Remote Software engineering Jobs • Machine Learning

The AI Engineering Leader has a pivotal role in our organization, responsible for guiding the team that develops enterprise-level solutions aimed at scaling and automating value-driven outcomes for our business. The leader will oversee all aspects of AI engineering, from conceptualization to deployment, ensuring the delivery of cutting-edge solutions that meet both business and technical requirements.

Be a technical leader within your team and within Spotify. Coordinate technical projects across teams. Facilitate collaboration with engineers, product owners, and designers to solve interesting problems for delivering various media. Architect, design, develop, and deploy ML models. Be a leader in Spotify’s ML community and work collaboratively and efficiently on existing platforms and systems.

Design, build, evaluate, and ship ML solutions in Spotify’s personalization products and collaborate with cross functional teams to build new product features that advance the mission to connect artists and fans. Prototype new approaches and productionize solutions at scale for our hundreds of millions of active users. Promote and role-model best practices of ML systems development throughout the organization and be part of an active group of machine learning practitioners.

You will be responsible for setting technical strategy for your team on a year-long time scale, and help your team tie it together with critical, business-impacting projects. By collaborating with product management, design & analytics, you will ensure technical sustainability, risks and trade-offs are well understood and managed. You will foster a culture of quality and ownership on your team.

The team is responsible for products, tools and services to manage and streamline all AI efforts at LivePerson. This is an opportunity to shape the way we do data science and build AI-based products. Topics include generative AI application building, LLM fine-tuning pipelines, feature extraction and storage, experiment tracking, transformation and training pipelines, deployment and large-scale serving of models. You will be providing engineering support for ML model development.

Our software team is growing and we are looking for a talented engineer to join our agile, world-class team. In this role you will develop manipulation behaviors and grasp planning algorithms for humanoid robots to manipulate the world around it. You will work closely with state estimation, navigation, and controls teams to execute your planning algorithms aimed at solving challenging problems in real-world deployments.

This role is pivotal in ensuring the platform's scalability and integration of cutting-edge capabilities while fostering a strong engineering culture. The Director of Engineering will oversee the development of our AI-driven research platform, integrating advanced NLP, symbolic reasoning, theorem proving, and machine learning models into a cohesive system. This role will manage a growing team of engineers, ensuring we build high-performance, scalable, and secure software systems that can accelerate scientific research.

Provide leadership to the Home product area managing engineering managers. You will be instrumental in growing the Home product area and accountable for performance and results of multiple related units/teams. Grow the technical expertise of your team around quality, scalability and performance.

Cedar is making major investments in its Operator Portal, the primary interface used by health-system employees to process payments and provide assistance to patients. The Staff Workflows team oversees development of the Operator Portal, and we are currently seeking a Software Engineer III to help us build an innovative user experience that will enable healthcare workers to serve patients more efficiently and effectively.

This role involves leading the design, development, and deployment of AI solutions to enhance customer experience, requiring a strong background in artificial intelligence and software engineering to improve customer interactions and satisfaction, with a focus on leveraging AI to better serve customers.