Top Machine Learning Engineer Jobs in NYC, NY

As a Senior Machine Learning Engineer, you will develop and optimize recommendation algorithms and personalization techniques for Disney's streaming services. This role involves collaboration with cross-functional teams to achieve strategic product goals, management of algorithmic work, and maintenance of production-level systems.

As a Lead Machine Learning Engineer, you will design and implement ML solutions, optimizing existing services, writing code, and managing project milestones while collaborating with engineering and product teams. This role requires leveraging ML techniques to enhance user experiences on Disney's streaming platforms.

As a Machine Learning Engineer at Gusto, you will build and deploy machine learning models to identify and mitigate risks. You will collaborate with engineering and product teams to create scalable frameworks and enhance modeling capabilities while communicating findings to stakeholders.

As a Staff Quality Engineer, you will focus on improving product quality through automated testing and collaboration within agile teams. Responsibilities include advocating for quality assurance, driving test coverage, mentoring team members, and analyzing quality metrics to support product management and development teams.

As a Senior Machine Learning Engineer on the On-Device ML team at Grammarly, you will design and build ML models, propose new features, integrate models into user interfaces, and monitor deployments through A/B testing while collaborating with core product teams.

As a Machine Learning Engineer at ZS, you'll build and monitor model pipelines, scale ML algorithms, and enhance ML engineering platforms. Responsibilities include implementing ML Ops, ensuring code quality, collaborating with teams, and researching new technologies.

You will provide technical leadership in developing and implementing machine learning applications at scale, optimizing data pipelines, and ensuring performance. Responsibilities include delivering ML models, collaborating with various teams, mentoring engineers, and focusing on continuous innovation and best practices in machine learning engineering.

The Senior Machine Learning Engineer will develop and optimize ML models for search ads, focusing on yield optimization, CTR prediction, and advertiser bidding strategies. Responsibilities include defining ML strategies, designing ML models, implementing ML pipelines, conducting A/B testing, and providing mentorship to team members.

The Lead Machine Learning Engineer will oversee the development and optimization of ML models, collaborating with multiple teams to enhance ad serving performance. Responsibilities include defining ML strategy, building models for yield optimization, managing A/B testing frameworks, and maintaining ML pipelines while mentoring the engineering team.

Senior Machine Learning Engineers at Altice USA design and implement data solutions to business challenges using AI and ML techniques. They manage projects from data collection to production, collaborating with stakeholders to ensure the developed models meet business needs while identifying opportunities for innovation through data analysis and pattern recognition.

As a Sr. Machine Learning Engineer, you will analyze complex datasets, lead the development of models and algorithms, supervise data analysis, ensure software code efficiency, manage risks in machine learning predictions, and communicate insights to senior management, fostering collaboration across teams.

The Machine Learning Infrastructure Engineer will develop and maintain scalable ML infrastructure and tools, working closely with ML Engineers, Data Engineers, and Data Scientists. Responsibilities include supporting model development and deployment, building internal training platforms for offline experimentation, and collaborating on data pipelines for real-time recommendations.

The Senior Machine Learning Engineer at Rokt will design and implement machine learning models to address business challenges. Responsibilities include user targeting, dynamic Ads content generation, and collaborating with product teams to architect AI-driven solutions while ensuring high-quality code and mentoring team members.

As a Senior Machine Learning Engineer, you will build and scale personalization and search platforms for the Max streaming app, collaborating with data science engineers and optimizing machine learning systems. You will contribute to a recommendation system, improve quality and performance, author production-level code, and support troubleshooting efforts.

The Senior Machine Learning Engineer will build and scale personalization and search platforms for the streaming app Max, collaborating with engineers and researchers to enhance recommendation systems. Responsibilities include architecting machine learning systems, improving platform performance, and contributing to code reviews and technical documentation.

The role involves building computer vision models for 3D scans, researching state-of-the-art machine learning methods, working with product and research teams to improve product lines, and implementing best practices for MLOps pipelines, all while working with large datasets.

As a Machine Learning Infra Engineer, you'll design and implement scalable MLOps pipelines, manage monorepos, develop monitoring frameworks, and collaborate with data scientists to enhance the data science platform and streamline model deployment processes.