Design, build, and maintain scalable real-time ML services for ranking and personalization.
Analyze user behavior and run A/B tests to improve product discovery and engagement.
Collaborate with engineers, data specialists, and business stakeholders to drive measurable outcomes.
The company is an AI-driven e-commerce platform that uses machine learning to power smarter search, discovery, and shopping experiences. It maintains a collaborative, remote-first culture that values ownership, inclusion, and meaningful impact.
You will own technical delivery across federal deployments, from first prototype to stable production.
You will embed deeply with federal customers to design and build mission-critical applications powered by Deepgram's Voice AI models.
You will deploy and operate models in self-hosted, air-gapped, and edge environments, guiding stakeholders on operational value.
Deepgram is a leading Voice AI platform providing real-time APIs for speech-to-text, text-to-speech, and voice agents. With 200,000+ developers and 1,300+ organizations, Deepgram operates with an AI-first mindset and a fast-paced, innovative culture.
Build fullstack features across search, scenario mining, and agentic tooling.
Work directly with model developers and researchers to define and measure success before building.
Own features end-to-end, from shaping ideas to shipping robust, maintainable software at scale.
Wayve builds the leading AI platform for autonomous driving, using an end-to-end approach that lets vehicles learn from real-world experience. They operate across global hubs with a hybrid culture focused on innovation, ownership, and collaboration.
Own client engagements from pre-sales demonstrations through architecture, integration, implementation, and post-launch support.
Design and build production AI agent systems that connect with healthcare platforms such as EHRs, claims systems, and CRMs.
Lead technical working sessions and present solutions to executive and technical stakeholders.
This healthcare AI company deploys production AI agent systems for health systems, providers, and life sciences organizations. The team focuses on delivering client engagements and bringing field insights back to its platform.
Build a pipeline for parsing clinical documents and validating executable modules.
Design and refine a target syntax for representing guideline logic.
Run experiments across open and closed models, fine-tuning approaches, and constrained decoding.
They build a compiler that turns clinical guidelines into structured, executable decision logic for healthcare. The team is research-focused with production engineering stakes, working closely with clinicians and technical leadership.
Develop core features for prompt orchestration, dashboards, analytics, and telephony integrations.
Build scalable full-stack systems, including polished interfaces, robust APIs, and deployment workflows.
Own projects from architecture and implementation through deployment and ongoing iteration.
This YC-backed startup builds AI voice technology that helps businesses automate voice conversations. The company has a fast-paced, collaborative culture where engineers take ownership of projects.
Build the Learning Gym, a sandboxed environment for training and evaluating AI agents on real Niural workflows with ground-truth reward signals.
Engineer verifiers, run reinforcement learning loops, and establish honest baselines to prove agent improvements generalize.
Write first-author research papers and internal technical reports, and represent the work externally through preprints and talks.
Niural is a global payroll, Employer of Record (EOR), Agent of Record (AOR), and Contractor Management platform. It is a relentlessly ambitious team focused on building foundational internet infrastructure for the AI era.
Lead exploration and application of Large Language Models and Generative AI into core product lines.
Translate the latest research into high-performing systems that enhance customer experiences.
Collaborate with cross-functional teams to set strategy and deploy ML solutions with real business impact.
Replicant is the industry leader in voice AI for customer service, providing automated phone bots for enterprises like AAA and Fanatics. Founded in 2017, the company is backed by top-tier Silicon Valley investors, has offices in the SF Bay Area, Toronto, and New York, and maintains a distributed team across the US and Canada.