Sam Warwick

Member of Technical Staff - Machine Learning Infrastructure/High Performance Inference EngineI’m working with a well-funded AI research company building the technical foundations for a new class of embodied agents and digital humans - systems designed with genuine, human-like qualities that can interact, collaborate, and form real connections with people. Their long-term aim is to scale this work into multi-agent simulations and entire societies of autonomous AI entities.As their Member of Technical Staff (ML Infrastructure), you’d design and scale the platforms that make this possible - from high-performance inference engines to distributed training pipelines and large-scale compute clusters that power intelligent, interactive AI systems. You’d work closely with researchers and product engineers to push the limits of inference performance, strengthen the foundations for agentic AI, and evolve the next generation of training and post-training pipelines.Responsibilities:Accelerate research velocity by enabling SOTA experimentation from day one.Build and optimize the full model training pipeline, including data collection, data loading, SFT, and RL.Design and optimize a high-performance inference platform leveraging both open-source and proprietary engines.Develop and scale technologies for large-scale cluster scheduling, distributed training, and high-performance AI networking.Drive engineering excellence across observability, reliability, and infrastructure performance.Partner with research and product teams to turn cutting-edge ideas into robust, production-ready systems.Qualifications:Expertise in one or more of: inference engines, GPU optimization, cluster scheduling, or cloud-native infrastructure.Proficiency with modern ML frameworks such as PyTorch, vLLM, Verl, or similar.Experience building scalable, high-performance systems used in production.Start-up mindset - adaptable, fast-moving, and high-ownership.Why This Opportunity Stands Out:Elite founding team: Engineers and researchers from MIT, Stanford, Google X, Citadel, and top AI labs.Strong funding and backing: Over $40M raised from Prosus, First Spark Ventures, Patron, and notable investors including Patrick Collison and Eric Schmidt.Serious traction: Their flagship AI companion product has already achieved significant user growth and is generating real revenue.Impact and autonomy: A flat, fast-moving environment where you’ll own critical systems and ship meaningful work within weeks.Longevity in vision: This company is not chasing quick exits - they’re deliberately building what they believe will be a historical company, with long-lasting influence on how humans and AI interact.

Senior Data Scientist – Generative AI About the Company A fast-growing technology firm is transforming how the global insurance market operates by automating complex workflows across sales, servicing, and claims. Starting with cutting-edge voice automation and now expanding into full end-to-end workflow automation, the team is pushing the boundaries of reasoning agents capable of managing the entire spectrum of insurance operations. Location Boston, MA or Berkeley, CA – hybrid schedule (2 days per week in-office) The Role We are seeking an experienced Data Scientist to drive large-scale Generative AI initiatives. You will design and build advanced LLM-powered conversational pipelines and automation systems that reshape how insurance tasks are performed. This is a hands-on, strategic role for someone who can both set a high-level vision and dive into the technical details. - Key ResponsibilitiesDesign, architect, and build GenAI conversation pipelines across chat, voice and SMS using techniques such as multi-agent orchestration and retrieval-augmented generation (RAG).Develop scalable evaluation pipelines to measure the performance of enterprise-grade AI/ML solutions.Work closely with ML engineers to deploy, operate and continually optimize large-scale solutions.Collaborate with product managers to shape user journeys, design feedback loops, and analyse user telemetry.Deliver end-to-end AI/ML product experiences tailored to insurance workflows.- What We’re Looking For5+ years of industry experience delivering ML/AI solutions in production.Proven success in building and scaling GenAI or Agentic AI systems in a professional setting.Ability to think strategically while remaining hands-on with optimisation and implementation.Comfort working in a fast-moving, ambiguous environment and translating complexity into clear action.Strong communication skills for sharing innovations internally and externally.Deep understanding of machine learning algorithms and evaluation frameworks, including:Deep learning frameworksSupervised fine-tuning of LLMsPreference optimisation methods for domain adaptation in LLMsTrack record of applying trustworthy AI/ML practices in collaboration with cross-functional stakeholders.- Compensation and BenefitsCompetitive base salary (range dependent on experience)Meaningful equity participationComprehensive benefits package, including location-specific plan options

Member of Technical Staff (Frontend) - On-site (1 day WFH), Downtown Toronto, Canada | Up to CAD $300K + Equity + BenefitsAbout the Company:Our client is a fast-growing Series A startup backed by leading investors, building next-generation AI video technology. With more than 30 million users and one of the world’s largest Discord communities, they’re enabling content creators everywhere - from Hollywood studios to TikTok influencers - to bring ideas to life through controllable video generation.What We’re Looking For:We’re seeking a frontend engineer who combines solid foundations with the ability to adapt quickly to new technologies. You’ll be responsible for designing and delivering high-quality user experiences in an environment where speed and scale matter.Solid Engineering FoundationsStrong coding skills with the ability to build, refactor, and optimize complex systems. You’ll independently ship user-facing features while working closely with design and product.Exceptional Learning AbilityFrontend frameworks, developer tools, and AI integrations are evolving quickly. We’re looking for someone who thrives on picking up new technologies and finding clarity in ambiguity.Technical Focus AreasNext.js strongly preferred.Swift/iOS and React Native experience are nice-to-haves.Ability to design and scale frontend systems that serve large user bases.Bonus points for projects with significant adoption (apps launched, open-source traction) or a background in gaming/entertainment applications.Candidate Profile:1–3 years of experience post-graduation.University of Waterloo background would be highly valued.Strong problem-solving pedigree - e.g., hackathon wins, Olympiads, competitive programming, or independently launched products.Benefits & Perks:Highly competitive salary (up to CAD $300K) + equity.Health and 100% dental coverage.Relocation subsidies.Complimentary meals, snacks, and a vibrant office culture.5 days per week on-site - immerse yourself in a fast-paced, collaborative startup environment.Interview Process:Introductory call (up to 30 minutes).Technical interview with senior frontend engineers.Conversation with leadership and HR.Rare final follow-up if needed.Call Settings Override To From Record Yes No Always use these settings

Rust Engineering Manager | Remote - USA | Up to $200,000 base.We’re partnering with a rapidly scaling technology company building low-latency systems for real-time audio and video applications. Our client is at a pivotal point in their growth and is hiring a Rust Engineering Manager to lead development on performance-critical infrastructure.This is a high-impact, hands-on leadership role, ideal for someone who thrives at the intersection of systems engineering, signal processing, and technical ownership.What You'll Be Doing:Serve as the in-house Rust expert, leading development of latency-critical featuresDesign and implement real-time AV pipelines using Tokio, gRPC, and GStreamerSet architectural direction and scale systems across a modern cloud stack (AWS, Docker, Kubernetes)Collaborate with product and infrastructure teams to align engineering execution with business objectivesMentor engineers and elevate Rust capabilities across the orgContribute meaningfully to technical roadmap planning and milestone deliveryWhat Success Looks Like (First 3–6 Months):Independently deliver high-priority product milestones in RustTake ownership of low-level AV features and performance optimisationLead technical decision-making and improve cross-team development velocityEstablish yourself as the go-to authority on signal processing and Rust developmentWhat They're Looking For:Experience in backend or systems engineering rolesStrong, production-grade experience with Rust and async runtimes (Tokio)Experience with audio/video signal processing - ideally using GStreamerSolid foundation in cloud-native development using Kubernetes, Docker, and AWSExperience with gRPC, Git-based workflows, and mentoring teams in fast-moving environmentsBonus Points:Experience in AV streaming or real-time media infrastructureContributions to open-source Rust projectsThe Business:Our client is a venture-backed, product-led company operating at the edge of real-time computing and advanced media systems. The team is lean, experienced, and shipping fast - with an emphasis on quality, performance, and solving meaningful technical challenges. This is a rare opportunity to own a core technical function within a company that values engineering leadership and deep expertise.