Remote Data Jobs · PyTorch

Job listings

US 4w PTO

  • Design, fine-tune, and deploy language model-based solutions from research to production.
  • Build and improve GenAI pipelines including RAG, corrective RAG, and agentic orchestration.
  • Develop scalable data and embedding pipelines, and evaluate generative AI outputs against accuracy and safety standards.

Liberty Mutual is a global insurance company that builds generative AI capabilities for its products. It is a large organization with an inclusive culture that values diverse perspectives, flexibility, and professional development.

  • Develop agentic research systems to automate mechanistic model development for biochemical and physiological processes.
  • Design and train machine learning models for in-context learning and few-shot adaptation on molecular and tabular data.
  • Collaborate with chemists and biologists to drive drug discovery decisions using AI models.

PostEra is building an AI-first biotech, using its Proton AI platform to accelerate the discovery of new medicines for patients. The company has a minimalist organizational structure, celebrating individual achievement through proportional compensation and collaboration toward delivering cures.

  • Conduct applied research in machine learning, focusing on time-series forecasting and generative AI for supply chain planning.
  • Design and run experiments using real-world and benchmark datasets, evaluating models against strong baselines.
  • Collaborate with researchers and engineers to build prototypes and assess product potential for real-world applications.

Kinaxis is a global leader in modern supply chain orchestration, powering complex global supply chains with an AI-infused platform. We are a global team of over 2,000 employees with a best-in-class HQ in Ottawa, Canada, and we take our culture seriously.

UK 5w PTO

  • Train, evaluate, and iterate on ML models for customer feedback tasks with rigorous experimentation.
  • Build and maintain LLM-powered features including retrieval pipelines, reranking systems, and insight generation.
  • Contribute to evaluation frameworks, semantic search, and collaborate with engineering on model integration.

We help large brands like Uber, Amazon, and Wise put customers at the centre of everything they do using our AI-powered Customer Experience Intelligence platform. Our collaborative, growth-driven culture values trust, ownership, and humility as we build the next generation of customer feedback technology.

$180,000–$270,000/yr

  • Build and operate production ML systems for recommendations, ranking, and personalized action selection across Stripe's Growth Platform.
  • Improve contextual bandit and policy-learning approaches, including exploration, reward design, and adaptive user feedback.
  • Develop reliable data and feature pipelines, reusable tooling, and online experiments to drive measurable business outcomes.

Stripe is a financial infrastructure platform for businesses of all sizes, enabling payments and revenue growth. With millions of companies as customers, Stripe fosters a culture of passion, grit, and integrity while working to increase the GDP of the internet.

$180,000–$240,000/yr
US Unlimited PTO

  • Lead the architecture and delivery of complex data science and AI solutions on Azure, including machine learning, forecasting, and optimization.
  • Manage and mentor a Senior Data Scientist, providing technical oversight, coaching, and ensuring alignment to best practices.
  • Engage directly with clients to translate business problems into scalable, production-ready AI solutions while communicating technical concepts to non-technical stakeholders.

MCA Connect helps manufacturers succeed by unlocking innovation with actionable business insights through strategic solutions and industry intelligence. Established in 2002, the company has grown into one of the largest US-based Microsoft solution partners, with a culture that has earned them three-time Inc. Best Workplaces award.

  • Design, build, and deploy production ML and LLM-based systems for enterprise clients.
  • Own technical delivery end-to-end from architecture to deployment and iteration.
  • Mentor and support other ML engineers through code reviews and technical guidance.

TensorOps is a boutique AI consultancy that designs and ships production-grade AI systems for enterprise clients. The company has shipped AI systems impacting 200M+ end users daily, partnered with 11 unicorns, and operates fully remotely with a supportive, fast-growing culture.

  • Design and train advanced ML models (e.g., DNNs, transformers) to power Reddit Ads Ranking.
  • Develop and optimize features including embeddings, contextual signals, and cross-session behavior.
  • Mentor other MLEs and contribute to modeling best practices across the organization.

Reddit is a community of communities built on shared interests, passion, and trust. With over 100,000 active communities and approximately 130 million daily active unique visitors, it is one of the internet's largest sources of information and employs a flexible first workforce.

Germany 6w PTO

  • Develop geospatial and remote-sensing methods for change detection, object detection, and segmentation.
  • Evaluate deep learning approaches against simpler baselines for production viability.
  • Extend methods across optical, thermal, and SAR imagery.

Orcrist builds secure data intelligence software for defense, law enforcement, and enterprise teams. The company is small enough to offer a remote-first culture with close collaboration.

$0–$135,000/yr

  • Design and build AI agents and automation to solve real problems across engineering, product, and delivery.
  • Partner with stakeholders to identify high-leverage opportunities and deliver end-to-end solutions.
  • Stay current with LLM and agentic frameworks to drive innovation in healthcare technology.

HealtheDGE provides AI-powered operational infrastructure for health insurance companies, helping them modernize operations. The company is experiencing strong market momentum and invests in its people, offering a collaborative culture focused on innovation.