Define team vision and strategic direction for conversion modeling.
Oversee model development from ideation to deployment.
Recruit, mentor, and retain top ML talent.
Reddit is a platform built on shared interests, passion, and trust, and is home to open and authentic conversations. With 100,000+ active communities and approximately 121 million daily active unique visitors, Reddit is one of the internet’s largest sources of information.
Set the technical and modeling strategy for fraud detection.
Lead a team of machine learning engineers to design, build, and iterate on high-impact fraud models.
Partner cross-functionally with Product, Fraud Analytics, Risk, and Engineering to define solutions.
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. They are a remote-first company with offices and a culture that values its employees.
Lead a high-performing Algorithms group through hiring, coaching, performance management.
Accountable for the team’s delivery against goals, ensuring alignment with strategy, regulatory requirements, and quality standards.
Help team scope out and prioritize tactical week-to-week work in direct connection with Beacon's wider strategic initiatives.
Beacon Biosignals is revolutionizing precision medicine for the brain with an at-home EEG platform. They support clinical development of novel therapeutics for neurological, psychiatric, and sleep disorders and are located in Boston, New York, and Paris.
You'll own client launches end-to-end: validating data, selecting models, running UAT, going live, and monitoring performance afterwards.
You'll join client calls, build relationships, and understand what actually matters on the ground.
You're experienced in and excited by taking a machine learning project from business idea to deployed production system.
Sona is the next generation of AI-native, frontline workforce management. They've built an end-to-end platform covering Scheduling, HR, Payroll, and Communications that gives the largest frontline organizations everything they need to staff more intelligently and empower their teams. The team has grown to 140+ and secured over $100M in funding, creating a significant impact on the company's growth trajectory and culture.
Build and ship customer‑facing AI, combining Generative AI with machine‑learning techniques.
Develop new models end-to-end, from understanding product requirements to implementation and deployment.
Create an ML Ops framework to ensure models scale effectively with proper monitoring and alerts.
Qonto is creating the leading finance workspace with banking at its core for SMEs in Europe, augmented by financial tools. Founded in 2017 by Alexandre and Steve, Qonto has grown to over 1,600 employees and serves over 600,000 customers across 8 European countries, with a culture that prioritizes customer satisfaction.
Improve customer and business outcomes through better automated decisioning, using Machine Learning and statistical modelling.
Drive innovations by identifying new opportunities of data and ML applications, and delivering business values across multiple Borrowing products.
Champion the quality and efficiency of model development, and ensure safe and scalable growth of their model portfolio.
Monzo is on a mission to make money work for everyone. They're waving goodbye to the complicated and confusing ways of traditional banking and want to solve problems and change lives through Monzo. The company cares deeply about their 15+ million customers.
Build and operate production-grade model serving infrastructure using frameworks such as vLLM, TGI, Triton, or equivalent
Design and implement robust deployment pipelines with blue/green and canary rollout strategies for ML models
Develop and maintain auto-scaling systems, multi-model serving architectures, and intelligent request routing layers
Pragmatike is recruiting on behalf of a fast-scaling, well-funded distributed cloud infrastructure startup building next-generation AI-native cloud services. The company is redefining how compute is delivered by providing GPU-powered infrastructure for AI/ML workloads, secure storage, and high-speed data transfer through a decentralized architecture that significantly reduces environmental impact compared to traditional cloud providers.
Design, prototype and productionize scalable machine learning and optimization models.
Develop frameworks, pipelines, libraries, utilities and tools that process massive data for ML tasks.
Build end-to-end reusable pipelines from data acquisition to model output delivery.
BetterHelp's mission is to remove the traditional barriers to therapy and make mental health care more accessible. Founded in 2013, they are now the world’s largest online therapy service, with over 30,000 licensed therapists.
Architect the ML Ecosystem: You will own the end-to-end lifecycle of our ML infrastructure, designing a scalable, modern environment that enables models to thrive in production.
Productionize Innovation: Partner closely with our Data Science team to take complex algorithms from the "lab" to the "real-world", building the high-performance pipelines required to scale them.
Engineer Feature Intelligence: Design and maintain both offline and online feature stores, ensuring our models have the high-quality data they need for instant decision-making.
True Accord, a wholly owned subsidiary of TrueML, combines machine learning with a human-based approach to transform debt resolution and to get people on the path towards financial health. We are a dynamic group of people who are subject matter experts with a passion for change.
Manage a team of engineers focused on building Machine Learning models.
Coach and mentor engineers of all experience levels.
Foster and grow a fun, diverse and inclusive culture that reflects Yelp’s values.
Yelp's engineering culture is cooperative and values individual authenticity, encouraging creative solutions. They aim to help users, grow as engineers, and have fun while collaborating.
Lead a US-based team to automate workflows across our SaaS platform.
Integrate advanced AI and ML solutions into our product.
Guide the technical direction of AI initiatives.
Alvys is the fastest-growing Transportation Management System (TMS) in history, revolutionizing the $800 billion US transportation logistics industry. They are building a world-class, multi-tenant SaaS platform to automate, standardize, and transform this essential sector.
Own all engineering deliverables - quality, scalability, and on-time execution.
Lead and manage the full engineering organization: AI Engineers, ML Engineers, MLOps, and Data Engineers.
Define and standardize best practices across the full AI/ML lifecycle — from experimentation through deployment and monitoring.
The Global Talent Co. connects global tech companies with global talent, believing in equal access to opportunities regardless of birthplace. They bridge the gap by finding amazing global talent for leading tech companies.
Technical Vision & Strategy: Define and own the multi-year technical roadmap for Outreach's Knowledge Graph platform, including entity resolution, temporal reasoning, graph-based learning, and contextual inference.
Team Leadership: Build, hire, and lead a team of applied scientists and research engineers. Establish team culture, research rigor, career development frameworks, and a high bar for both scientific quality and production impact.
Knowledge Graph Architecture: Drive the design of per-tenant knowledge graph schemas, ontologies, and data models tailored to the sales execution domain.
Outreach is the leading AI Sales Execution Platform that helps revenue teams work more efficiently and predictably. With over 4,000 customers, including SAP, Zoom, Adobe, American Express, Databricks, and Okta, Outreach empowers sellers and revenue leaders to close more deals by leveraging AI, automation, and deep contextual intelligence across every stage of the sales cycle.
Design the foundations and technical roadmap of the AI layer within the Hume platform.
Contribute to the codebase, setting the standard for technical excellence, performance, and scalability.
Work within a shared decision-making structure alongside Product Managers and our Chief Scientist.
GraphAware is a company striving for excellence in connected data analytics, empowering democratic government agencies. They have a motivating and supportive environment, where autonomy is balanced with accountability.
Responsible for the architecture of hybrid game and ML systems, serving as the primary contact for integrating machine learning into game systems.
Design, develop and maintain learning and non-learning systems.
Keep current on the latest developments in both ML and game technologies, identifying and exploring relevant applications for the company.
CD PROJEKT RED's mission is to create revolutionary, story-driven RPGs which go straight to the hearts of gamers. They share behind-the-scenes insights and stories direct from our team members on their social media, YouTube channel, and Beyond the Game Blog.
Design and maintain robust ML deployment pipelines to ensure seamless model delivery.
Automate model training, deployment, and monitoring workflows to increase operational efficiency.
Collaborate closely with Data Scientists and Engineering teams to integrate models into production environments.
Truelogic is a leading provider of nearshore staff augmentation services, headquartered in New York. With over 600+ highly skilled tech professionals based in Latin America, they drive digital disruption by partnering with U.S. companies on their most impactful projects.
Design, build, and iterate on machine learning models and LLM-based systems that power critical decisions across fraud, compliance, growth, and operations
Work with messy, real-world data to identify signals, build features, and continuously improve model performance
Make practical tradeoffs between model performance, interpretability, and operational cost
River is building the world’s most trusted financial institution to empower people to take ownership of their financial lives through Bitcoin. River is growing quickly and has raised more than $50 million from leading investors.
Serve as the senior-most technical expert on applying advanced AI and ML practically.
Lead in designing secure and scalable AI solutions, going beyond API integrations for competitive advantages.
Guide customers and engineering teams on best practices for high-performance training, model serving, and complex agentic systems.
Zencore is a fast-growing company established by former Google Cloud leaders, architects, and engineers. They focus on eliminating obstacles, reducing risk, and accelerating timelines for customers transitioning to Google and modernizing data and applications. They are committed to a diverse and inclusive workplace.
Build and lead an engineering team that thrives in a fast-moving agentic, AI-native world—developing engineers, creating clarity, and delivering meaningful outcomes with strong technical judgment.
Lead teams working on AI agents and agentic workflows within n8n, enabling users to orchestrate complex, multi-step automation across tools, data, and models.
Shape how LLMs, tools, APIs, and workflows come together into reliable, composable systems that users can trust in production.
n8n is the open workflow orchestration platform built for the new era of AI. They give technical teams the freedom of code with the speed of no-code, so they can automate faster, smarter, and without limits. N8n has a diverse team of over 220, working across Europe and the US, connected by a shared builder spirit and with their centre of gravity in Berlin.
Manage a team of engineers and managers responsible for Doxel’s customer-facing application.
Be a technical leader, setting the vision for the full-stack architecture and partnering closely with product managers and designers.
Organize and grow your team to meet the needs of the business and help team members progress on their career paths.
Doxel brings computer vision and AI to construction, giving teams real-time visibility into progress, risk, and execution. They are backed by Insight Partners and Andreessen Horowitz and with a rapidly growing team of engineers, scientists, construction veterans, and Enterprise go-to-market teams.