Top Remote Machine Learning Engineer Jobs
This role is for a Machine Learning Engineer specializing in modeling for Cash App. Responsibilities include building machine learning models for fraud detection, customer support automation, and underwriting and credit evaluation. The company is focused on redefining the world's relationship with money through innovative financial products and experiences.
The Principal Machine Learning Engineer will be responsible for implementing machine learning features in collaboration with the Data Science and Analytics team. They will ensure the scalability and reliability of production systems and have excellent communication skills to interact with other teams. The ideal candidate will have 10+ years of experience in machine learning and a strong understanding of algorithms, model architectures, and training techniques.
At Atlassian, we are seeking a Machine Learning Engineer to work on developing and implementing cutting-edge machine learning algorithms for our products. The role involves collaborating with various teams to integrate AI functionalities into Atlassian products and services, improving product performance through AI/ML applications.
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.
The Principal Machine Learning Engineer will be responsible for implementing machine learning features and ensuring scalability and reliability of production systems. They should have extensive experience in Python and machine learning, as well as strong skills in data engineering, system design, ML Ops, and collaboration.
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Join Grammarly as a Machine Learning Engineer on the Marketing Technology team. You'll be responsible for improving data-driven decision-making, enhancing customer experiences, and optimizing marketing campaigns through the use of machine learning solutions. Collaborate with various teams to personalize marketing efforts and promote best practices in research and implementation.
Seeking a Machine Learning Architect to advance Machine Learning and Artificial Intelligence R&D strategy. Responsibilities include designing and developing AI architectures, evaluating AI technologies, collaborating across teams, and leading AI system deployment in production settings.
As a Staff Machine Learning Engineer at Personio, you will be at the forefront of shaping their Machine Learning landscape. You will provide technical leadership, guide engineers, collaborate with cross-functional teams, and write high-quality, maintainable code. You should have a strong background in Machine Learning frameworks, including Pytorch, Tensorflow, and NLP. Additionally, you should have experience building machine learning models and a proven track record of technical leadership.
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Develop robust, scalable production ML systems using Python, Tensorflow, Airflow, Kafka, PostgreSQL, Redis, and AWS. Collaborate with Data Scientists and Product Managers to deliver personalized experiences to learners at scale. Strong focus on building algorithms and frameworks for personalization capabilities.
Join Cash App's Machine Learning team to build models for fraud detection, customer support automation, and underwriting. Work on state-of-the-art algorithms, use NLP, OCR, biometric data, and advance credit solutions. Be part of a dynamic team focused on innovation and impact.
As a Machine Learning Engineer at Reddit, you will work on personalizing Reddit posts and comments for users by applying machine learning techniques. Collaborate with the Ranking Foundation and Core Experience teams to build sophisticated models and improve user experiences. Strong theoretical knowledge of machine learning concepts and software development experience is required.
Looking for an ML Engineer to construct and manage robust, scalable, and high-performance compute platforms for ML workflows. Responsible for ensuring efficient model training and integration into production, supporting autonomous vehicles at Cruise. Must have strong problem-solving skills and a bias towards action.
Looking for an ML Engineer specializing in constructing and managing robust, scalable, and high-performance compute platforms tailored for ML workflows. Collaborating closely with scientists to ensure efficient model training and integration into production environment. Responsible for reliability, cost-effectiveness, scalability, and velocity of ML models.
Seeking a highly motivated Senior Staff Machine Learning Engineer to join Taskrabbit's team and contribute to shaping the future of ML/AI. Responsibilities include designing, developing, and deploying advanced ML models, collaborating cross-functionally on ML projects, and working on modern search platforms using NLP and graph analysis.
As a Machine Learning Engineer at Stripe's Productivity ML Accelerator team, you will analyze opportunities, propose ideas, train & evaluate ML models, run experiments, and deploy solutions to production. Responsibilities include improving system performance, ensuring model quality, and evaluating Text2SQL algorithms and ML platforms.
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Join Twilio as a Machine Learning Engineer (L3) to develop, evaluate, and maintain scalable Machine Learning models within low-latency for real-time applications. Collaborate with cross-functional teams to deliver robust solutions that power user success. Build and maintain high-quality ML solutions in production, design tools for performance evaluation, and enhance productivity through software tools.
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++.
Reddit is seeking a Staff Machine Learning Engineer to enhance the home feed recommendation system and improve content discovery algorithms. The role involves building and productionizing ML models at scale, collaborating with cross-functional teams, and mentoring junior engineers.
Looking for a Senior AI Machine Learning Engineer to work with clients on developing and testing machine learning algorithms and models, analyzing data, implementing models in production environments, and maintaining documentation. Must have strong programming skills and experience with machine learning frameworks and data analysis tools.
Experiment with state-of-the-art algorithms to improve knowledge retrieval and search efficiency, develop Natural Language Processing and Gen AI models to enhance customer support, collaborate with cross-functional teams, monitor model performance, and prepare reports on trends.
Develop and implement machine learning models for fraud detection, analyze large datasets, collaborate with teams, monitor model performance, and stay updated with latest developments in machine learning and fraud detection.
Experienced Machine Learning Engineer responsible for designing, implementing, and managing ML infrastructure and processes. Collaborate with cross-functional teams to develop ML models for business decision-making. Build personalized ranking and recommendation engines for job postings and notifications at Medely.
The Staff Machine Learning Engineer at Okta will lead the development and production platforms, scale machine learning systems, and promote a data-driven culture. Responsibilities include designing infrastructure, building pipelines, collaborating with production teams, and communicating with various stakeholders.
Work as a machine learning engineer in the Applied AI and Machine Learning team. Contribute to core recommender systems and machine learning models. Opportunity to work on a large-scale machine-learning system and continuously learn and improve the solution.
Senior Machine Learning Engineer focused on designing and implementing ML systems for improving targeting products at Reddit. Responsible for executing mission to automate targeting and deliver relevant audiences to advertisers using data and ML-driven solutions.
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