Own the technical vision and roadmap for ML systems powering forecasting, supply positioning, and fleet optimization.
Lead end-to-end execution of complex, cross-functional ML initiatives, from problem framing through production impact, ensuring alignment with business goals.
Mentor and develop engineers, providing technical guidance and raising the overall bar for ML and software engineering excellence.
Lime is the largest global shared micromobility business, on a mission to build a future where transportation is shared, affordable, and carbon-free. A Time Magazine 100 Most Influential Company, Lime has powered more than one billion rides in close to 30 countries across five continents, spurring a new generation of clean alternatives to car ownership.
Own ML projects end-to-end from exploration to production deployment.
Build agentic LLM systems with multi-step workflows and tool use.
Treat evaluation as core engineering work with robust testing pipelines.
We are building AI to heal billions and unlock humanity's full potential, pioneering a new approach to healthcare. With over 1 million members, 15 million AI sessions, and $500 million raised, we are defining a new standard for healthcare.
Lead the architectural design and development of scalable AI/ML pipelines for enterprise initiatives.
Provide technical leadership and mentorship to AI/ML engineers and data scientists.
Deploy and manage advanced models including LLMs and Generative AI in production environments.
They are an organization focused on delivering enterprise AI and Machine Learning solutions. They offer a fully remote, flexible work environment with a strong emphasis on professional growth and collaboration.
Own the ML/AI platform, including training infrastructure, model serving, inference pipelines, and production integrations.
Set technical direction for ML/AI architecture, tooling, standards, and strategy in partnership with data science and engineering.
Drive GenAI and LLM engineering, including RAG, prompt engineering, fine-tuning, and agentic workflows.
This company builds AI/ML infrastructure for financial technology products used by over 1,600 financial institutions. It operates as a globally distributed team with a focus on innovation and collaboration.
Design and write high-performing, scalable software for training models.
Develop new tools to support and accelerate research and LLM training.
Collaborate with engineering and scientific teams to create a strong post-training ecosystem.
Cohere is a security-first enterprise AI company building cutting-edge foundation models and end-to-end products to solve real-world business problems. They are a global team of researchers, engineers, and designers passionate about their craft, with offices in Toronto, London, New York, San Francisco, Montreal, Paris, Berlin, and Seoul.
Lead and grow a team of machine learning engineers, guiding career development, managing conflicts, and nurturing a positive work environment.
Run a portfolio of experiments, balancing near-term improvements with longer-horizon innovation bets, and make decisions on hypothesis resourcing.
Partner with Risk stakeholders to set direction from data, own delivery cadence, and represent team results to engineering leadership and the wider company.
Signifyd helps merchants grow their businesses by building trusted customer relationships through advanced technology that eliminates fraud and creates frictionless shopping experiences. The company is trusted by thousands of leading merchants across more than 100 countries, securely processing billions of transactions annually, and fosters a culture of commitment, empathy, and creativity.
Develop and ship new features for Junie across CLI and model integrations.
Experiment with model setups, ensembling, and cost efficiency strategies.
Build and test autonomous agent behaviors for long-term project maintenance.
We create intelligent software development tools for developers and teams. Over 15 million users and 300,000 companies rely on our products, and our mission is to make development teams more productive and AI adoptable at scale.
Optimize and validate targeting mechanisms for specific health conditions using classic ML.
Improve proprietary contextualization and recommendation engines handling trillions of transactions monthly.
Collaborate with internal health experts to prototype ideas for commercialization.
PulsePoint sits at the intersection of healthcare and adtech, helping brands and agencies interpret health signals by unifying digital determinants of health with real-world data. With over 300 employees and growing, they are a post-acquisition business and a leading player in the US healthcare ad market.
Own a multimodal ML work-stream from problem definition through deployment, translating clinical needs into clear ML objectives and building systems with transformers, self-supervised learning, and segmentation.
Design rigorous evaluations beyond offline metrics, partner with engineering to productionize models, and investigate failure modes like laterality errors and hallucination.
Communicate research findings clearly, mentor less experienced researchers, and contribute to the research roadmap by identifying promising approaches.
Rad AI is an AI-driven healthcare company revolutionizing radiology by saving time, reducing burnout, and improving patient care. With over $140M in funding, a valuation of $528M, and partnerships with thousands of radiologists, Rad AI is a fast-growing team of mission-driven innovators.
Design and optimize training and post-training pipelines for large language models.
Improve model quality through supervised fine-tuning, reinforcement learning, and evaluation.
Build PyTorch-based training infrastructure and optimize distributed training across multi-GPU environments.
Lightning AI builds an end-to-end platform for developing, training, and deploying AI systems, founded in 2019. They are a global company with offices in New York, San Francisco, Seattle, and London, backed by major venture capital firms, and foster a builder culture that values urgency, ownership, and open communication.
Build and maintain production-quality reference implementations and educational content for developers.
Represent the company at conferences, on livestreams, and within developer communities.
Work closely with product and engineering teams to identify friction and improve developer experience.
The company develops modern orchestration and AI technologies. It is a remote-first, high-performance environment with a focus on autonomy and developer community.
Build the data and model layer for an AI-enabled decision-support system, including ingestion, record matching, scoring, and generation.
Implement probabilistic matching, calibration, and retrieval-augmented generation in a controlled environment.
Ensure traceability, audit trails, and documentation for all data and model outputs.
DEFCON AI leverages AI, mathematical optimization, and data analytics for resilient optimization of complex systems. The team operates in a fully remote, results-based environment with a focus on innovation and collaboration.
Lead complex modeling and analytical initiatives as a technical authority.
Drive modeling strategy and raise technical standards across the organization.
Leverage deep learning and LLMs with traditional methods to deliver real impact.
Gradient AI is a decision-intelligence platform for the insurance industry, using data to reveal risk and improve performance. Backed by $56M in Series C funding, it's a fast-scaling startup with a fun, team-oriented culture.
Drive innovation across the machine learning ecosystem and architect advanced ML solutions.
Mentor junior ML engineers and lead complex ML initiatives at scale.
Own models in production including deployment, monitoring, drift detection, and retraining.
Xsolla is a global commerce company providing tools and services to help video game developers fund, distribute, market, and monetize their games. Headquartered in Los Angeles, California, Xsolla has helped over 1,500 game developers grow their businesses worldwide.
You will design the architecture for specialized subagents operating within live customer conversations, including technical QA, product expertise, and objection handling.
You will build routing and delegation systems that determine when to answer directly, invoke a subagent, or escalate to a human.
You will master the dialogue platform, train AI agents via prompting and fine-tuning, and document workflows to educate the team.
1mind builds autonomous customer experience software that deploys AI-powered 'Superhumans' to engage, demo, onboard, and support customers across the entire buying journey. The company offers a remote-first, fast-moving culture with ownership, autonomy, and impact from day one.
Own and run OpenRouter's Discord end-to-end, designing events, giveaways, and challenges to keep the community engaged and growing.
Scale community programs like contributor recognition, moderation teams, and automations to surface sentiment and trends.
Be the full-time ears of the company, feeding community insights back to product, engineering, and design teams.
OpenRouter is the open AI routing and infrastructure layer that enterprises use to access, manage, and optimize large language models across providers. The company has a thriving Discord community of over 50,000 members and operates as a fully remote, fast-growing team with a culture of autonomy and trust.
Ship reference implementations developers copy, from MCP servers with production auth to agentic workflows.
Teach people about agentic workflows through demos, posts, talks, and video.
Improve developer experience by being the first user and bringing field feedback to product teams.
Prefect builds and operates resilient, Pythonic orchestration and MCP platforms used for mission-critical workloads. They are a remote-first company with a supportive, high-performance culture.
Lead research and engineering to develop autonomous AI agents that set and execute complex goals.
Design and implement dynamic planning, memory, tool-use, and evaluation frameworks for safe agent behavior.
Collaborate with multidisciplinary teams to transition research into scalable, production-ready solutions.
Our partner is a large-scale healthcare environment focused on advancing autonomous AI systems. They are looking for a Lead Data Scientist to shape next-generation AI agents in a collaborative, remote U.S. team.
Use AI/ML expertise to solve real-world problems and develop new methods for LLM training and evaluation.
Research, propose, implement, train, and evaluate models and techniques end to end.
Build and maintain training pipelines and evaluation harnesses to ensure reproducibility and measurable progress.
ServiceNow is an AI platform company that helps organizations work smarter with AI and automation. It serves over 8,100 clients, including 85% of the Fortune 500, and fosters an AI-native culture.
Develop and deploy machine learning and AI systems.
Work with LLMs, generative AI, and modern ML frameworks.
Optimize model performance, latency, and cost.
A fast-growing technology company building critical infrastructure that powers high-volume, real-time business operations across multiple systems and platforms. It is a collaborative, fast-moving environment where engineers have meaningful influence on architecture and product direction.