Partner with Product and Engineering to identify high-impact opportunities and define success metrics.
Lead rigorous experimentation across teams with hypothesis design, A/B testing, and clear readouts.
Build and iterate on ML/AI capabilities that ship to production, optimizing for value, latency, and cost.
Traackr is a global SaaS company providing a data-driven influencer marketing platform for marketers to optimize investments and scale programs. They are a remote-first company with offices in San Francisco, New York, Boston, Paris, and London, operating on a culture of mutual respect with core values including trust, diversity, value, ownership, and mutual success.
Design, build, and scale systems for customer-facing data products and machine learning workloads.
Collaborate with product, engineering, and cross-functional partners on complex data challenges.
Implement data quality, observability, and governance frameworks for reliable data at scale.
Boulevard provides the first and only client experience platform for appointment-based self-care businesses. The company has an insatiable curiosity and embraces experimentation, with a diverse team that values open communication and equal opportunity.
Assess current pipelines and data architecture to produce a prioritized plan for change.
Design durable data and ML systems grounded in customer needs with documented tradeoffs.
Harden pipelines, upgrade data architecture, and raise standards for observability and reliability.
FutureFit AI's core mission is to help more people get to better jobs faster and cheaper, with a focus on those facing barriers to opportunity. Their team of 30-50 across the US and Canada fosters a high trust, high intensity culture with a will to win.
Collaborate with Data Engineers to implement strategic engineering proof of concepts and contribute to technology roadmaps.
Audit datasets for accuracy and reliability, and advise on data models and algorithms for client problems.
Develop and test applications for analytics pipelines and support digital analytics implementations.
Adswerve is an award-winning data, media and tech consultancy and a leading Google and Adobe partner that helps brands and agencies unlock new opportunities for growth. Our team of 250+ employees is spread across 26 states and six countries, with a remote, team-oriented culture where everyone contributes and feels valued.
Design and build scalable ML training, deployment, and inference pipelines using CI/CD and cloud infrastructure.
Implement MLOps for model versioning, monitoring, and automated retraining to detect drift and performance degradation.
Partner with Data Scientists and Product teams to productionise models and integrate ML into customer-facing products.
We develop solutions that make an impact for companies around the globe. Our culture embraces openness, acts with respect, shows grit & guts, and combines employment with enjoyment.
Build, validate, and ship predictive models such as churn prediction, LTV forecasting, and propensity modeling end to end.
Own the full ML workflow from problem framing to production deployment and monitoring.
Partner with Product, Growth, Engineering, and Finance to turn model output into actionable recommendations.
OnHires is hiring on behalf of a remote-first B2C SaaS company with a subscription-based product that is building its data function from the ground up. The client operates under NDA at this stage, and it is a scale-up environment with a forming data team.
Own end-to-end analytical problems from framing through modeling and stakeholder rollout.
Build predictive and inferential models to improve product and operational decisions.
Partner with Product, Engineering, and Operations to define metrics and drive insights.
Focal Systems is the industry leader in retail AI solutions, using deep learning computer vision to automate and optimize brick and mortar retail. They are a tight-knit team with an ambitious mission, deployed at scale with top retailers worldwide.
Drive insight generation for complex projects and in collaboration with cross-functional teams.
Develop models of cost and quality in support of our navigation and match services.
Identify opportunities to better engage and navigate members to drive top quartile outcomes at bottom quartile costs.
Included Health delivers integrated virtual care and navigation. We break down barriers to provide high-quality care for every person in every community, offering guidance, advocacy, and access to personalized virtual and in-person care.
Design and operate core AI platform components for training, deploying, and serving ML models at scale.
Own model serving and inference workflows end-to-end, optimizing for reliability, latency, throughput, and cost.
Collaborate with product, infrastructure, and security teams to build scalable platform capabilities for AI-powered features.
Mozilla Corporation is the non-profit-backed technology company behind Firefox and Pocket, with over 225 million monthly users. A wholly-owned subsidiary of the Mozilla Foundation, the company is mission-driven, employee-owned, and focused on privacy and open standards.
Design and develop production-grade AI/ML services and web applications from proof-of-concept to scalable platforms.
Implement MLOps best practices, CI/CD pipelines, and cloud deployment for AI/ML workloads.
Collaborate with cross-functional teams to integrate AI capabilities into engineering workflows.
Cayuse Civil Services, LLC provides enterprise AI and engineering solutions for government and infrastructure clients. The company values innovation, excellence, collaboration, adaptability, and integrity, fostering a culture of teamwork and quality.
Design, train, evaluate, and ship ML systems for governance and security, starting with prompt injection detection and behavioral anomaly detection.
Build supporting infrastructure including data pipelines, feature stores, model serving, and evaluation harnesses.
Set technical direction for ML work, own architecture, evaluation methodology, and model lifecycle.
Docker provides developer tools for building, sharing, and running applications across Docker Desktop, Docker Hub, and Docker Scout. With over 20 million monthly users and a globally distributed remote-first team, Docker is trusted by solo founders to the world's largest companies.
Develop and implement scalable AI/ML solutions for generative AI models including large language models and multimodal architectures.
Design multi-year vision and shape the direction of crucial generative AI areas such as text generation, image synthesis, and personalized content.
Partner with product management and stakeholders to identify use cases, analyze patterns, and maintain compliance in healthcare AI.
Aledade is a healthcare technology company that builds web applications and data pipelines to support primary care. They are a large organization with a culture focused on engineering excellence, observability, and incremental delivery.
Build and operate the real-time inference service for the risk decision engine with low latency and high availability.
Own model deployment infrastructure including CI/CD, shadow mode, and staged rollouts.
Build model observability and partner with Risk Data Science for production operation.
Mercury is a fintech company that provides banking services for startups via partner banks. The company is committed to creating a safe environment and values diversity, with a growing team focused on innovation.
Lead and grow a cross-functional team of ML engineers, backend engineers, and data analysts.
Guide research and experimentation, balancing long-term innovation with near-term business impact.
Partner with Product and Engineering leaders to identify opportunities for increasing revenue and conversion through personalization.
Constructor is an AI-first ecommerce search and discovery platform helping shoppers find products and enabling global e-commerce brands to drive revenue and conversion. The company offers a fully remote team, unlimited vacation, and a training budget.
Design, develop, and deploy AI/ML models to automate and improve internal workflow.
Build and maintain ML pipelines within an AWS cloud environment.
Integrate ML capabilities into existing Java and React application workflows.
Oddball aims to improve daily lives by delivering quality software to the federal space. With a team of experienced engineering, product, and UX professionals, we value learning, growth, and making a big impact in a rapidly growing company.
Own and improve production AI systems, designing and deploying scalable AI/ML solutions for critical business workflows.
Build AI-powered workflow platforms using generative AI models, agent frameworks, and orchestration systems.
Design evaluation and experimentation frameworks to optimize model quality and business outcomes.
Pivotal Health is a technology platform that helps healthcare providers get paid fairly by automating reimbursement workflows. The company is a collaborative, low-ego team on a mission to make healthcare reimbursement fairer for providers, with flexibility for remote and hybrid work.
Lead analyses translating data into actionable insights for post-campaign reports.
Build and maintain tagging models using prompt engineering and traditional ML methods.
Synthesize analyses across programs to inform strategy and contribute to organic social research.
Vocal Media is a company focused on measuring the impact of digital campaigns and uncovering insights for social impact. They are a fully remote team committed to diversity and equity, with a culture that values leadership and inclusivity.
Empower ML Engineers with the tools, infrastructure, and frameworks they need to iterate fast autonomously.
Accelerate time-to-market for production-ready ML products with seamless integration and access to data and resources.
Own ML CI/CD in close collaboration with the DevExp team, adapting existing frameworks to ML-specific needs.
Dailymotion is a video platform designed to broaden users' horizons with a unique algorithm. They foster inclusivity and aim to build a better and safer Internet with cutting-edge solutions for video hosting and advertising. With 400 employees in France, New York, and Singapore, Dailymotion is shaking up the global video platform ecosystem.
Develop and improve NLP systems and language model-powered experiences.
Fine-tune and optimize language models for domain-specific use cases and build evaluation frameworks.
Deploy and maintain production-grade ML systems on GPU infrastructure with a focus on scalability and safety.
BetterHelp removes barriers to therapy and makes mental health care accessible globally. Founded in 2013, it is now the world's largest online therapy service with over 30,000 licensed therapists, and it invests deeply in employee well-being and professional development.
Lead data initiatives using machine learning and AI to optimize ad delivery and platform performance.
Design, build, and maintain scalable AWS data pipelines for ML tooling and high-velocity ad systems.
Productionize forecasting and optimization models with robust backtesting, monitoring, and guardrail systems.
AdsByNimbus is a leader in Publisher-first mobile AdTech. The team is lean, highly capable, and deeply collaborative, offering high levels of project ownership and autonomy.