Build state-of-art multimodal data mining and semantic search solutions to power AV product development.
Develop data understanding platform infrastructure for real-time querying/vector databases and batch/stream processing using technologies like Ray, Spark, Lance, or similar.
Deliver end-to-end data mining solutions that span onboard (C++) and offboard (ML & Data Infra) infrastructure to accelerate AV product development.
Design, build, and release AI products/features that solve real user problems
Design and implement streaming/batch data pipelines to support training and inference
Continuously monitor and improve the quality and performance of the systems
Insider One is a platform that integrates marketing and customer engagement tools, enabling teams to maximize their impact. With over 1,500 employees across 30+ offices, Insider One values innovation, collaboration, and social responsibility, fostering a fast-paced and agile environment.
Design scalable, future-proof data platforms optimized for AI research workloads.
Build efficient self-serve data processing pipelines leveraging GCP's advanced services.
Implement guardrails for cost, quality, and performance.
AssemblyAI is at the forefront of Speech AI, creating powerful models for speech-to-text and speech understanding via an API. They're a remote team of startup veterans and AI researchers looking to build one of the next great AI companies.
Manage, mentor, hire and grow 8+ ML Engineers and Data Engineers across three distinct teams
Be a strong technical partner for engineers to guide ML system architecture, model deployment, and data platform design & execution
Ensure ML solutions are production-grade, scalable, observable, cost effective and maintainable
Apella is applying computer vision and machine learning to improve the standard of care in surgery. They build applications to enable surgeons, nurses, and hospital administrators to deliver the highest quality care; they are committed to equal employment opportunity.
Build and own pipelines for the creation, curation, and processing of large-scale multimodal datasets.
Build and own ETL and CDC streams from Postgres and ClickHouse to analytics warehouses.
Manage production databases (Postgres, ClickHouse) and optimize for performance and reliability
Runway is building AI to simulate the world through merging art and science. They believe that world models are at the frontier of progress in artificial intelligence. The Runway team consists of creative, open minded, caring and ambitious people who are determined to change the world.
Design, build, and optimize high-performance systems in Rust supporting AI data pipelines and evaluation workflows
Develop full-stack tooling and backend services for large-scale data annotation, validation, and quality control
Improve reliability, performance, and safety across existing Rust codebases
Alignerr connects top technical experts with leading AI labs to build, evaluate, and improve next-generation models. They focus on real production systems and high-impact research workflows across data, tooling, and infrastructure.
Build the “Source of Truth” for the entire company, replacing intuition with evidence backed by real-time data.
Lead internal AI strategy, moving beyond chatbots to Agentic Workflows by building and deploying autonomous agents.
Recruit and manage a lean, elite team of 2-4 Data Engineers, Analytics Engineers, and AI Prototypers.
Armada is an edge computing startup that provides computing infrastructure to remote areas where connectivity and cloud infrastructure is limited. They're looking to bring on the most brilliant minds to help further their mission of bridging the digital divide with advanced technology infrastructure that can be rapidly deployed anywhere.
Design, build, and optimize high-performance systems in Python supporting AI data pipelines and evaluation workflows
Develop full-stack tooling and backend services for large-scale data annotation , validation, and quality control
Improve reliability, performance, and safety across existing Python codebases
Alignerr connects top technical experts with leading AI labs to build, evaluate, and improve next-generation models. We work on real production systems and high-impact research workflows across data, tooling, and infrastructure.
Improve model performance through data quality, curation, labeling, and evaluation.
Work on the data layer of Generative AI products involving images, video, or audio.
Design, build, and operate workflow orchestration systems and large-scale data processing pipelines.
Synthesia is on a mission to make video easy for everyone with their AI video communications platform. They simplify the entire video production process, making it easy for everyone to create, collaborate, and share high-quality videos, and are trusted by leading brands such as Heineken, Zoom, Xerox, and McDonald’s.
Support production systems and help triage issues during live sporting events
Architect low-latency, real-time analytics systems including raw data collection, feature development and endpoint production
Integrate large and complex real-time datasets into new consumer and enterprise products
Swish Analytics is a sports analytics, betting, and fantasy startup building the next generation of predictive sports analytics data products. They're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence.
Lead product requirements and advanced analytics requirements gathering efforts.
Work with analytics, data science, and wider engineering teams to help with automating data analysis and visualization needs.
Build a scalable technology platform to support a growing business and deliver high-quality code to production.
Achieve is a leading digital personal finance company that helps everyday people move from struggling to thriving by providing innovative, personalized financial solutions. They have over 3,000 employees in mostly hybrid and 100% remote roles across the United States with hubs in Arizona, California, and Texas and a culture of putting people first.
Data platform architecture & strategy; Envision the optimal architecture and operating model for Vibe’s data platform.
Data pipelines & processing; Design, build and operate batch and streaming data pipelines at scale.
Data availability & enablement; Make data easily accessible wherever it is needed across the company.
Vibe enables any marketer, any brand, of any size, to advertise on TV in under 5 minutes. They are a passionate, competitive bunch focused on allowing advertisers to safely and precisely reach TV audiences. Vibe achieved profitability just 18 months post launch, growing revenue by 30+% every quarter since 2022, and they’re already well on their way to reaching their 2025 goal of becoming the #1 TV Ad Platform.
Define the vision and feature set for our internal Robotics Data Platform.
Act as the Product Owner for a dedicated team of software engineers.
Participating in discussions with leading robotics labs and foundation model builders.
Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises looking to deploy advanced AI systems. Recognized by Forbes, The Information, and Fast Company among the world’s top innovators, Turing’s leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, McKinsey, Bain, Stanford, Caltech, and MIT.
Act as a solution expert across ML domains including evaluations, training, inference, data pipelines, quality, and optimisation.
Work directly alongside product teams as a trusted partner, helping them navigate technical challenges and arrive at effective solutions.
Develop blueprints, patterns, and paved roads that allow other teams to follow proven approaches and accelerate their own implementations.
Canva is a design platform that enables users to create professional designs. They have a flagship campus in Sydney, a second campus in Melbourne, and co-working spaces in other locations, with a flexible work environment.
Design, build, and optimize high-performance systems in Python supporting AI data pipelines and evaluation workflows
Develop full-stack tooling and backend services for large-scale data annotation , validation, and quality control
Improve reliability, performance, and safety across existing Python codebases
Alignerr connects top technical experts with leading AI labs to build, evaluate, and improve next-generation models. They work on real production systems and high-impact research workflows across data, tooling, and infrastructure.
Prototype new training frameworks and production-ize solutions at scale.
Design, optimize and test model integration infrastructure.
Clarifai is a leading, full-lifecycle deep learning AI platform for computer vision, natural language processing, LLM's and audio recognition. Clarifai was founded in 2013 and has employees remotely based throughout the United States, Canada, Argentina, India and Estonia.
Design agentic systems & ship AI to production: Turn prototypes into resilient, observable services with clear SLAs, rollback/fallback strategies, and cost/latency budgets.
Build tool‑using LLM “agents” (task planning, function/tool calling, multi‑step workflows, guardrails) for tasks like grant discovery, application drafting, and research assistance.
Own RAG end‑to-end: Ingest and normalize content, choose chunking/embedding strategies, implement hybrid retrieval, re‑ranking, citations, and grounding.
Instrumentl is a hyper-growth YC-backed startup that provides a SaaS platform to help nonprofits discover, track, and manage grants efficiently. They have over 4,000 nonprofit clients and are cash flow positive, doubling year-over-year, with customers who love them.
Own the end-to-end lifecycle of ML model deployment—from training artifacts to production inference services.
Design, build, and maintain scalable inference pipelines using modern orchestration frameworks (e.g., Kubeflow, Airflow, Ray, MLflow).
Implement and optimize model serving infrastructure for latency, throughput, and cost efficiency across GPU and CPU clusters.
MARA is building a modular platform that unifies IaaS, PaaS, and SaaS which will enable governments, enterprises, and AI innovators to deploy, scale, and govern workloads across data centers, edge environments, and sovereign clouds. They are redefining the future of sovereign, energy-aware AI infrastructure.
Build scalable backend services and internal APIs for the AI platform.
Integrate LLMs and retrieval into reliable, production-ready workflows.
Build knowledge ingestion pipelines for LLMs (documents, APIs, semi-structured data).
MaintainX is the world's leading Asset and Work Intelligence platform for industrial and frontline environments. It powers operational excellence for 13,000+ businesses. They recently completed a $150 million Series D round, at a valuation of $2.5 billion.
Focus on data ops, ML development pipeline, logging & aggregation.
Torc has been a leader in autonomous driving since 2007. Now a part of the Daimler family, they are focused solely on developing software for automated trucks to transform how the world moves freight. Their culture is collaborative, energetic, and team focused.
Design, build, and optimize ML models for localization using camera, LiDAR, and radar data.
Develop high-performance training and evaluation workflows, leveraging frameworks such as PyTorch.
Collaborate with robotics and mapping engineers to integrate localization models into the autonomy stack.
Torc has been a leader in autonomous driving since 2007 and is now part of the Daimler family. They are focused on developing software for automated trucks to transform how the world moves freight and have a collaborative, energetic, and team-focused culture.