HEY,
BOSTON

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.

Head of Machine Learning – Video Generation Bay Area, Hybrid | Up to $300K + Equity We’re building next-gen video generation models and looking for a Head of ML to lead our growing research team. You’ll define research direction, drive product integration, and scale frontier visual models into production. What you’ll do:Lead and mentor a team of 5+ ML engineers and researchersSet research roadmap and strategy for video/image generation modelsGuide end-to-end development from experimentation to deploymentCollaborate with product teams to ship scalable, high-impact featuresWhat we’re looking for:Strong background in video or image generation (diffusion, transformers, or similar)Proven ability to lead and inspire ML research teamsHands-on experience building and deploying generative models in productionPassion for pushing boundaries in visual AIA chance to shape the technical vision of a frontier AI company at the cutting edge of creativity and computation.

AI Solutions Engineer / AI Solutions Manager - Visual Generative AI$150,000 - $180,000New York - 3x days WFH We’re partnered with a pioneering enterprise-grade Visual GenAI platform that has been shaping the responsible AI landscape for over five years. Backed by leading global investors and trusted by some of the world’s largest brands, this company is building the infrastructure for the next generation of safe, scalable, and brand-consistent AI-driven products and services. Now, they’re looking for a Technical AI Solutions Engineer / Solutions Manager to help enterprise customers unlock the full value of their platform. You’ll be the bridge between customers and internal teams, ensuring adoption, ROI, and long-term success.You’ll work hands-on with developers, product managers, and technical decision-makers, helping them integrate cutting-edge generative visual AI into their workflows. Why Join?Be part of a category-defining AI company that’s shaping the future of responsible GenAI.Work with globally recognized enterprise clients across multiple industries.Have a direct impact on product evolution through customer insights.Join a team at the forefront of AI innovation with deep expertise in generative visual technologies. What You’ll Be DoingOwn the post-sales relationship with a portfolio of technical enterprise customers.Guide onboarding, technical enablement, and adoption of the platform.Act as a trusted advisor, helping customers translate technical capabilities into business impact.Work directly with client engineering teams to integrate APIs and platform capabilities.Troubleshoot across the stack (APIs, model behaviour, latency, deployment).Lead workshops, demos, and training sessions for technical stakeholders.Gather and translate customer feedback into product improvements.Collaborate with Product, Engineering, Sales, and Support to advocate for customer needs. Requirements:Must-Haves3–6 years in a SaaS technical customer-facing role (Customer Success Engineer, Solutions Engineer, or Technical Account Manager).Proficiency with API integrations, scripting (Python or JavaScript), and cloud platforms (AWS, GCP, or Azure).Strong grasp of machine learning and generative AI fundamentals, especially computer vision.Ability to translate technical capabilities into business value.Proven success supporting technical customers at a B2B SaaS or AI/ML platform company.Excellent communication, relationship management, and organizational skills.Nice-to-HavesHands-on experience with generative models (diffusion, transformers) or visual AI systems.Familiarity with MLOps workflows, model deployment, or on-device inference.Exposure to creative industries (media, marketing, design).Background in data science, software engineering, or applied AI.

Senior Product Manager (LLMs / AI Agents) $170,000 - $210,000+ (DOE) Boston, MA - Hybrid (2x days per week in-office) We’re partnered with a Series B AI company that’s reimagining how large enterprises deploy intelligent agents in regulated industries. Their platform enables Fortune 500 insurers and financial institutions to safely automate complex, multi-step workflows, from customer interactions to back-office processing, using powerful, enterprise-grade AI agents. As a Senior Product Manager, you’ll take ownership of critical parts of the roadmap shaping the next generation of AI agent technology. You’ll work at the intersection of product, engineering, and customer success, turning ideas into scalable tools that bring transparency, trust, and measurable ROI to enterprise automation. What You’ll DoDefine and deliver product features that help enterprises evaluate, supervise, and continuously improve their AI agents in production.Build intuitive AI-powered dashboards and reporting tools that offer deep visibility into performance, compliance, and customer outcomes.Partner with customers and internal teams to create agent-building experiences that feel seamless. Where configuration, testing, and deployment are guided by real-time AI assistance.Collaborate cross-functionally to launch and scale products that drive measurable value for Fortune 500 clients and high-growth startups alike.What We’re Looking For:4–7 years of relevant technical experience with at least 3 years in a PM role.Proven success shipping enterprise SaaS products, ideally in AI, data, or automation-heavy domains.Strong technical fluency, able to discuss APIs, data models, and system architecture confidently with engineering teams.Excellent communicator and collaborator, capable of influencing technical and executive stakeholders alike.Comfortable in fast-moving, high-growth environments where priorities shift and creativity thrives.Nice to Have:Experience with AI/ML platforms, contact center technology, or enterprise integrations.Previous startup or early-stage experience.Familiarity with regulated industries such as insurance, healthcare, or finance.Background in Computer Science, Engineering, or a related technical field.Apply now or reach out directly to benjamin@deeprec.ai for more details.

Machine Learning Engineer (LLM) $160,000 - $200,000+ (DOE) Boston, 2 days per week in-office We’re working a fast-growing AI company on a mission to automate complex workflows in the financial services sector, starting with insurance. Their technology leverages cutting-edge AI to simplify high-value processes, from multi-turn conversations to full workflow automation. As an ML Engineer within LLMs, you’ll be building and scaling advanced AI systems that power intelligent, multi-agent workflows. You’ll take ownership of designing, fine-tuning, and productionizing large language models, integrating them with backend systems, and optimizing their performance. You’ll collaborate closely with data science, DevOps, and leadership to shape the AI infrastructure that drives the company’s automation solutions. What You’ll Do:Build, fine-tune, and productionize large language model (LLM) pipelines, including PEFT, RLHF, and DPO workflows.Develop APIs, data pipelines, and orchestration systems for multi-agent, multi-turn AI conversations.Integrate models with backend services, including voice orchestration platforms and transcript generation.Optimize model usage and efficiency, transitioning from external APIs to in-house solutions.Collaborate cross-functionally with data scientists, DevOps, and leadership to deliver scalable machine learning solutions. What We’re Looking For:Essential Skills & Experience:Strong proficiency in Python and ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch).Hands-on experience fine-tuning LLMs (Hugging Face, PEFT).Familiarity with AWS (especially S3 for model management) and deploying ML models to production.Ability to reason deeply about ML principles, architectures, and design choices.Knowledge of multi-agent orchestration and conversational AI systems.Desirable Skills & Experience:Experience with RLHF or preference optimization.Background in voice AI, speech-to-text, or text-to-speech systems.Exposure to financial services or insurance applications.Familiarity with optimizing models for long-context scenarios. If you’d like to hear more, please apply or get in touch!

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.