Top Machine Learning Jobs
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.
TaskRabbit is seeking a highly motivated Senior Machine Learning Engineer with software engineering skills to drive new AI and ML initiatives within the company. The role involves building scalable ML infrastructure, optimizing algorithms, and collaborating with engineering teams to enhance business outcomes.
Lead teams to drive strategic direction through collaboration with Applied Science, Engineering, and Product leaders across Capital One. Partner with cross-functional teams to deliver AI-powered products and engage in high-impact applied research to enhance customer experiences. Build AI foundation models using a variety of technologies.
Lead Machine Learning Engineer responsible for designing, developing, and implementing ML applications at scale. Collaborate with cross-functional teams to deliver optimized ML models and systems. Ensure code quality, model governance, and best practices in Responsible and Explainable AI.
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
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.
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.
Featured Jobs
Design, develop, and program methods, processes, and systems to analyze big data sources and generate actionable insights. Collaborate with product and service teams to identify questions and issues for data analysis and experiments. Develop software programs, algorithms, and automated processes to cleanse and evaluate large datasets. Communicate insights and findings to stakeholders.
Design, build, and enhance batch and real-time inference services and tooling that support machine learning use cases. Collaborate with ML modelers to encourage adoption of new tools and technologies and plan for future needs of the ML teams.
Lead and contribute to developing and implementing machine learning models and algorithms for a tech company in the TV advertising industry, focusing on scalability, performance, and innovation. Responsibilities include designing and optimizing models, preprocessing data, deploying models, mentoring junior engineers, and collaborating with cross-functional teams. Requires 10+ years of experience in backend systems with a specialization in machine learning, a degree in Computer Science or related field, familiarity with core ML technologies, and expertise in machine learning algorithms.
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.
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.
Develop ML solutions to increase safety, efficiency, and sustainability of physical operations at Samsara. Collaborate with engineering teams and partners to deliver core infrastructure and optimizations.
Oversees end-to-end analytical projects that leverage vast amounts of structured and unstructured data to extract actionable business insights.
Looking for a Machine Learning Operations Engineer to scale and support machine learning capabilities at Squarespace. Responsibilities include deploying, monitoring, and optimizing production ML models, developing automated pipelines, and improving CI/CD practices. Bachelor's degree and experience in ML Ops required. Hybrid role based in NYC office. Competitive cash compensation range with additional benefits and perks offered.
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