Execute and advance the enterprise data science and AI strategy aligned to organizational goals.
Design, develop, and deploy advanced machine learning models including predictive modeling and LLMs.
Partner with engineering teams to operationalize MLOps practices and productionize models.
Pyramid Systems is an award-winning technology leader driving digital transformation across federal agencies. Voted a Top Workplace both regionally and nationally, the company values flexible work, employee voice, and development.
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.
Design, build, and deploy AI/ML solutions from prototype to production for client business problems.
Apply generative AI and LLMs, establishing MLOps best practices including CI/CD and model monitoring.
Serve as a trusted technical advisor, translating ambiguous problems into well-scoped solutions and presenting to stakeholders.
DevIQ builds modern cloud and data solutions for mid-market companies focused on energy reduction, healthcare, education, and smart cities. The company offers competitive benefits, a strong team culture, and opportunities to work on end-to-end solutions with multi-disciplinary teams.
Build, ship, and own product features end-to-end using cutting-edge AI/ML techniques.
Apply classical ML and LLM-based approaches like RAG, prompt engineering, and fine-tuning to enhance the audit and risk platform.
Collaborate with cross-functional teams in an Agile environment to deliver scalable, production-quality code.
Optro is a leading audit, risk, ESG, and InfoSec platform trusted by over 50% of the Fortune 500. The company has been named one of the 500 fastest-growing tech companies in North America for seven consecutive years, fostering a culture of innovation and collaboration.
Train, fine-tune, and optimize large language models powering AI companion and conversational systems at scale.
Design and maintain agentic frameworks and LLM orchestration systems, including reasoning loops and chat orchestration.
Research state-of-the-art NLP techniques and implement alignment methods such as RLHF and DPO to improve model quality.
We are an AI-powered job matching platform that connects candidates with hiring companies through objective, fair review processes. As a globally distributed, innovation-focused company, we foster a collaborative engineering culture with continuous learning opportunities.
Train and fine-tune language models powering AI companions and own agent harnesses, agentic loops, and chat interface algorithms.
Build and maintain the full LLM stack from model training to production deployment while tracking cutting-edge NLP research.
Collaborate with validation, content, and dataset preparation teams to design experiments and measure model quality.
Social Discovery Group is one of the world's largest groups of social discovery companies, solving loneliness and disconnection through social entertainment platforms like DateMyAge and Dating.com. The international team of 1000+ professionals works remotely worldwide and is a two-time 'Great Place to Work' winner.
Develop and operate production-ready AI and machine learning systems for enterprise-scale products.
Build and optimize LLM-powered applications, RAG pipelines, and intelligent agents.
Implement software engineering best practices for AI development including CI/CD and testing.
Our partner is building enterprise-grade AI solutions that deliver measurable business impact. They offer a remote-friendly work environment with a collaborative engineering culture focused on innovation, quality, and continuous learning.
Own end-to-end Machine Learning (ML) system execution including data pipelines, training, and deployment.
Fine-tune and adapt models using state-of-the-art methods like LoRA and DPO.
Architect scalable inference systems and collaborate closely with application engineering.
This company develops advanced production-grade machine learning systems. The team is small and high-trust, with a culture of ownership and pragmatism.
Design, build, and deploy AI/ML solutions focused on large language models using Python and AWS.
Architect scalable APIs and microservices with FastAPI and integrate LangChain for advanced model interactions.
Collaborate with cross-functional teams to apply math, statistics, or physics knowledge to improve model performance and reliability.
Our client is a rapidly growing, venture-backed AI company helping shape the next generation of intelligent systems by combining human expertise with machine learning workflows. Backed by over $40 million in funding and a expanding global network, they build critical human intelligence infrastructure for the AI economy.
Provide technical leadership and mentorship to junior engineers on the Applied AI team.
Design and implement scalable architectures for LLM-based applications, including agents and vector databases.
Develop evaluation pipelines and prototype components to validate AI product concepts.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. They prioritize fair and efficient recruitment, fostering an inclusive and diversity-driven workplace culture.
Develop and fine-tune large language models for intelligent, safe, and responsive browser interactions.
Apply retrieval-augmented generation, summarization, classification, and intent modeling in real-world browser workflows.
Collaborate with product and engineering partners to design, iterate, and launch user-facing AI features aligned with Mozilla's values.
Mozilla Corporation is a non-profit-backed technology company that makes Firefox and Pocket, with a mission to reclaim an internet built for people. With over 225 million monthly users and a focus on AI, security, and open-source software, Mozillians work in a collaborative, mission-driven culture.
Build and iterate on consumer-facing AI features powered by large language models (LLMs) and generative AI systems
Collaborate with engineers across the AI stack including prompt engineering and agentic workflow optimization
Run structured experiments and monitor production AI systems to optimize latency, cost, and scalability
Quora is a global knowledge sharing platform with over 300M monthly unique visitors, connecting people to share insights and learn. Poe provides a platform for users to chat and build with AI language models. They are a remote-first company with a culture rooted in transparency and experimentation.
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 integrate ML, NLP, and Generative AI models to create smart collaborative solutions.
Build and optimize agentic workflows using LangChain, LangGraph, and similar frameworks.
Collaborate with engineering and product teams to deliver AI-driven features and prototype tools.
We are a technology company building next-generation AI-powered workplace assistants. Our team values innovation, engineering excellence, and continuous learning in an open and supportive environment.
Developing and iterating on embedding models for advertising use cases, from aggregation pipelines to sequence models.
Building data processing and inference pipelines and evaluating features through end-to-end experimentation.
Ensuring reliability and scalability of ML systems by writing tests, monitoring, and reviewing code.
Reddit is a platform of communities built on shared interests and authentic conversations. With over 100,000 active communities and 126 million daily active users, it is one of the largest sources of information on the internet.
Design and build core architecture for AI systems spanning multiple product areas, ensuring coherence and reuse.
Set the technical bar for the org in evaluation frameworks, testing philosophy, CI/CD for model behavior, and shared infrastructure.
Take direct ownership of the hardest, most ambiguous technical problems and build solutions end-to-end.
Twin Health empowers people to prevent and reverse chronic metabolic diseases using AI Digital Twin technology. The company is rapidly scaling across the U.S. and globally with over $100 million raised, and has been recognized as an innovator and top workplace.
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 maintain AI-powered features like LLM integrations and RAG pipelines.
Contribute to tooling for AI reliability, including observability and monitoring.
Prototype solutions quickly and work with peers to harden them for production.
Homeward creates financial products that remove uncertainty from homebuying. As a remote-first real estate startup with about 200 employees, we value the Golden Rule, One Team One Dream, and Calm Focus.
Lead the design and operation of production machine learning systems for batch and online use cases with a focus on reliability and scalability.
Build and improve ML lifecycle infrastructure including training pipelines, inference workflows, monitoring, and automation.
Partner with cross-functional teams to translate business problems into ML solutions and guide prototypes to robust production systems.
Included Health is a healthcare company delivering integrated virtual care and navigation, aiming to raise the standard of healthcare for everyone. They are a remote-first organization offering comprehensive benefits and fostering a culture of inclusion.
Build and maintain scalable machine learning solutions in production.
Train and validate deep learning and statistical models for real-world applications.
Partner with product managers and engineers to define requirements and drive ML roadmap.
Twilio is a cloud communications platform that empowers businesses to build personalized customer experiences through APIs. With thousands of employees worldwide, the company champions a remote-first culture focused on inclusion and innovation.