Build and own the Pricing API behind RED, ensuring fast, correct, and explainable pricing for real energy contracts.
Lead extracting pricing logic into a clean service boundary and design detection, alerting, and incident escalation that protect customers.
Raise engineering standards through design reviews, pairing, and multi-agent workflows across the Pricing squad.
Tem builds AI-native infrastructure to make electricity buying, selling, and pricing transparent and fair. Backed by a $75M Series B, we are a remote-first team serving thousands of business customers and scaling globally.
Own the backend and data-heavy systems behind the Pricing API for a modern energy transaction platform.
Lead architectural decoupling, set engineering standards, and influence technical direction across teams.
Ensure pricing reliability through monitoring, alerting, and explainability for live incidents.
They build a modern energy transaction platform focused on pricing infrastructure for real energy contracts. The team is remote-first, collaborative, and embraces AI-assisted engineering workflows to increase productivity.
Develop deep understanding of customer problems and map them to Cohere solutions as a trusted technical advisor.
Lead design and deployment of customer pilots, owning the technical narrative from discovery to business case.
Collaborate with Product and Engineering teams and partners to scale solutions and gather customer feedback.
Cohere is a leading security-first enterprise AI company building cutting-edge foundation AI models and products for real-world business problems. It is a global team of researchers, engineers, and designers headquartered in Toronto with offices worldwide, committed to driving AI adoption.
Develop and deploy full-stack ML models for financial crime detection in transaction processing and onboarding.
Own the Dynamic Risk Score (DRS) system, scoring clients daily and driving quarantine and alert decisions.
Set up monitoring and champion-challenger frameworks to ensure best models are always in production.
Finom is a European tech startup developing an all-in-one financial B2B platform integrating banking, accounting, and invoicing. With over 300 employees and a start-up culture, they prioritize innovation, swift implementation, and employee empowerment.
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.
Build and maintain production-grade machine learning infrastructure for AI governance and trust, including model serving, evaluation, and monitoring.
Develop low-latency inference systems, model registries, and evaluation pipelines for reliable model lifecycle management.
Design and implement red-team testing, drift monitoring, and continuous retraining loops using telemetry and audit data.
The company builds AI governance and trust infrastructure, including production ML systems for AI agents. It offers a remote-first, international engineering organization with a focus on security and reliability.
Establish and transform a centralized pricing operations function.
Partner with sales, finance, and product to align pricing with market dynamics.
Build and lead a high-performing pricing team with AI-assisted capabilities.
The company is a B2B technology organization focused on pricing operations and market alignment, likely within cybersecurity. It fosters a remote-first culture with an emphasis on diversity, wellbeing, and employee-led initiatives.
Design and build scalable ML and generative AI systems for customer-facing and operational use cases.
Develop end-to-end pipelines for training, deployment, and monitoring of AI solutions in production.
Collaborate with cross-functional teams to embed AI into core healthcare systems and drive technical ownership.
Redcare Pharmacy is Europe's No.1 e-pharmacy, dedicated to digital healthcare. The company fosters a collaborative environment where every employee feels valued and inspired to contribute to the vision 'Until every human has their health'.
Design and maintain the MLOps platform for experiment tracking, model registry, and CI/CD practices.\n- Productionize ML models into scalable, low-latency serving infrastructure with monitoring and rollback.\n- Automate retraining, evaluation, and deployment pipelines to reduce manual intervention.
Yuno builds payment infrastructure that connects companies to over 300 payment methods worldwide via a single API, using AI for intelligent routing and fraud prevention. It is a growing company with a global reach, founded by veterans from payments and technology, and emphasizes innovation and remote collaboration.
Build the component layer around our layout synthesis engine, including API contracts, services, and evaluation gates.
Turn model retraining into a one-command job with built-in benchmarks and readable results for the whole team.
Own latency and cost budgets for learned capabilities and partner with infrastructure engineers on MLOps and deployment.
Higharc is a VC-backed startup that is changing how new homes are designed and built using spatial AI and generative floor plan technology. The company is fully remote, has raised over $175M, and values flexibility, collaboration, and asynchronous deep work.
Define the technical roadmap for Growth and Engagement ML systems, ensuring scalability and business impact.
Architect and deploy production-grade ML pipelines and real-time decisioning systems for personalization and onboarding.
Mentor senior engineers and collaborate with Product, Data Science, and Marketing leadership to drive core metrics.
Phantom is on a mission to connect the world to the freedom of open markets, providing access to global markets that never close. With around 180 fully remote employees and backed by a $150M Series C investment from a16z, Sequoia Capital, and Paradigm, we foster a culture of innovation and inclusivity.
Develop advanced ML models and agentic workflows to accelerate model development.
Use AI-assisted tools like Claude and Cursor to investigate model behavior and automate analysis.
Set technical direction, mentor engineers, and raise the bar for modeling rigor.
Reddit is a community of communities, built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information.
Work with a cross-functional team to advance algorithmic pricing across the business.
Iteratively design a system that establishes foundational signals of supply, demand, and willingness-to-pay.
Build interpretability into the system so that price changes are explainable and consistently actioned.
PatientPoint is a leading digital health company that transforms the healthcare experience through behavior-changing content. It is the nation's largest digital network in 30,000 physician offices, with a purpose-driven culture.
Collaborate directly with customers as an embedded technical expert, designing and deploying agentic AI solutions.
Quickly understand new industries, data, and systems to identify high-value AI and agentic workflows.
Build proof-of-concepts and production solutions using MCPs, agent frameworks, and tool-using LLMs.
We are a fast-growing company that helps customers turn AI ambitions into real production outcomes. We are fully remote with a 32-hour workweek and a collaborative, trust-based culture.
Own and improve the machine learning models and systems that power the Home feed, including the Shortcuts experience.
Design, build, and ship personalized recommendations that serve millions of Spotify listeners globally.
Train, fine-tune, evaluate, and optimize large language models using techniques such as SFT, distillation, and LoRA.
Spotify is a leading audio streaming platform that connects listeners with music and podcasts. The company has thousands of employees worldwide and fosters a culture of inclusivity, creativity, and forward-thinking.
Design and maintain reliable, low-latency ML APIs to integrate Safety AI model outputs into cloud applications.
Build scalable data pipelines for continuous model iteration, backtesting, and online evaluation.
Optimize model artifacts for production and monitor rollout health, ensuring predictable failure modes.
Samsara builds a Connected Operations Cloud that helps physical operations use IoT data to improve safety, efficiency, and sustainability. Samsara is a recently public company with an employee-led remote culture and a long-term focus.
Lead the development and optimization of machine learning models to detect and prevent AI security risks like prompt injection and jailbreaks.
Build reproducible training and evaluation pipelines on Reddit's ML platform, partnering with platform engineers to improve performance and reliability.
Set the technical vision and multi-quarter modeling roadmap, mentoring engineers and establishing best practices for responsible ML development.
Reddit is a community of communities, built on shared interests and authentic conversations, with 100,000+ active communities and 130 million daily active visitors. It is one of the internet's largest sources of information, fostering a culture of openness and trust.
Build LLM-powered agents and production ML systems to automate security analysis.
Collaborate with threat-research and data engineering to turn risk identification into scalable solutions.
Own deployment, monitoring, and quality of solutions in CI/CD frameworks.
Zscaler accelerates digital transformation with its Zero Trust Exchange platform, protecting customers from cyberattacks and data loss. The company is the world's largest in-line cloud security platform, distributed across 160+ exchanges, with an AI-native culture focused on ownership, collaboration, and trust.
Own a major subsystem of a novel exploitability engine end-to-end, including design, delivery, and quality.
Drive design and code reviews, raise the engineering bar, and mentor engineers through influence.
Partner with product, security R&D, and SecOps to turn customer problems into subsystem design.
ServiceNow provides an AI platform that automates workflows to free people from busywork, serving as the AI control tower for business reinvention. It serves 85% of the Fortune 500 and fosters an AI-native culture where technology and talent are unstoppable.
Develop and evaluate quantitative models for advertising bidding, pacing, and budgeting.
Collaborate with senior scientists and engineers to translate marketplace questions into algorithms.
Implement, validate, and improve production systems for real-time decision-making.
Jobgether is an AI-powered job matching platform that connects candidates with opportunities. They use technology to streamline recruitment, but the hiring company for this role is a partner company in the advertising technology sector.