Remote Software engineering Jobs · ML

We're looking for a Machine Learning Engineer who is deeply grounded in ML theory and excited to Design and implement ML solutions from ideation to production Fine-tune and integrate LLMs Deploy and monitor LLM-powered features at scale in real-world products Collaborate with engineers and product teams to build intelligent, user-facing features Write clean, scalable code and detailed technical documentation.

We’re looking to an AI engineer to join a multidisciplinary team helping to shape our AI strategy and showcasing the potential for AI through early-stage solutions. This is an excellent opportunity to take advantage of emerging trends and technologies and make a real-world difference. The AI Engineer will design and build AI prototypes through hands-on experimentation and testing.

Brave is offering summer internships for Ph.D. level students to work on technologies that make the web faster, safer, and more private. Brave's mission is to change web advertising. Interns will tackle hard problems, building software for millions of users, and addressing challenges connected to cutting-edge academic research. Interns will be paired with a mentor and will be working alongside a larger Brave team.

Fleetio is seeking a product-minded and team-oriented Senior Software Engineer with experience in data-driven AI experimentation. This role involves shaping the company's AI strategy and building AI-powered features. As a founding member of the AI Engineering team, you'll implement new features and facilitate the adoption of AI best practices across the Product Engineering team.

Seeking a Senior Software Engineer for a Conversational AI & Agents practice to build agentic chat experiences enabling effective customer interactions. As a senior contributor, you'll own full-stack development from design to release, working with cross-functional teams to define architecture, shape product experiences, and build applications using modern best practices.

We're looking for an AI Systems Engineer to design and build the technical foundation powering 1mind's Superhumans, real-time, multimodal AI beings that communicate through audio, video, and language. You'll work across pipelines, infrastructure, and orchestration layers to make Superhumans responsive, expressive, and reliable in production environments.

You will be a technical leader, shaping best practices to build world-class, user-facing technology and mentoring fellow engineers, fostering technical growth and collaboration within the team. As a hands-on leader, you will actively contribute to the codebase and deliver features alongside your team. You’ll lead the architecture and development of high-performance platforms that unify data, learning, and delivery to power seamless, adaptive, and measurable products.

We are looking for highly capable engineers who thrive in high-ownership environments and can independently build complex systems that power next-generation AI agents. This role blends deep backend engineering, full-stack problem-solving, and hands-on work with reinforcement learning environments used by leading AI research teams.

Design and implement end-to-end document intelligence pipelines on AWS. Develop and optimize ML models for document classification, segmentation, and field extraction. Build scalable data processing systems handling PDFs up to 2000 pages. Collaborate with subject matter experts to create and refine requirements for extraction. Own features from research through production deployment and monitoring and establish evaluation frameworks.

Infuse cutting-edge AI/ML/GenAI into pharmacy benefits as a Machine Learning Engineering Manager. Lead the design and implementation of complex AI systems that leverage ML models for NLP, NLG, multimodal data analysis, chatbots, and RAG-based QnA, leading and working in a collaborative team environment creating practical, efficient, and high-performance software to build amazing capabilities for our customers, partners, and employees.