Top Machine Learning Engineer Jobs
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.
Seeking a talented Machine Learning Engineer to work on innovative advertising technology, design data science programs, machine learning models, and architecture to support Generative AI.
As a Principal Machine Learning Engineer at Disney, you will design and build machine learning models, analyze data, create visualizations, and partner with stakeholders to drive engagement and performance. You will work on exciting challenges such as asset lifetime value estimation, platform performance, inventory reliability, and forecasting.
As a machine learning engineer at Tegus, you will build product features powered by machine learning on top of proprietary datasets. Your work will heavily focus on NLP and large language models. You will collaborate with product managers, engineers, and senior ML engineers to prototype, build, and release features. The qualifications include a bachelor's degree in a quantitative discipline or relevant experience, 2 years of experience in a data-intensive or machine learning role, proficiency in Python and pytorch, familiarity with docker and FastAPI, and a product-focused mindset.
Seeking a mid-level Machine Learning Engineer to design and develop Large Language Model-based systems that integrate structured and unstructured data, solve unique challenges around LLM-orchestration, and actively participate in all stages of the ML lifecycle.
Principal Machine Learning Engineer responsible for driving the technical roadmap of the Ad Ranking team at Snap Inc. Design, implement, and scale machine learning models for ad optimization and monetization strategies. Collaborate with cross-functional teams, stay updated with the latest ML technology, and provide technical direction to influence the ML community.
As a Principal ML engineer, you will work on cutting-edge algorithm development in machine learning and collaborate with other engineering teams to implement them into Grindr.
Principal Machine Learning Engineer at Snap Inc, responsible for driving the technical roadmap of the Ad Ranking team, designing and scaling machine learning models, collaborating with cross-functional teams, and providing technical direction to influence the entire ML community.
Featured 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.
As a Machine Learning Engineer on the Duo Security ML Infrastructure team, you will participate in designing and building systems to handle ML-powered applications, collaborate with various teams, and develop new data-powered products.
Machine Learning Engineer on the Duo Security ML Infrastructure team responsible for designing and building systems for ML-powered applications, collaborating with Data Science & Engineering teams, and improving Zero Trust product offerings.
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.
Design, implement, and scale critical machine learning components and services to support Snap's strategic initiatives. Build a next-generation training framework, perform model optimization, develop an AutoML platform, collaborate with teams, advocate for best practices, and provide technical direction.
The Staff Machine Learning Engineer role at Cruise involves driving applied ML research and development for challenges related to Perception and Object Tracking on urban roads. Responsibilities include exploring new algorithms, optimizing on-road performance, guiding technology choices, and enabling team effectiveness through design and code.
Design, implement, and scale critical machine learning components and services, build a next-generation training framework, optimize model performance, develop an AutoML platform, collaborate with teams, advocate for best practices, provide technical direction
Design, implement, and scale critical machine learning components and services to support Snap's strategic initiatives. Develop a next-generation training framework, build an AutoML platform, provide technical direction, and advocate for best practices in machine learning operations.
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.
Senior/Staff Machine Learning Engineer responsible for designing, building, and productionizing machine learning models to solve business challenges. Collaborates with product managers and engineers, maintains code quality, keeps track of emerging tech trends, and mentors team members.
Design, implement, and scale critical machine learning components and services, build next-generation training framework, perform model performance optimization, develop AutoML platform, collaborate with teams, provide technical direction, advocate for best practices
Principal Machine Learning Engineer at Chewy Search & Recommendations team, responsible for developing and deploying machine learning models for personalized recommendations and search for pet parents. The role involves collaborating with cross-functional teams and leading science projects from idea to deployment.
The Staff Machine Learning Engineer will be responsible for developing innovative data solutions at Chime. They will work across teams to meet the data-related needs of various business domains and provide strategic leadership. The ideal candidate will have proficiency in data analysis, statistics, machine learning, and software engineering.
As a Machine Learning Engineer at ZS, you will be responsible for building and monitoring model pipelines, scaling machine learning algorithms, enhancing ML engineering platforms, and collaborating with client teams to deliver projects.
As a Machine Learning Engineer on the Banking & SFS team, you will support fellow Data Scientists and Modelers in building and deploying machine learning models that support our banking and lending business. This is a product-focused modeling role with immediate customer and financial impact.
Seeking an experienced Machine Learning Engineer to lead ML projects and optimize algorithms for robotics applications.
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