Contribute to the entire development cycle of cutting-edge large deep learning models, from dataset preparation to deployment.
Collaborate with engineers and researchers to translate research into practical applications, wearing many hats.
Work at an exciting moment to build something from the ground up with a kind and collaborative team.
Reka builds useful multimodal AI to empower organizations, as a globally distributed foundation model startup headquartered in San Francisco Bay Area. The team, including contributors from Google DeepMind and FAIR, embraces a remote-first culture and collaborates globally.
Fine-tune and optimize Large Language Models for healthcare and life science applications.
Develop and enhance RAG pipelines to improve AI-powered information retrieval.
Collaborate with cross-functional teams to deploy deep learning solutions for complex healthcare challenges.
The company develops AI-powered healthcare solutions using Large Language Models. They foster a highly collaborative and innovation-driven environment with a diverse international team.
Design, develop, and optimize computer vision models and deep learning capabilities across the product portfolio.
Build and maintain ETL pipelines, clean datasets, and perform feature engineering for machine learning applications.
Collaborate with cross-functional teams to productionize, deploy, and monitor models in real-world environments.
FloVision is a remote-first startup improving the food supply chain with computer vision and ML. It is a Series A company with a distributed team across the US, UK, and Ireland.
Design and optimize training and post-training pipelines for large language models.
Improve model quality through supervised fine-tuning, reinforcement learning, and evaluation.
Build PyTorch-based training infrastructure and optimize distributed training across multi-GPU environments.
Lightning AI builds an end-to-end platform for developing, training, and deploying AI systems, founded in 2019. They are a global company with offices in New York, San Francisco, Seattle, and London, backed by major venture capital firms, and foster a builder culture that values urgency, ownership, and open communication.
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.
Design and implement advanced knowledge distillation pipelines, including teacher-student approaches and multi-teacher architectures.
Run large-scale machine learning experiments to optimize model quality, latency, efficiency, and cost trade-offs.
Collaborate with research teams to transform emerging distillation techniques into reliable production-ready implementations.
Our partner is an innovative company focused on advancing the efficiency and scalability of next-generation machine learning systems. They offer a remote-friendly work environment with an async-first culture and a small, senior team combining research expertise and engineering excellence.
Develop end-to-end data processing pipelines for display characterization and machine learning algorithms for visual artifact detection.
Design and implement anomaly detection models and automated analysis tools for display performance.
Collaborate with cross-functional hardware teams and maintain data infrastructure for ML workflows.
itD is a consulting and software development company that blends diversity, innovation, and integrity. It is a woman- and minority-led firm with a flat structure and a focus on delivering excellent results.
Build, adapt, and operationalize ML models to estimate forest structure from remote sensing data.
Integrate trained models into automated production pipelines and maintain surrounding data infrastructure.
Contribute to scientific manuscripts and serve as a cross-team link between SciDev and Data Engineering.
Vibrant Planet is a team of leaders in fire science, applied science, forestry, policy, and tech that uses a cloud-based AI-driven platform to lower wildfire risk. The company is backed by climate and resilience leaders and values an inclusive, equitable work environment.
Conduct cutting-edge machine learning research, building and training large language models.
Focus on research projects aimed at expanding the frontier of knowledge in language modelling and associated areas.
Disseminate your research results through publications, datasets, and code.
Cohere is a security-first enterprise AI company that builds cutting-edge foundation AI models and end-to-end products for enterprise AI systems. We are a global team of researchers, engineers, and designers passionate about our craft, with offices in Toronto, San Francisco, London, and more.
Define and execute the research strategy for core AI intelligence, including reasoning, planning, memory, and context representation.
Lead technical decisions on model architecture, balancing proprietary solutions with state-of-the-art models.
Establish and oversee AI alignment, safety, and guardrail strategies to ensure responsible system behavior.
This company develops an advanced AI platform to automate complex digital workflows. They are a small, highly experienced team with a fast-moving culture focused on cutting-edge machine learning.
Own core computer vision models from 3D human pose to body modeling, shipping them to production.
Manage the full data lifecycle including training frameworks, annotation workflows, and evaluation pipelines.
Extend movement understanding into multimodal AI and automate model training and deployment systems.
Sword is building AI to heal billions, pioneering an AI-native care platform that delivers personalized, connected healthcare without traditional barriers. Backed by $500M and with over 1 million members and 2,000+ enterprise clients, Sword is a fast-growing frontier AI lab with a culture of clinical rigor and AI fluency.
Design, build, deploy, and optimize machine learning models that process large volumes of complex, unstructured data.
Develop and maintain scalable ML pipelines capable of supporting millions of documents and diverse customer requirements.
Lead technical initiatives from early experimentation through production implementation and ongoing improvement.
The company develops intelligent automation solutions using AI and machine learning for large-scale document processing. It offers a highly autonomous engineering environment with a focus on continuous improvement and innovation.
Independently own high-value optimization initiatives across training, inference, or launch-readiness for important Ads ML workloads.
Diagnose bottlenecks in real production systems using profiling, benchmarking, and observability.
Build performance tooling, optimization playbooks, and efficiency primitives that benefit multiple teams.
Reddit is a community of communities built on shared interests and authentic conversations. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit has a flexible workforce and values collaboration.
Develop, train, and evaluate machine learning models to support product objectives.
Prepare, clean, and analyze datasets for model training and validation.
Deploy, monitor, and improve machine learning models in production environments.
The partner company develops AI-powered products to solve real-world challenges. They offer a fully remote, flexible work environment with a focus on innovation and collaboration.
Evaluate LLM architecture logic for technical accuracy and audit ML code and notebooks for efficiency.
Refine RLHF frameworks to align models with human intent and analyze model reasoning in complex chain-of-thought prompts.
Benchmark performance by conducting comparative testing between model outputs based on technical metrics.
Prolific connects researchers with a global pool of participants for collecting high-quality human data to train AI models. With over 35,000 users, they focus on ethical data gathering to advance AI capabilities.
Conduct in-depth research into Machine Learning, Deep Learning, and Generative AI.
Identify gaps, limitations, and opportunities in existing research and technologies.
Stay up to date with the latest research papers, models, architectures, and techniques.
ImagineArt is a fast-growing generative AI company building next-generation AI-powered creative tools. We are a small, ambitious team with a research-driven culture exploring cutting-edge AI technologies.
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.
Optimize machine learning inference systems for latency, throughput, and cost-efficiency.
Profile and troubleshoot GPU/CPU bottlenecks, implement advanced techniques like quantization and speculative decoding.
Collaborate with research and engineering teams to productionize new models and improve inference infrastructure.
The company is an AI-focused organization that develops advanced machine learning systems for production environments. It values technical excellence and experimentation, offering a flexible remote work environment.
Participate in and lead the entire biosignal-based algorithm development lifecycle for medical devices.
Enhance internal deep learning and machine learning tools to boost team efficiency and enable rapid experimentation.
Present results to key stakeholders and support client-facing projects to shape the impact of algorithms for customers.
Beacon Biosignals is transforming precision medicine for the brain by developing at-home EEG and cardiopulmonary platforms for clinical research and diagnostics. The company fosters a collaborative, diverse culture where scientific and cultural impact is driven by leading by example, curiosity, simplicity, and empathy.
Develop new vegetation intelligence products using geospatial Python and ML/DL techniques.
Maintain and improve existing products through data exploration and model optimization.
Lead projects end-to-end, from planning through delivery, and communicate value to stakeholders.
The company uses AI and advanced satellite imagery to help utilities prevent wildfires and power outages by identifying vegetation risks. The team spans the Americas and Europe, fostering a mission-driven culture.