Top Machine Learning Jobs

The Senior Machine Learning & Computer Vision Engineer will lead efforts in building computer vision models for 3D dental scans, develop ML models for generative AI tasks, and collaborate with teams to enhance product offerings using massive datasets. The role emphasizes establishing best practices in MLOps and delivering rapid value to customers.

The Machine Learning Infrastructure Engineer will drive ML infrastructure and operations, collaborating with ML Engineers and Data Scientists to support model development and deployment. Key responsibilities include building scalable infrastructure for model lifecycle management, creating an internal training platform, and deploying data stores for batch pipelines and real-time recommendations.

The Principal Machine Learning Engineer will drive the development and implementation of machine learning algorithms, collaborate with product and engineering teams, design architectures, conduct experiments, and guide emerging ML engineers, ensuring the effective integration of AI across Atlassian's products and services.

The Senior Principal Machine Learning Engineer will guide the development and deployment of advanced machine learning algorithms, collaborating closely with various teams to integrate AI functionalities across Atlassian products. Responsibilities include designing system and model architectures, conducting experiments, mentoring other ML engineers, and ensuring the effective use of AI in the product suite.

As a Machine Learning Engineer on the On-Device ML team, you will design and prototype new features, build and implement ML models, collaborate with product teams, and launch and monitor model deployments, all aimed at enhancing Grammarly's writing assistance capabilities on devices.

As an Applied AI ML Senior Associate, you'll design and develop machine learning models for the card business, focusing on enhancing customer lifecycle. Collaborate with a team to implement innovative modeling solutions and drive decision-making processes while ensuring model explainability and fairness.

The AI/ML Senior Associate will develop AI/ML capabilities to enhance fraud detection, collaborate with stakeholders, implement solutions in conjunction with technology partners, and adhere to governance protocols while working in a collaborative team environment.

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.

As a Machine Learning Engineer, you will develop predictive models for manufacturing processes, work with data mining, clean data, and deploy machine learning models. You will collaborate closely with engineering teams and utilize both structured and unstructured data to enhance production systems.

Lead a team of machine learning engineers and software engineers to develop models and embedding evaluation to improve ranking for ads and content. Define architecture of the embedding platform while ensuring quality, scalability, and drive rapid iterations. Conduct design and code reviews.

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 Machine Learning Engineer at NewsBreak will innovate algorithms for ad retrieval and ranking, enhance ad quality, collaborate globally with teams, and lead projects from conception to completion.

The Senior Machine Learning Scientist will lead the development of machine learning algorithms, collaborate with cross-functional teams on data fusion problems, design neural network architectures, manage research projects, and optimize software for performance. They will also stay current on advancements in machine learning and contribute to novel algorithm development.

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.

Machine Learning Scientist specializing in Natural Language Processing (NLP) at a senior associate level. Responsibilities include researching and implementing machine learning models, collaborating with cross-functional teams, and driving firm-wide initiatives. Required qualifications include a PhD in a quantitative discipline or an MS with 3 years of industry experience, expertise in NLP and deep learning, proficiency in machine learning toolkits, and strong communication skills.

The Staff Software Engineer, Machine Learning Infrastructure will develop scalable machine learning workflows, collaborate with product teams to implement machine learning applications, and build data management systems for processing and evaluation. This role emphasizes backend infrastructure for efficient machine learning on mobile and cloud platforms.