Develop and improve computer vision models for sports video, including detection, tracking, and event recognition.
Build camera calibration and field-registration solutions for accurate mapping.
Optimize pipelines for production deployment and robustness across varied conditions.
Janea Systems provides computer vision solutions for sports analytics. They offer a remote-first, flexible work environment with a globally diverse team of top engineering talent.
Own the offline dataset pipeline converting multi-sensor data into VLM/VLA training datasets.
Develop VLM-assisted auto-labeling with open-vocabulary detection and semantic enrichment.
Curate long-tail scenarios to measurably improve downstream model performance.
Torc develops autonomous driving software for trucks to transform freight movement. As a pioneer in autonomous technology since 2007 and now part of Daimler, we foster a collaborative, energetic, and team-focused culture.
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.
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.
Design and implement AI capabilities for intelligent data characterization and decision support.
Evaluate, optimize, and deploy open-weight foundation models for resource-constrained edge environments.
Develop efficient inference pipelines and implement RAG, semantic search, and model optimization techniques.
Expression provides data fusion, analytics, AI/ML, software engineering, and spectrum management solutions to the U.S. Department of Defense and national security community. Founded in 1997 and headquartered in Washington DC, the company was ranked #1 on Washington Technology's 2018 Fast 50 and is a Top 20 Big Data Solutions Provider, fostering a collaborative culture with opportunities for growth.
Lead the design and development of computer vision systems for biometrics, including face attributes, detection, and recognition.
Architect, train, and optimize models using PyTorch, TensorFlow, or JAX, and own end-to-end ML pipelines on AWS.
Mentor ML engineers and drive technical best practices across the Computer Vision team.
Jumio is a B2B technology company that uses AI and biometrics to prevent online identity fraud and financial crimes. It is a global leader in identity verification with a diverse team and values of Integrity, Diversity, Empowerment, Accountability, and Leading Innovation.
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.
Lead development of machine learning models for detection and diagnostics of solar and storage assets.
Partner with engineering to deploy models into production and measure their impact.
Explore and prototype new modeling approaches to drive business value.
Omnidian is a Series C tech-enabled service company revolutionizing performance assurance for solar and energy storage. They are a certified B Corp with a passionate, mission-driven team and a culture of collaboration and trust.
Own the end-to-end data science lifecycle for moderately complex models, from data ingestion to deployment and monitoring.
Apply expertise in machine learning and statistics to solve marketplace problems, including bidding, yield modeling, and experimentation.
Mentor junior data scientists and influence technical decisions within the team.
OpenX focuses on unleashing the economic potential of digital media companies by building digital advertising markets and technologies. The company is a growing and scaling team that values thoughtful, creative executors and a blend of market design, technical innovation, and operational excellence.
Design, develop, and deploy ML models, including large language models, for various NLP tasks.
Collaborate with cross-functional teams to gather requirements, define architectures, and iterate on model development.
Stay up-to-date with latest research and contribute to best practices for responsible ML development.
Reddit is a community of communities built on shared interests, passion, and trust, hosting the most open and authentic conversations on the internet. With over 100,000 active communities and approximately 126 million daily active users, it is one of the internet's largest sources of information, fostering a culture of authenticity and 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.
Design, develop, and deploy ML models for object detection, scene understanding, and 3D asset placement
Train and fine-tune models on 3D datasets to generate realistic visualizations while preserving image fidelity
Collaborate with graphics and full-stack teams to integrate AI models into the product pipeline
Homekynd builds the spatial intelligence layer for enterprise retail, transforming photos into 3D room models for immersive furniture visualization. We are a remote-first team on a fast build timeline, seeking engineers who want real ownership over hard problems.
Lead the design and operation of production machine learning systems for batch and online use cases with a focus on reliability and scalability.
Build and improve ML lifecycle infrastructure including training pipelines, inference workflows, monitoring, and automation.
Partner with cross-functional teams to translate business problems into ML solutions and guide prototypes to robust production systems.
Included Health is a healthcare company delivering integrated virtual care and navigation, aiming to raise the standard of healthcare for everyone. They are a remote-first organization offering comprehensive benefits and fostering a culture of inclusion.
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.
Own algorithmic features end-to-end across the next generation of Keen's AI Cortex, from design to production.
Pitch in on adjacent Python backend projects (Django, FastAPI, AWS) when work spans multiple services.
Collaborate across Product, Research, and Engineering, writing design docs and making tradeoff decisions.
Keen Decision Systems provides an AI-driven marketing platform that empowers marketing leaders and finance teams to make data-driven, future-focused business decisions. As an Inc. 5000 Fastest-Growing Private Company and a Triangle Business Journal Top 10 Best Place to Work, we promote a Conscious Culture with a 4-day work week.
Design and develop machine learning models for localization workflows, including machine translation and LLM finetuning.
Implement and optimize models using Python, TensorFlow, and deploy via Docker and AWS services.
Evaluate and select ML techniques, perform statistical analysis, and maintain clear documentation.
Welo Global is a leader in multilingual AI, technology, and content solutions serving over 2,000 clients in 300 languages. The company combines globally scaled multilingual infrastructure with a network of over 500,000 linguists and domain experts, backed by seven ISO certifications.
Lead the development of advanced computer vision and biometric solutions for identity verification.
Design, train, and scale production-grade machine learning systems with end-to-end pipeline ownership.
Collaborate with cross-functional teams to build reliable, ethical, and scalable AI systems with global impact.
The partner company develops advanced identity verification and digital trust solutions using AI. It is a growing technology organization with a collaborative and inclusive culture that values diverse perspectives and professional backgrounds.
Design and develop ML/AI models including predictive and LLM-based systems.
Optimize algorithms and perform data cleaning, feature engineering, and model validation.
Collaborate with clients and internal teams to translate results into insights.
Digica is an AI and software company delivering intelligent software across AI domains, focusing on deep learning and computer vision. They work with global companies and startups, and foster a growth-oriented, innovative culture.