Lead and support a senior team of Data Scientists and Machine Learning Engineers, driving career development and growth.
Partner with Product Management and Decision Science to shape the product roadmap and define success metrics.
Design, build, and deploy machine-learning pipelines for modeling jobseeker behavior and marketplace dynamics.
ZipRecruiter is a leading online employment marketplace powered by AI-driven smart matching technology. The company actively connects millions of businesses and job seekers through innovative mobile, web, and email services, with the #1 rated job search app.
Design, build, and productionize machine learning and agentic AI functionality.
Partner with product engineering squads to embed AI capabilities into Arkestro's product.
Contribute to AI/ML architecture decisions and own evals and ground truth for your projects.
Arkestro's Predictive Procurement Platform applies AI, game theory, and behavioral science to enterprise negotiations, helping teams move from reactive supplier bidding to data-driven offers. It is a hyper-growth, remote-first startup with a collaborative culture focused on meaningful work and significant impact.
Own the deployment and production lifecycle of models powering product experiences and marketing workflows.
Build and maintain feature pipelines, monitoring systems, and CI/CD infrastructure for real-time inference and model health.
Collaborate with data scientists and product engineers to ship scalable ML solutions across both product and marketing use cases.
Ethos is a leading life insurance technology company on a mission to democratize access to life insurance and empower agents at scale. With a three-sided technology platform, Ethos is transforming the life insurance experience for consumers, agents, and carriers, and is publicly traded on Nasdaq.
Shape strategic direction for AI/ML initiatives across USAF and Army programs.
Bridge the gap between mission goals and engineering reality, reducing ambiguity.
Lead and mentor technical teams while ensuring operational impact on fleet maintenance.
Redhorse Corporation delivers data insights and technology solutions for missions critical to U.S. national interests. The company values thoughtful, skilled professionals who thrive as trusted partners in a collaborative, mission-driven environment.
Design and implement Python solutions using the full suite of AWS cloud computing capabilities.
Develop and iterate on AI and LLM-based workflows to reduce customer time-to-outcome.
Operate in a collaborative, agile remote environment, sharing knowledge and participating in peer code reviews.
Two Six Technologies builds, deploys, and implements innovative products that solve complex challenges, particularly in the information operations space for US government and Fortune 50 clients. The company emphasizes collaboration, trust, and pushing boundaries to empower its team and support customers in building a safer global future.
Manage and grow a team of ML engineers building credit lending models for markets across Europe and Australia.
Set technical strategy and advocate for scalable, business-impacting ML solutions in the underwriting system.
Partner with engineering, product, and risk leaders to align ML capabilities with company goals.
Affirm is a fintech company that provides clear, predictable pay-over-time solutions with no hidden fees or surprises. It is a remote-first company focused on transparency, flexibility, and employee well-being.
Build machine learning models to personalize the product and connect users with suitable insurance policies.
Collaborate with cross-functional stakeholders, write production code, and perform peer reviews.
Analyze product data, design experiments, and explore causal measurement and ML platform improvements.
The Zebra provides online tools and licensed agents to simplify car and home insurance shopping. The company has helped customers compare over 74 million quotes since 2012 and was named an Austin Business Journal's 2026 Best Place to Work, with a culture that values diversity and inclusion.
Set technical vision and strategy for foundational model and user understanding roadmap.
Collaborate cross-functionally with vertical customer, horizontal signal, and infrastructure teams.
Lead and mentor a high-performing ML team, driving technical execution from ideation to deployment.
Reddit is a community of communities built on shared interests, passion, and trust, hosting open and authentic conversations. With 100,000+ active communities and approximately 130 million daily active unique visitors, it is one of the internet's largest sources of information.
Develop, train, and optimize machine learning models using Python and common ML libraries.
Support data preprocessing, feature engineering, and CI/CD integration for scalable ML solutions.
Collaborate with data engineers and stakeholders in an Agile environment to align ML solutions with business needs.
Makpar is a professional and technical solutions provider for the Federal government, specializing in cloud engineering, data management, cybersecurity, and emerging technologies. The company's connected and engaged workforce is dedicated to delivering success for clients and the American people.
Own end-to-end ML systems from data and training to evaluation, inference, and deployment.
Build and evolve training, fine-tuning, and inference infrastructure for large models.
Partner with research and application engineering to turn model capabilities into product improvements.
Next Step Systems is an IT recruiting and staffing agency that connects companies with machine learning and technology talent. They specialize in placing candidates in remote and on-site roles across the United States and emphasize a fast-paced, results-oriented culture.
Lead hands-on data science to turn revenue opportunities into production ML systems.
Apply causal inference, experimentation, and advanced analytics to guide product decisions.
Mentor data scientists and set technical best practices in a collaborative, remote-first environment.
This company builds consumer technology products serving over 100 million monthly active users, focusing on revenue growth through personalization, experimentation, and subscriptions. It operates with a remote-first, AI-native culture that values direct communication, integrity, and high-impact execution.
Research and architect prototype solutions that leverage AI to augment existing national security tools.
Develop robust, high-quality software with automated testing in a sprint-driven cadence.
Collaborate on architectural discussions and execute priority features as an independent technical lead.
Clarity Innovations is a national security partner delivering software and data engineering solutions that modernize data operations for the IC and DoD. The company is people-focused and dedicated to being a destination employer, with a culture that values innovation, career growth, and mission-driven impact.
Build machine learning models for fraud detection using multiple sources of evidence.
Analyze large-scale datasets to discover patterns, relationships, and new signals.
Collaborate with product, fraud experts, and data engineering to ship production-ready ML.
Mitek is a global leader in digital and biometric identity authentication, fraud prevention, and mobile deposit solutions, trusted by over 7,500 organizations worldwide. Headquartered in San Diego with operations globally, the company fosters a Virtual 1st culture with flexibility, collaboration, and a mission to 'Protect What's Real.'
Drive architectural decisions across the [R]AIMS platform, balancing performance, scalability, security, and maintainability.
Lead major technical epics from conception through delivery, decomposing ambiguous problems into executable plans.
Mentor engineers, conduct design reviews, and raise technical execution across the platform.
Raft is a customer-obsessed, non-traditional defense technology company focused on AI/ML and data solutions for U.S. military and government agencies. Its culture emphasizes radical transparency, hyper-collaboration, and innovation with a mission-driven focus.
Lead technical design and architecture for Medium's ML recommendation backend.
Build and scale feature store, recommender systems, and ML Ops.
Mentor engineers and drive cross-functional technical direction.
Medium is an online publishing platform that connects millions of readers with ideas and stories. The company values engineering excellence, collaboration, and a culture of mentorship and continuous improvement.
Develop and implement data science strategies to enhance ML models for lead scoring, churn, pricing, personalization, and fraud detection.
Collaborate with engineering and business stakeholders to drive end-to-end data science initiatives from data to deployment.
Communicate findings clearly to technical and non-technical audiences for business impact.
Engine is an AI-native platform for intelligent travel, powering modern business travel with proprietary technology and supply. Serving 40,000+ customers and nearly 2 million travelers, it is recognized as a Best Place to Work with an ambitious, high-ownership culture.
Lead three highly technical teams spanning machine learning engineering, computer vision, forecasting, and data platform.
Ensure machine learning systems move reliably from research to production with measurable real-world impact.
Manage, mentor, hire, and grow the department of engineers and data engineers across three distinct teams.
Apella Technology applies machine learning to surgical healthcare operations, using computer vision and forecasting to improve clinical workflows. The company fosters a remote culture and is an equal opportunity employer, encouraging diverse backgrounds to apply.
Design and develop core software infrastructure for privacy-preserving AI evaluations using Python and secure computing technologies.
Build and maintain secure enclave solutions and Trusted Execution Environment technologies for confidential computing.
Scale the platform from initial deployment to multiple implementations, owning major engineering components and improving reliability and user experience.
This organization develops software infrastructure for privacy-preserving AI evaluations, enabling independent assessment of advanced AI models. It is a global, fully remote, mission-driven nonprofit team focused on AI safety.
Lead the design and implementation of scalable, production-grade Machine Learning systems in cloud environments.
Architect end-to-end ML solutions from data ingestion to deployment and monitoring, managing containerized workloads with Docker and Kubernetes.
Oversee large-scale data pipelines, drive model improvement, and provide technical leadership across ML initiatives.
Coforge is a global IT services company that delivers digital transformation and technology solutions. It focuses on hiring based on skills and qualifications, promoting an inclusive work culture.
Build, test, and maintain data ingestion and transformation pipelines that turn raw and synthetic data into governed, analysis-ready data products.
Extend the platform following established architecture and contribute to Terraform and CI/CD workflows.
Monitor data quality and collaborate with data science and ML teams within FedRAMP Moderate and NIST 800-171 constraints.
Peraton is a next-generation national security company that drives missions of consequence for government agencies and the U.S. armed forces. It is a large mission capability integrator and enterprise IT provider with a culture focused on solving daunting challenges and protecting people worldwide.