for the Enterprise Data Platform.

Develop and train machine learning algorithms for real-time bidding, optimize machine learning infrastructure, design and execute experiments, collaborate with engineering teams to ensure a robust data pipeline.

Seeking a Principal Machine Learning Engineer to drive the development and implementation of cutting-edge machine learning algorithms for Atlassian products and services. Responsibilities include designing system and model architectures, conducting experiments, and providing guidance to ML engineers.

Drive the development and implementation of cutting edge machine learning algorithms, collaborate with teams to build transformative developer AI products, design system and model architectures, conduct model evaluations, provide guidance to emerging ML engineers, ensure AI's transformative potential is realized.

Lead the Machine Learning agenda for Dropbox's new initiatives by developing high-impact ML solutions using a variety of techniques across different platforms. Collaborate with cross-functional teams to create innovative products and shape the direction of machine learning at Dropbox.

Staff Machine Learning Engineer working on Financial Crimes Technology at Cash App, leveraging Generative AI and Machine Learning to detect illegal and suspicious activity on the platform. Responsibilities include deploying AI solutions, building classification models, leveraging diverse data sets, and working with ML Engineers to deploy models.

Join the AI Foundations team at Spring Health as a Machine Learning Engineer II to build and enhance models powering precision mental health care. Develop innovative data products to impact members positively and contribute to advancing mental health science.

Senior ML Engineer role at Grammarly's On-Device ML team responsible for proposing, designing, and implementing strategic new features using ML models to enhance writing assistance capabilities. Collaborate with core product teams, monitor deployment, and leverage academic research to advance technology.

The Machine Learning Engineer will be responsible for developing improvements to machine learning models, collaborating with cross-functional teams, advocating for product quality and security, and participating in on-call rotations for troubleshooting. They should have a Master's degree and 2+ years of ML experience, expertise in Python, and strong problem-solving skills in an agile software development environment.

Join the Creative Machine Learning team at Liftoff to work on ML models with direct business impact. Responsibilities include owning ML models, adopting new technologies, mentoring team members, monitoring latest ML research, and influencing team roadmap. Requires 8+ years of ML experience with deep neural networks, recommender systems, strong coding skills, and a degree in Machine Learning, Math, Physics, or similar. Experience with Adtech is a plus. Base salary range of $200,000 - $240,000 depending on candidate location and experience.

Design, build, evaluate, deploy, and iterate on large scale Machine Learning systems at Dropbox. Collaborate with cross-functional teams to personalize user experiences and impact millions of users. Requires BS or MS in Computer Science, 2+ years of experience, strong analytical and problem-solving skills, and proficiency in Python, C, and C++.

As a Machine Learning Engineer at Instacart, you will work on developing and deploying machine learning solutions for practical challenges in the marketplace. Collaborate with cross-functional teams to understand business needs and create impactful ML applications. Help improve operational efficiency by refining algorithms and models.

Drive the development and implementation of cutting-edge machine learning algorithms, collaborate with cross-functional teams to build transformative developer AI products, and provide guidance to emerging ML engineers.

Seeking a Senior Machine Learning Engineer to leverage AI in building tools for improved productivity and engineering velocity at Block. Responsibilities include developing a scalable AI platform, automating processes, and collaborating with diverse teams to drive AI innovation. Must have 5+ years of experience in ML model training and deployment, deep understanding of modern ML techniques, and a passion for improving internal workflows and productivity.

As a Senior Machine Learning Engineer on the ML Platform team at a leading financial services company, responsible for utilizing machine learning to enhance identity verification controls and ensure equal access to financial services. Develop risk-based experiences for customers and collaborate with cross-functional teams to build next-generation ML solutions. Design ML pipelines, prototype new approaches, and shape the long-term ML strategy for the company.