Train, evaluate, and optimize machine learning models for high performance.
Contribute to R&D in object detection and multi-object tracking for remote sensing.
Design and deliver production-grade, maintainable code while managing multi-phase development.
Clarifai is a leading AI platform specializing in computer vision and generative AI. They empower organizations to transform unstructured data into actionable insights. Their globally distributed team operates across the United States, Canada, Estonia, Argentina, and India and is committed to building a diverse and inclusive team.
Create AI algorithms to reduce misdiagnosis in radiology and improve patient care.
Investigate, develop, and evaluate new AI methods to improve Covera’s understanding of radiology reports and images.
Collaborate with data science, clinical, and engineering team members to build and deploy our clinical research roadmap.
Covera Health is committed to ensuring high-quality healthcare. They are leading the way in the emerging science of quality, and connecting providers and payers to improve patient outcomes and care quality. Today, Covera is partnered with leading employers, payers and healthcare organizations across the US, including Walmart and Microsoft.
Continuously improve the performance and scalability of ML models. Build and deploy models from inception to live in production pipelines. Advocate for code and process improvements across your team, and help to define best practices based on personal industry experience and research.
BenchSci's mission is to exponentially increase the speed and quality of life-saving research and development.
Design and deliver advanced solutions that generate predictions from a wide range of Computer Vision models.
Build and evolve key components of the Roboflow Platform to ensure seamless, reliable model deployment at scale.
Contribute to and maintain Roboflow’s open-source projects, helping grow and support the broader developer community.
Roboflow simplifies building and using computer vision models, and over 1M+ developers, including those from half the Fortune 100, use Roboflow’s tools.
Research and develop advanced MLLMs, GenAI, and Computer Vision techniques for cloud, devices and sensors from multimodal data sources.
Design and implement efficient and scalable MLLM models for inference and analysis of visual data.
Axon is on a mission to Protect Life with their ecosystem of devices and cloud software. Life at Axon is fast-paced, challenging and meaningful with a focus on growth and making a difference.
Develop and deploy computer vision models for facial recognition, object detection and scene categorization.
Build scalable pipelines for processing large volumes of image data and generating structured metadata.
Design and implement recommendation systems leveraging behavioral analytics and transformer-based models.
Jobgether uses an AI-powered matching process to connect candidates with companies. They ensure applications are reviewed quickly and fairly, and their system identifies top-fitting candidates for the hiring company.
Design, build, and scale enterprise-grade AI/ML systems that power internal workflows and external-facing AI/ML platforms.
Develop a production-ready Generative AI and MLOps platform with reusable components used to deploy multiple AI solutions across Natera’s business units.
Implement cloud-native infrastructure for large-scale model training and serving using Kubernetes, MLflow, Terraform, and AWS-native services
Natera is a global leader in cell-free DNA (cfDNA) testing. They are dedicated to oncology, women’s health, and organ health, aiming to make personalized genetic testing and diagnostics part of the standard of care. The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions.
Invent and prototype new model architectures that optimize inference speed, including on edge devices.
Build and maintain evaluation suites for multimodal performance across a range of public and internal tasks.
Collaborate with the data and infrastructure teams to build scalable pipelines for ingesting and preprocessing large audio datasets.
Liquid AI, spun out of MIT, aims to build efficient AI systems at every scale, creating Liquid Foundation Models that operate on-device and under real-time constraints.
Build and deploy AI-driven products that accelerate clinical trials and improve patient outcomes.
Develop advanced ML models and LLM-powered agents for critical use cases like patient recruitment, enrollment forecasting, and study feasibility.
Leverage modern cloud tools and MLOps best practices to build robust data pipelines and deploy models at scale.
At OneStudyTeam (a Reify Health company), we specialize in speeding up clinical trials and increasing the chance of new therapies being approved with the ultimate goal of improving patient outcomes.
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.
Drive the development of next-generation foundation models for wearable biosignals that power Oura’s health sensing features.
Design and validate deep learning approaches for large‑scale wearable time-series and running rigorous evaluations on research and clinical datasets.
Partner with cross‑functional teams to translate evidence into shipped features and scientific publications.
Oura's award-winning products help its global community gain a deeper knowledge of their readiness, activity, and sleep quality by using their Oura Ring and connected app.
Architect, develop, and deploy multimodal generative AI systems.
Lead implementation of vision architectures and multimodal embedding frameworks.
Design and optimize systems integrating LLMs with visual and audio modalities.
Truelogic is a leading provider of nearshore staff augmentation services, delivering top-tier technology solutions to companies of all sizes. Their team of 600+ highly skilled tech professionals, based in Latin America, partners with U.S. companies on impactful projects, valuing expertise and aspirations.
Develop and test new modeling approaches using deep learning architectures such as transformers, embeddings, and neural networks.
Build and refine frameworks that integrate into Tilt’s existing ML pipelines to improve credit modeling and loss prediction.
Work closely with data scientists, engineers, and product partners to translate complex ideas into practical solutions.
Tilt (formerly Empower) creates mobile-first products and machine learning-powered credit models to look beyond outdated credit scores. They are named among the next billion-dollar startups and are creating a new credit system that backs the working.