Design models and systems to automate and optimize claims handling.
Partner with product and engineering teams to translate claims workflows into ML solutions.
Prototype production-ready models and data pipelines.
Assured is modernizing the insurance industry by providing large insurers with software solutions. They are known for a dynamic and collaborative environment where employees can make a significant impact.
Develop and productionize machine learning (ML) solutions in the fields of Document understanding, Search and QnA, GenAI, Virtual Agents, etc.
Develop and maintain backend services using Python, focusing on AI-driven applications.
Design and implement APIs for seamless integration with AI models and services.
Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans. They are rebuilding trust in healthcare in the U.S. and deploying the infrastructure we need for the care we deserve.
Build, deploy, and maintain end-to-end machine learning models to drive personalization, recommendations, inventory optimization, and logistics.
Collaborate cross-functionally with product, engineering, and ops to translate business needs into scalable ML solutions.
Own the full ML pipeline: from data exploration and feature engineering to model training, evaluation, and productionization.
Hungryroot is using AI to build the most consumer-centric food and wellness company to ever exist. They act as your personal assistant for healthy living by recommending and delivering healthy groceries, easy recipes, and essential supplements. Hungryroot is a distributed team of top talent across 28+ U.S. states with a remote-first culture that emphasizes collaboration, team-building, and flexibility.
Design and Develop machine learning infrastructure, tooling, and models to help teams deliver world class experiences.
Help product and development teams understand the data lifecycle and the inherent experimental nature of machine learning.
Build internal products and platforms to enable teams to incorporate AI into their features and customer facing products.
Weave provides an all-in-one platform for small businesses to streamline communications, and patient experiences. The company has a phenomenal culture, and Weave's teams are cross-functional agile teams composed of a product owner, backend and frontend devs and devops.
Design, implement and validate high-reliability, distributed platforms for machine learning, natural language processing, and LLMs.
Create, debug, interpret and improve production machine learning and natural language processing models.
Build the tools and validation processes that help Counterpart translate insights into action at scale.
Counterpart Health transforms healthcare and improves patient care with its innovative primary care tool, Counterpart Assistant. They are a subsidiary of Clover Health, with an exceptional team of value-based care and technology experts, driving value-based care at the speed of software.
Architect, implement, and maintain production-grade, low-latency ML services.
Collaborate with data scientists, product managers, and engineers.
Design and support experimentation frameworks to test hypotheses and measure improvements.
Smart Working connects skilled professionals with global teams and products for full-time, long-term roles. They are one of the highest-rated workplaces on Glassdoor and value integrity, excellence, and ambition for their employees' personal and professional growth.
Conduct end-to-end analyses, wrangling data via SQL or Python, to statistical modeling, to hypothesizing and presenting business ideas.
Mentor and guide junior engineers, fostering a culture of learning and technical excellence.
Support the development and deployment of projects involving machine learned models for offline, batch-based data products as well as models deployed to online, real-time services.
Yelp's mission is connecting people with great local businesses, requiring the use of cutting-edge Machine Learning (ML) and Artificial Intelligence (AI). Their engineering culture values individual authenticity and encourages creative solutions, supporting growth in a collaborative environment.
Build and productionize reusable MLOps components supporting scalable and reliable ML workflows.
Establish strong ML lifecycle practices including experiment tracking, evaluation, and reproducibility.
Enable robust and monitored ML systems aligned with healthcare-grade reliability and compliance requirements.
Neko Health aims to shift healthcare from treating illness to preventing it, using advanced, non‑invasive technology and clinical expertise to deliver early, actionable health insights. The company has nearly 100 full-time engineers and supports a flexible workplace that prioritizes work-life balance.
Extract, clean, and structure data from internal systems
Train, evaluate, and optimise models to improve accuracy and business impact
Continuously monitor and improve model performance
Smart Working believes your job should not only look right on paper but also feel right every day. They aim to break down geographic barriers and connect skilled professionals with global teams for full-time, long-term roles where your contributions are valued.
Design, develop and deploy advanced statistical or machine learning models for high-impact business use cases.
Lead end-to-end delivery of data science initiatives from problem framing and model design through deployment.
Partner with cross-functional teams to integrate models into applications and proactively identify and solve problems.
Forward Financing is a financial technology company based in Boston, Massachusetts. They are on a mission to unlock the capital that fuels small businesses across America and they have team members throughout the United States, Dominican Republic, and Canada.
Design, develop, and enhance ML/AI models which mainly power Search and Recommendation.
Process historical data, search queries, product catalog, and images to extract hidden relations and features.
Work closely with Data Engineers and Senior Data Scientists to integrate and scale ML components to a production-level that can handle terabytes of data.
Bloomreach is building the world’s premier agentic platform for personalization, revolutionizing how businesses connect with their customers. They power personalization for more than 1,400 global brands, including American Eagle, Sonepar, and Pandora.
Design, build, and deploy production-grade machine learning models and systems at scale
Own the full ML lifecycle: from problem definition and feature engineering to training, evaluation, deployment, and monitoring
Work with large-scale datasets to improve ranking, recommendations, search relevance, prediction, content/user understanding, and optimization systems
Reddit is a community of communities built on shared interests and trust, and is home to open conversations on the internet. With 100,000+ active communities and approximately 121 million daily active unique visitors, Reddit is one of the internet’s largest sources of information.
Design and deploy machine learning, deep learning, and LLM models that will shape our customer experience, drive business growth, and improve operational efficiency.
Build intelligent AI agents that can reason, plan, and interact across workflows to enhance automation and decision-making.
Develop personalization and recommendation systems that deliver dynamic, user-centric experiences across our product offerings.
OnePay is a consumer fintech company trusted by millions of Americans. They provide an all-in-one financial services platform that brings together banking, high-yield savings, credit cards, point-of-sale lending, investing, and crypto in one place and are backed by Walmart and Ribbit Capital.
Design, develop, and deploy machine learning models for various applications.
Build and optimize automated, scalable ETL/ELT pipelines using Python, SQL, and cloud-based tools.
Create interactive dashboards and data visualizations using Tableau, Power BI, or similar platforms.
Jobgether is a platform that uses AI to match candidates with jobs, ensuring fair and objective reviews. They provide a system that identifies top candidates for hiring companies.
Contribute to designing, evaluating, and shipping our mental health AI Agent and its supporting infrastructure.
Develop and maintain robust data pipelines to power model training and evaluation.
Partner with AI Research, Product, and Engineering teams to define new features.
Sword Health is shifting healthcare from human-first to AI-first through its AI Care platform. They aim to make world-class healthcare available anytime, anywhere, while significantly reducing costs. Backed by clinical studies and patents, Sword Health has raised more than $500 million from leading investors.
Design, build, and deploy machine learning solutions for audience targeting, lookalike generation, and individual propensity scoring
Own the complete ML lifecycle - from exploratory analysis and experimentation all the way through production deployment and operational monitoring
Develop and ship production ML systems spanning self-supervised representation learning, vector similarity search, and supervised classifiers
Tunnl is leveraging AI to erase the boundaries between insights, audiences, and outcomes to ensure every piece of intelligence can be acted on. They combine the judgment of seasoned data experts with the power of artificial intelligence to help organizations find and connect with the people who matter most.
Design and implementation of reliable, maintainable, and scalable GenAI systems.
Serve as a subject matter expert for machine learning systems owned by the team.
Mentor junior and mid level engineers through code reviews and design collaboration.
Trajector specializes in medical evidence services, guiding clients through disability benefits complexities. They are a global team of over 1,800 dedicated individuals, streamlining the path to benefits and ensuring access to rightful compensation for those with disabilities.
Design and own CI/CD pipelines for ML/AI workflows.
Build and maintain scalable ML/AI infrastructure on cloud platforms.
Equip is a virtual, evidence-based eating disorder treatment program. They aim to ensure everyone can access effective treatment, operating in all 50 states and partnering with major health insurance plans, recognized for its engaged culture and sustainable treatment.
Work with designers and product managers to create high-performing product features.
Apply ML techniques to LLM-based approaches with a strong focus on reliability, performance, and maintainability.
Optro is the leading audit, risk, ESG, and InfoSec platform on the market and has surpassed $300M ARR. They inspire each other to innovate and assist each other to create the most loved platform, which has allowed them to become one of the 500 fastest-growing tech companies in North America.
Design, develop, and maintain high-performance, scalable, and secure backend services, primarily using Python and frameworks like FastAPI
Translate ambiguous business and technical requirements into concrete software designs and actionable tasks for cross-functional teams
Operate and maintain production applications at scale, ensuring high availability, performance, and reliability
SmartAsset is an online destination for consumer-focused financial information and advice, whose mission is helping people make smart financial decisions, reaching over an estimated 59 million people each month. Valued at over $1 billion, SmartAsset has earned recognition on the Inc. 5000 and Deloitte Technology Fast 500 lists.