Top Remote Machine Learning Jobs
You will build Cash App's customer support chatbot, utilize smart tooling, engineering high-throughput ML models and mentor other team members. You'll work with Product, Design, and Engineering teams to enhance customer support experiences through advanced machine learning techniques.
The Staff Machine Learning Engineer will lead the development of a marketing experimentation platform, working with cross-functional teams to design scalable ML products for optimization and ROI measurement. Responsibilities include system architecture, stakeholder collaboration, and improving ML engineering practices.
The Senior Machine Learning Engineer will partner with product and marketing teams to enhance customer experiences and drive growth. Responsibilities include building and deploying machine learning models specializing in personalization for Cash App and Afterpay. The role emphasizes creativity, collaboration, and leveraging large transaction datasets for innovative AI applications.
The Senior Manager of Machine Learning Engineering will lead ML activities including designing and delivering models, collaborating with product and data science teams, maintaining production models, and building cloud-based architectures. Responsibilities also include developing optimized data pipelines and ensuring adherence to best practices in AI governance.
As a Senior Machine Learning Engineer on the Personalization team, you will leverage machine learning to enhance customer experiences and drive growth for Cash App. You will work closely with product and marketing teams to develop and deploy machine learning models tailored to customer interactions, utilizing a rich data set for personalized recommendations.
As a Senior Machine Learning Engineering Manager, you will develop and implement cutting-edge machine learning algorithms, manage the training of models, and collaborate with various teams to integrate AI functionalities into Atlassian products. Responsibilities include designing architectures, conducting experiments, and mentoring junior ML engineers.
In this role, you will design, build, and deliver machine learning models while collaborating with product and data science teams. You will solve complex problems via application code, monitor models in production, and utilize cloud-based architectures. Your responsibilities include optimizing data pipelines and ensuring best practices in AI governance.
As a Machine Learning Engineer at Curai Health, you will develop and enhance AI systems for clinician and patient applications. This includes fine-tuning large language models, designing evaluations, performing data analysis, and collaborating with diverse teams to drive innovation in ML technologies.
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As a Senior ML Engineer at Curai Health, you will develop and enhance AI systems for patient and physician applications. You will fine-tune large language models, perform model evaluations, mentor team members, and collaborate across product, engineering, and clinical teams to generate impactful machine learning solutions.
The AI Center Technical Manager will lead a team of ML engineers, focusing on AI model deployment and operationalization. Responsibilities include developing frameworks for AI operations, overseeing the deployment of ML solutions, ensuring code quality through DevSecOps, and collaborating with data engineers and scientists. The role requires hands-on coding and leadership to foster team growth and innovative AI practices.
As a Machine Learning Researcher at Curai Health, you will drive innovation in telehealth by contributing to research-focused publications and product applications in primary healthcare. Collaborating with diverse experts, you will tackle complex healthcare challenges, mentor interns, and influence the direction of machine learning practices within the company.
As a Senior Distributed Systems Engineer (Machine Learning), you will develop and maintain high-quality, scalable AI solutions and services for a Machine Learning Platform. You will collaborate with product and engineering stakeholders to understand requirements, minimize deployment risks, and integrate AI innovations into product development, ensuring the delivery of tangible business value.
In this role, you will develop AI/ML strategies to enhance customer support, lead the development of natural language processing systems, and collaborate with other teams to integrate ML capabilities into Canva's product offerings.
As a Staff Machine Learning Engineer at Canva, you'll develop AI/ML strategies to enhance customer support, lead the creation of natural language understanding systems, and collaborate with teams to leverage ML capabilities while mentoring other engineers.
As a Senior Software Engineer on the ML Platform team at Upstart, you will build and maintain software applications enabling machine learning models, develop infrastructure for model training, support automation, and collaborate with data engineers and scientists to enhance deployment processes.
As a Senior Machine Learning Engineer at Capital One, you will design and build ML models, inform infrastructure decisions, solve complex problems in collaboration with product and data science teams, and implement best practices for model governance and deployment. You'll utilize various programming languages and contribute to big data and ML applications.
As a Machine Learning Engineer at Capital One Software, you'll design and deliver ML models and components, collaborate with product and data science teams, solve complex problems with application code, and optimize data pipelines. You'll also ensure well-managed code and models, following best practices for AI.
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.
As a Staff Machine Learning Engineer, you will lead the design and development of Generative AI solutions for Firefox, focusing on building infrastructure and ensuring model performance and reliability. This role involves collaborating with cross-functional teams and mentoring junior engineers.
As a Staff Machine Learning Engineer at Handshake, you will lead a small team to enhance AI products and infrastructure, focusing on Generative AI and Recommendations. You will develop machine learning systems, design partnerships across teams, and drive technical direction while ensuring high-quality execution and user-centered solutions.
As a Senior Machine Learning Engineer, you will design data pipelines, develop machine learning models, and collaborate with various teams to integrate ML capabilities into products. You will also train others, conduct experiments to validate outcomes, and serve as a thought leader in data-driven innovations.
The Senior AI & ML Consultant will architect and implement AI and ML solutions using OpenAI and Azure ML, lead project lifecycles, develop strategic roadmaps, and facilitate workshops to enhance AI understanding among clients. The individual will address complex business needs with innovative AI solutions while ensuring fairness in AI deployment.
As a Senior Machine Learning Engineer at Enigma, you will develop scalable ML systems, enhance entity resolution algorithms, and improve machine learning infrastructure, directly impacting business decisions for customers. You will collaborate with data scientists and engineers to innovate and maintain high-performance systems.
The Machine Learning Research Scientist will develop and research state-of-the-art NLP models to enhance market research. The role involves predictive modeling, algorithm development for large-scale applications, and effective communication of technical concepts to non-technical stakeholders.
The Senior Data Scientist will support product security efforts by developing machine learning solutions, building data pipelines, and integrating models into game development while collaborating with various departments. The role involves communicating analysis results to both technical and non-technical teams.
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