Collaborate closely with business stakeholders and other engineers to deliver impactful solutions.
Integrate services and product features with databases and messaging queues.
Contribute to the development of our MLOps tools for ML models.
Trellis is rewriting the insurance experience from the inside out. They are a profitable, fast-growing Series A startup backed by General Catalyst, QED, NYCA, and Amex Ventures that brings clarity and ease to insurance shopping.
Manage a distributed team of engineers and its MLOps/Analytics portfolio
Conduct one-on-one meetings with team members
Mentor and grow your direct reports, helping them achieve their professional goals
Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, the platform for AI, IoT and the cloud, they are changing the world on a daily basis. Canonical has been a remote-first company since 2004.
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.
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.
Design and build production-grade AI systems, including RAG pipelines, multi-step agents, and LLM-powered features.
Build comprehensive evaluation and observability frameworks to measure model accuracy, grounding, and quality drift.
Create production-quality Python services to wrap AI logic into secure microservices.
League, founded in 2014, is the leading healthcare consumer experience (CX) platform powered by AI, reaching over 63 million people globally. Payers, providers, and consumer health partners use League’s platform to deliver high-engagement healthcare solutions and improve health outcomes.
Interacting with the Product Manager to review project specs
Preparing integration plans, break-downs, and estimations
Hands-on code implementation, PRs, code reviews, testing, etc.
EverAI is building the future of AI companionship, with a focus on connecting people with AI. They have 75 employees and foster a culture of ownership, velocity, and radical creativity.
Design and build AI solutions for real-world business problems.
Own the end-to-end lifecycle of AI features.
Develop and optimize LLM-based applications.
Remote People is building the infrastructure to power borderless teams. Their technology handles global payroll, benefits, taxes, and compliance, enabling businesses to hire anyone anywhere compliantly at the push of a button. They are committed to building a global, diverse team representing different and varied backgrounds, perspectives, and experiences.
Co-create evaluation frameworks, proctoring solutions, and critical security mechanisms.
Evaluate and implement state-of-the-art AI/ML techniques.
Design, build, and deploy scalable AI services and pipelines.
The company develops and scales a global Certification-as-a-Service platform that automates the entire lifecycle of professional exams. The solution enables companies and organizations to quickly and inexpensively create and administer official online exams/certifications.
Design and implement tooling that enables researchers to quickly deploy and evaluate new models in production
Design, build, and maintain high-performance, cost-efficient inference pipelines, making architectural decisions about scaling, reliability, and cost trade-offs
Proactively identify and resolve infrastructure bottlenecks, proposing and scoping improvements to iteration speed and production reliability
AssemblyAI builds best-in-class Speech AI models that power the next generation of voice applications. They are a remote team building one of the next great AI companies where teammates define and build their company culture.
Designing, developing, and deploying generative AI models.
Architecting and building agentic systems with autonomous decision-making capabilities.
Integrating generative AI and agentic solutions into existing products and services.
Jobgether leverages AI to match job seekers with roles. They use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements.