You will experiment with emerging technologies and contribute to building new models and systems.
You will implement prototypes in Python and focus on delivering solutions to production.
You will partner with the platform engineering team to streamline MLOps workflows and maintain high code quality.
Verve creates a more efficient and privacy-focused way to buy and monetize advertising by fusing data, media, and technology. With 30 offices globally, they serve top advertisers and publishers and foster a collaborative, fun culture.
Lead the full algorithm development lifecycle for biosignal-based medical devices.
Select and implement appropriate machine learning and deep learning methods for each problem.
Present results to stakeholders and support client engagement for algorithm impact.
Beacon Biosignals is on a mission to revolutionize precision medicine for the brain using an at-home EEG platform. They have a database of nearly 100,000 patients and a culture of remote work and diversity.
Design, develop, and deploy ML models for object detection, scene understanding, and 3D asset placement
Train and fine-tune models on 3D datasets to generate realistic visualizations while preserving image fidelity
Collaborate with graphics and full-stack teams to integrate AI models into the product pipeline
Homekynd builds the spatial intelligence layer for enterprise retail, transforming photos into 3D room models for immersive furniture visualization. We are a remote-first team on a fast build timeline, seeking engineers who want real ownership over hard problems.
Conduct groundbreaking research in generative audio using diffusion or flow matching models, focusing on vocal synthesis, post-training, or editing.
Run large-scale experiments with access to Spotify’s extensive infrastructure and audience.
Collaborate with cross-functional teams to craft innovative solutions and publish findings at top conferences.
Spotify is a global music streaming platform with over 700 million monthly active users. We are an equal opportunity employer committed to inclusivity and innovation.
Build and improve ML components across data, training, evaluation, and inference.
Implement evaluation and testing to understand model behavior.
Debug model issues, performance problems, and production incidents.
This company builds core ML components for large-scale production systems. They emphasize real-world learning, iteration, and collaboration with senior engineers.
Own end-to-end Machine Learning (ML) system execution including data pipelines, training, and deployment.
Fine-tune and adapt models using state-of-the-art methods like LoRA and DPO.
Architect scalable inference systems and collaborate closely with application engineering.
This company develops advanced production-grade machine learning systems. The team is small and high-trust, with a culture of ownership and pragmatism.
Define and drive the technical roadmap for personalization and recommender systems, prioritizing items to meet business goals.
Design and lead development of software used by multiple teams, ensuring maintainability, scalability, and adaptability.
Mentor senior and mid-level scientists, setting high code quality standards and best practices for the team.
Penguin Random House is the leading adult and children's publishing house in North America, the United Kingdom, and many other regions around the world. Our vibrant and diverse international community of nearly 300 publishing brands and imprints includes Ballantine Bantam Dell, Berkley, Clarkson Potter, Crown, DK, Doubleday, and many others.
Assist engineering teams in identifying and solving challenges related to AI development, focusing on improving efficiency and usability.
Support the development and optimization of AI infrastructure, including pipelines for model training and evaluation.
Contribute to the development and improvement of centralized AI services, such as document parsing, search tools, and integration of large language models (LLMs).
Sprinto is an AI-native GRC platform that helps organisations manage risks, audits, vendor oversight, and continuous monitoring from a single connected platform. With a team of 350+ employees serving 3,000+ customers across 75+ countries, it is backed by top-tier investors such as Accel, Elevation, and Blume Ventures.
Build and maintain scalable machine learning solutions in production.
Train and validate deep learning and statistical models for real-world applications.
Partner with product managers and engineers to define requirements and drive ML roadmap.
Twilio is a cloud communications platform that empowers businesses to build personalized customer experiences through APIs. With thousands of employees worldwide, the company champions a remote-first culture focused on inclusion and innovation.
Design and evaluate reinforcement learning systems for agentic AI workflows, including RL environments, reward models, and post-training pipelines for LLM-based agents.
Develop simulation environments, reward functions, and evaluation frameworks for enterprise workflows.
Collaborate with researchers to translate research into practical enterprise solutions, with opportunities to publish and present findings.
Centific is a frontier AI data foundry that curates diverse, high-quality data to empower clients with safe, scalable AI deployment. Their team includes over 150 PhDs and data scientists, along with 4,000 AI practitioners and engineers, fostering a culture of innovation and excellence.