Design, build, and operate scalable backend services, APIs, and data pipelines for ML-driven personalization.
Improve reliability, performance, and observability of production ML systems, including model versioning and safe rollout.
Collaborate with data scientists and product engineers to translate business needs into robust technical solutions.
Hungryroot uses AI to build a consumer-centric food and wellness company, acting as a personal assistant for healthy living by recommending and delivering healthy groceries, recipes, and supplements. They are a distributed team across 28+ US states with a remote-first culture emphasizing collaboration, flexibility, and an annual company retreat.
Own the technical strategy for the end-to-end Ads ML engineer lifecycle, focusing on feature development and training iteration.
Define architecture and technical standards for ML feature and training-data systems across batch/streaming computation, backfills, and quality.
Build platform abstractions and workflow automation to make ML development faster, safer, and more self-service.
Reddit is a community of communities built on shared interests, passion, and trust. With 100,000+ active communities and approximately 130 million daily active unique visitors, it is one of the internet's largest sources of information and has a culture of openness and authenticity.
Design, train, and improve large-scale machine learning models for recommendation and personalization, leveraging modern deep learning architectures.
Own end-to-end delivery of major ML system components, from problem framing to production rollout, with cross-functional partners.
Optimize distributed training, model efficiency, and online inference performance while ensuring low-latency, high-throughput production systems.
Reddit is a community of communities built on shared interests, passion, and trust, hosting authentic conversations. With over 100,000 active communities and about 130 million daily active users, Reddit is one of the internet's largest sources of information.
Develop tools and automate manual processes to improve operational efficiency and accelerate experimentation.
Build, integrate, and monitor end-to-end lifecycles of large-scale distributed machine learning systems.
Enhance ML pipelines for forecasting platforms with automated retraining and deployment.
Apella applies computer vision and machine learning to improve the standard of care in surgery. They are a remote-first startup focused on building reliable ML solutions for healthcare.
Drive ML strategy and roadmap for recommendation and matching systems.
Architect high-scale ML systems for real-time intent prediction and candidate ranking.
Provide org-wide technical leadership and mentor ML engineers across teams.
ZipRecruiter is a leading online employment marketplace powered by AI-driven smart matching technology. The company actively connects millions of businesses and job seekers and has the #1 rated job search app on iOS & Android.
Architect and lead the development of next-generation, large-scale machine learning techniques.
Define and execute the ML strategy, identifying opportunities to enhance personalization and recommendation quality across Reddit.
Partner with ML infrastructure teams to build high-performance, distributed training systems that efficiently scale across multiple GPUs and cloud environments.
Reddit is a community of communities, built on shared interests, passion, and trust. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information.
Design, build, and operate high-load distributed backend services powering the company's ML infrastructure.
Take end-to-end ownership of core ML services and data pipelines from design to deployment and continuous improvement.
Partner with ML and product teams to understand their needs and turn them into reliable, reusable platform capabilities.
Constructor is an AI-first e-commerce search and discovery platform that helps shoppers find products and enables brands to drive revenue. The company is fully remote, diverse, and values ownership and collaboration.
Architect and develop robust, end-to-end machine learning solutions, managing the complete ML lifecycle from development to production.
Collaborate closely with data engineers and data scientists to create highly scalable solutions and integrate them across the software development life cycle.
Evaluate cloud solutions for performance and cost-efficiency, and communicate technical concepts clearly to stakeholders and teams.
Coderio designs and delivers scalable digital solutions for global companies, combining strong technical expertise with a product mindset to lead complex software initiatives end-to-end. They work with international clients, value autonomy and clear communication, and build long-term partnerships through technical excellence.
Help define and drive the ML engineering strategy for Discovery Mode and related royalty programs.
Design, build, evaluate, ship, and refine production ML systems through hands-on development.
Provide technical leadership across complex ML initiatives and collaborate with cross-functional teams.
Spotify is the world's most popular audio streaming subscription service, focused on unlocking human creativity. With a strong emphasis on inclusivity and innovation, the company employs thousands worldwide and values diverse perspectives.
Design, build, and operate production-grade machine learning systems for retail media use cases.
Collaborate with product managers, engineers, and commercial stakeholders to translate business requirements into scalable ML solutions.
Develop robust ML pipelines and bring models into production using a cloud-based stack, ensuring reliability and observability.
Redcare Pharmacy is Europe's No.1 e-pharmacy, providing online pharmacy services. The company is powered by passionate teams and fosters a healthy, collaborative work environment.
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.
Lead, coach, and develop a multidisciplinary team across data engineering, analytics, data science, and machine learning.
Set technical direction for Kard's data platform to improve scalability, reliability, and automation.
Partner with engineering and product to integrate data and machine learning into product development and ensure go-to-market teams have accurate data.
Kard is building commerce media infrastructure that connects financial institutions, financial-services platforms, and merchants through data and merchant-funded rewards. It is a remote-first company with a small, multidisciplinary team, fostering an inclusive and dynamic work culture.
Build and improve production recommendation and ranking systems for eCommerce.
Develop personalization models across the customer journey, from candidate generation to ranking.
Design and run experiments, A/B tests, and scalable ML services.
Sweed builds an all-in-one cannabis retail platform combining POS, eCommerce, Marketing, Analytics, and Inventory Management. With over 200 team members, we're a remote-first, product-driven startup focused on simplicity, efficiency, and innovation.
Develop and iterate on underwriting prediction models using a mix of approaches for tabular and sequential data.
Build and scale feature pipelines and training datasets from proprietary and third-party signals.
Prototype new modeling ideas and features, run offline experiments, and drive the best-performing approaches into production.
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. The company is a remote-first, publicly traded organization with a strong culture focused on people come first.
Set and communicate a coherent strategy for Kard's data and platform capabilities, turning company direction into focused bets.
Lead collaborative shaping with engineering, data, and business partners through Kard's Shape Up process.
Turn transaction data, ML, and platform capabilities into products and business opportunities, including consumer and merchant intelligence.
Kard is building commerce media infrastructure that connects financial institutions, financial-services platforms, and merchants through data and merchant-funded rewards. As a remote-first team, Kard fosters an inclusive work environment and offers competitive benefits.
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.
Lead the technical vision and roadmap for the ML platform.
Partner with Product and Engineering leadership to align investments.
Establish MLOps practices and optimize large-scale model training and serving.
The hiring company builds machine learning platforms and MLOps solutions for large-scale AI development. It offers a collaborative and specialized environment with a focus on technical excellence and innovation.
Design, build, and productionize ML models for ETA prediction using regression, classification, and time-series forecasting.
Develop NLP/LLM-based extraction pipelines for message-based status updates, including text extraction and entity recognition.
Own models end-to-end from data pipeline to deployment and monitoring, turning noisy logistics data into scalable solutions.
FourKites is the leader in AI-driven supply chain transformation, providing real-time visibility and an Intelligent Control Tower that breaks down enterprise silos. The company processes over 3.2 million supply chain events daily, serving 1,600-plus global brands, and fosters a collaborative culture with a focus on diversity and inclusion.
Lead the ML strategy and architecture for Shopping Ads delivery across targeting, retrieval, ranking, conversion, and value optimization.
Own end-to-end model development from opportunity sizing to monitoring and iteration.
Drive complex initiatives requiring coordinated changes across multiple teams.
Reddit is a community of communities built on shared interests, passion, and trust, hosting open and authentic conversations. With 100,000+ active communities and 130 million daily active users, it is one of the internet's largest information sources.
Design, build, and maintain business-critical data pipelines, including data ingestion and AWS Glue/Spark jobs feeding the warehouse and Tableau.
Build and operate core data infrastructure: the data warehouse, orchestration, and BI/reporting platform, deployed across multiple regions.
Drive work across producer and consumer teams, communicate clearly, and own outcomes end to end.
Horizon3 is a fast-growing cybersecurity company that provides autonomous pentesting and assessment operations via its NodeZero platform. They are a team of former special ops and engineers, committed to a culture of respect, collaboration, ownership, and results.