Build and improve ML/CV models, including retraining and optimizing for Samsara-specific problems.
Work with petabyte-scale data from camera and sensor devices to develop new models.
Partner with firmware and full-stack teams to deploy models for optimal performance and cost.
Samsara is the pioneer of the Connected Operations Cloud, enabling organizations to harness IoT data for actionable insights to improve safety, efficiency, and sustainability. As a public company with over 2.3 million IoT devices deployed globally, Samsara fosters a culture of growth mindset, inclusivity, and teamwork.
Design, develop, and deploy production machine learning models for perception systems, owning end-to-end model development.
Analyze model performance, identify failure modes, and improve robustness across diverse driving environments.
Collaborate with cross-functional teams to integrate perception models into production autonomy software.
Torc Robotics has been a leader in autonomous driving since 2007, pioneering software for self-driving vehicles. Now part of the Daimler family, they focus on developing software for automated trucks, with a collaborative and energetic culture that values diverse perspectives.
Own the autonomy software stack for MHE Vision, including perception, localization, and scanning pipelines on vehicle-mounted hardware.
Contribute to product architecture and design improvements as the system scales to more vehicle types and facility layouts.
Solve problems across the autonomy stack, improving scan accuracy through algorithmic and sensor integration enhancements.
Gather AI pioneers warehouse intelligence with a vision-powered platform using autonomous drones to digitize workflows. The company is a leader in the rapidly evolving robotics industry, focused on transforming global supply chains.
Lead the development of multimodal capabilities for next-generation AI systems.
Own the multimodality roadmap and drive adoption across AI models.
Design and execute experiments across the full research lifecycle.
They develop advanced AI systems with multimodal capabilities for software development and complex problem-solving. The team is collaborative, remote-first, and focused on innovation and research excellence.
Conduct end-to-end research and development of vision-language models, including training, evaluation, optimization, and deployment.
Design and implement advanced post-training methodologies such as supervised fine-tuning, knowledge distillation, and reinforcement learning from human feedback.
Build, curate, filter, and maintain high-quality multimodal datasets tailored to domain-specific applications.
Jobgether is an AI-powered job matching platform that connects candidates with partner companies. They prioritize objective, fair review of applications using AI, and operate with a focus on efficiency and data privacy.
Develop and refine features for deep learning models using large-scale customer and behavioral datasets.
Implement model architecture changes informed by recent academic research from venues like NeurIPS.
Optimize model training pipelines for efficiency and scalability while collaborating with client teams.
OpenTeams builds AI that empowers, offering energy-efficient and cost-effective models with a commitment to open source. The company values freedom, teamwork, accountability, and quality, and reinvests 3% of profits into the open-source community.
Own the evaluation framework and quality strategy for advanced AI and vision systems, defining pass/fail metrics and data validation loops.
Lead artifact auditing, failure taxonomy development, and release-quality reporting to translate model behavior into product decisions.
Partner with model, simulation, and platform owners to drive quality improvements and production-readiness decisions.
HERE Technologies is a location data and technology platform company that empowers customers to improve outcomes from city infrastructure to driver safety. With a global team and a focus on innovation and inclusion, they foster a collaborative culture dedicated to positive change.
Own the model strategy and technical direction for advanced generative and multimodal vision systems.
Drive model benchmarking, ablation studies, and the path from pre-trained baselines to production-ready capability.
Mentor other scientists and act as the senior technical owner for the model domain.
HERE Technologies is a location data and technology platform company that empowers customers to achieve better outcomes. As a global organization, we have a diverse team and foster a culture of innovation, opportunity, and inclusion.
Design and maintain scalable ML infrastructure including data pipelines, training workflows, and model deployment systems.
Own end-to-end ML lifecycle operations, ensuring reliable delivery of models into production at scale.
Implement monitoring, telemetry, and feedback loops for ML models running across large-scale device fleets.
Our partner company develops ML systems for connected hardware products used by customers worldwide. They operate in a fast-paced, product-driven environment with a collaborative and technically ambitious culture focused on real-world ML impact.
Build AI platform and production systems supporting computer vision, perception, simulation, and mapping products.
Own critical parts of the AI platform, including orchestration, APIs, and deployment patterns.
Partner with data scientists and simulation engineers to reduce iteration friction and design production architecture.
HERE Technologies is a location data and technology platform company that empowers customers to achieve better outcomes. The company is an equal opportunity employer with a focus on innovation and inclusion.
Work directly with top AI labs to design custom data pipelines and integrations for training and evaluation data.
Build technical infrastructure for advanced quality control workflows, including model-in-the-loop and human-in-the-loop systems.
Ship fast and iterate constantly, translating ambiguous research needs into high-leverage technical systems.
Surge AI is a platform that powers the most advanced AI models in partnership with leading AI labs like Anthropic, Google, Microsoft, and Meta. Founded by engineers and researchers, the company is profitable from day one without venture funding.
Train, evaluate, and iterate on ML models for customer feedback, including custom fine-tuning pipelines.
Build and maintain LLM-powered features like retrieval pipelines and insight agents.
Design and run robust evaluation frameworks to measure model performance.
Chattermill helps large brands like Uber, Amazon, and Wise put customers at the center using AI. They offer a flexible, trust-based culture with a choice-first environment.
Lead the technical evolution of the GTM strategy by building AI-first systems and automated workflows.
Architect production-grade AI models, data pipelines, and consumption forecasting engines.
Collaborate with executive leaders to implement scalable data models and self-serve tooling across the enterprise.
Samsara is the pioneer of the Connected Operations Cloud, helping organizations harness IoT data to improve safety, efficiency, and sustainability. With over 2.3 million IoT devices deployed and a global workforce of ~1,500, the company fosters a growth mindset and inclusive culture.
Design, build, and deploy production ML and LLM-based systems (RAG, agentic workflows, fine-tuning, embeddings) for enterprise clients.
Own technical delivery end-to-end: from architecture and prototyping to deployment, monitoring, and iteration.
Mentor and support other ML engineers on the team with code reviews, technical guidance, and knowledge sharing.
TensorOps is a boutique AI consultancy that bridges strategy and execution, designing and shipping production-grade AI systems for enterprise clients. We are a 100% remote team of 11+ people, partnering with unicorns and NASDAQ-listed companies, and have a culture of autonomy, open communication, and continuous learning.
Design and build production-grade ML inference infrastructure using frameworks like vLLM and Triton.
Optimize GPU utilization, memory efficiency, and model artifact storage for cost-effective performance.
Collaborate with infrastructure and AI teams to establish engineering best practices and scalable platform architecture.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. It uses technology to review applications and share top candidate shortlists with employers, operating in a remote-first environment.
Design, build, and ship ML models that power content generation and quality eval scoring for Canva's generated element and template library.
Own the full ML lifecycle — from data pipelines and training through to deployment, monitoring, and iteration.
Partner with Content Engine, CORE AI Research, AI Media, and Discovery teams to align ML work with the broader content strategy.
Canva is redefining how the world experiences design with its intuitive design platform. We serve hundreds of millions of users globally and foster a culture of flexibility, inclusion, and innovation.