Remote Software engineering Jobs • Machine Learning

This internship sits at the cutting-edge of machine learning and software engineering. As an Engineering Intern, you will be responsible for designing and developing AI and machine learning applications for our growing client base. Interns at KUNGFU.AI work on both internal and external projects and gain experience working on live client-facing projects.

As part of Beacon's analytics and machine learning domain, work alongside data scientists, neuroscientists, engineers, and clinicians to build machine and deep learning models that analyze brain and biosignal data for therapy development. Participate in algorithm development lifecycle. Enhance internal deep learning and machine learning tools to boost team efficiency.

Lead the Evaluation & Benchmarking team responsible for developing the algorithms and tools necessary to thoroughly assess the autonomy system's performance throughout development. Work closely with internal users to understand their requirements and workflows and build a long-term roadmap for the team aligned with the company's milestones. Lead technical projects contributing as an IC while also managing a team of engineers.

This is a customer facing role at the intersection of cutting-edge RL/post-training methods, applied data, and agent systems. You’ll have a direct impact on shaping how advanced models are aligned, evaluated, deployed, and used in the real world by Advancing Agent Capabilities and Building Robust Infrastructure.

Raise the technical bar for the team by setting architectural direction. Design, build and scale robust, high-throughput, low latency recommender systems that power product features used by tens of millions of users every day. Collaborate cross-functionally to shape ML-driven product roadmaps, balancing speed of iteration with long-term system complexity and scalability.

Shape how millions of drivers interact with Samsara on the road as an Edge AI engineer passionate about developing and optimizing ML models for highly constrained embedded environments. You will bridge the gap between research and production by deploying efficient, reliable, and scalable AI models that power the next generation of Samsara’s in-vehicle intelligence. In this role, you will design, optimize, and deploy computer vision and multimodal ML models.

Establish the technical vision for personalization at Launch Potato, solving the company’s most complex ML challenges and influencing strategy, architecture, and innovation across teams. Define company-wide personalization strategy and architecture, driving alignment across all ML teams. Solve critical technical challenges such as cold start, real-time learning, and exploration/exploitation tradeoffs.

Contribute to the design and development of the infrastructure responsible for operationalizing Machine Learning at Dave. You will deliver consistent, high-quality Python code for our Machine Learning Platform, including our in-house Feature Store and real-time scoring service. Collaborate closely with Data Scientists and other engineers to understand their needs and challenges, ensuring our platform is meeting their requirements.

You will own core components of our instant shopping personal intelligence, leveraging our unparalleled delivery speed. You’ll design context engineering strategies and real‑time retrieval, build SFT pipelines, and implement reinforcement learning. You’ll use relevant APIs for data augmentation and ship low‑latency, reliable inference with strong observability and safety.

This position is at the cutting-edge of machine learning and software engineering and you will be responsible for designing and developing machine learning applications for our growing client base. You should have strong programming skills and professional experience in Machine Learning, Computer Vision, Natural Language Processing, or Deep Learning. You will join a team of experienced engineers and entrepreneurs bringing practical AI solutions to the market.