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.
Build the environments and verifiers our models train against
Own the synthetic data pipeline, from generation through quality gates
Ship models into production and keep improving them on real usage
LiveKit builds the infrastructure layer for the voice-driven era of computing, enabling developers to build, deploy, and scale voice AI applications. Founded in 2021, they power voice AI for major companies and have a small, senior team that values craft and creativity.
Build deep-learning models on market data from raw data to production.
Own the entire ML pipeline including infrastructure, evaluation, and reproducibility.
Work closely with traders and researchers in a live trading operation.
Deeter Analytics is a privately held investment research and trading firm that manages its own capital across public markets. It is a small, fully remote team with a low-ego culture.
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.
Lead research into vegetation structure, fuel loads, and wildfire risk from satellite and environmental data.
Design validation and evaluation frameworks, including ground-truth strategies and uncertainty quantification.
Prototype ML models and partner with engineers to bring research into production systems.
At Overstory, we use AI and satellite imagery to identify vegetation risks that threaten power lines, helping utilities prevent wildfires and outages. We are a fast-growing team of about 100 people across the Americas and Europe, united by a passion for climate action and solving complex problems.
Build the software backbone for autonomous foundation models, including multimodal data pipelines and training workflows.
Implement and iterate on LLM, VLM, and VLA architectures, owning model code paths and inference runners.
Deliver production-grade serving tooling for low-latency operation and own systems from architecture to iteration.
We're building the next generation of ground transportation with advanced physical AI to simplify freight challenges. Our stealth team, founded by engineers who scaled autonomous driving, is developing a new vehicle platform and focuses on creating reliable real-time autonomous systems.
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.
Design, develop, and improve machine learning solutions leveraging geospatial data for environmental intelligence products.
Work with satellite and aerial imagery, raster and vector datasets, and geospatial workflows to solve real-world challenges.
Lead technical projects from planning through implementation, collaborating with multidisciplinary teams.
They develop advanced AI solutions that transform satellite and environmental data into actionable insights for critical infrastructure. They are a fast-growing company with an inclusive, mission-driven culture focused on climate technology.
Design, develop, train, and evaluate machine learning models for interpreting complete CT studies.
Research foundation-model approaches for medical imaging, including 3D and volumetric learning at large scale.
Develop vision-language models connecting medical images with radiologist terminology and reporting patterns.
Our partner is a research-driven team building next-generation AI models to understand complete CT studies. They work with a dataset of approximately 10 million patients and collaborate with fellowship-trained radiologists across multiple specialties.
Build and own the model serving infrastructure, real-time inference, feature retrieval, and the latency budget that governs both.
Build the deployment path for data scientists to ship models, including bring-your-own-model support.
Own models in production: monitoring, drift detection, retraining, incident response, and the on-call rotation.
Sardine is the leading agentic risk platform for fighting financial crime. We are a remote-first company with hubs in the Bay Area, NYC, Austin, Toronto, and São Paulo, hiring talented individuals with extreme ownership and high growth orientation.
Build models and data products that go from prototype to production, including generative models and subscriber-behavior predictions.
Dig into large, messy datasets to uncover trends and patterns, and contribute to the core Python data science library.
Build LLM-powered pipelines and agents, with comprehensive evals to validate model responses.
DevSavant is an operating partner for startups and growth-stage companies, helping them turn ambition into execution. With over 8 years in venture-backed ecosystems, they are trusted to accelerate delivery and scale teams efficiently.
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.
Taking ML or LLM proof-of-concept to production for large enterprises.
Designing and hardening data and training pipelines for enterprise ML systems.
Building LLM and RAG systems with retrieval quality, evaluation and cost control.
Janea Systems (USA) is a dynamic team of the best & brightest software engineering specialists and solutions innovators from around the world. From kernel to cloud, we provide high-impact software development services to Fortune 500 companies.
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.
Design and develop assistive AI technology for interactive 3D workflows.
Build NLP pipelines and knowledge graphs to extract intent and structure from user input.
Integrate cloud and client LLMs to drive creative workflows and ship features end-to-end.
Intangible is a spatial intelligence company for creatives in industries where space and movement matter. It is a venture-funded, remote-first interdisciplinary team of engineers, artists, and designers who have built products at major tech and entertainment companies.
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.
Assist in developing computer vision models for wildfire detection and environmental monitoring.
Help implement and maintain ML/CV pipelines and deploy models on NVIDIA Jetson edge platforms.
Collaborate with AI researchers, software engineers, and product teams to optimize and document solutions.
Pano AI is the leader in AI-powered wildfire detection and intelligence, helping fire professionals detect, respond to, and contain wildfires faster and more safely. We are a team of more than 175 people working in a hybrid-remote environment across North America and Australia, with headquarters in San Francisco.
Own tracking and reporting of CV accuracy metrics, investigating misclassifications and identifying patterns across customers.
Curate, label, and prioritize datasets for model retraining, partnering closely with ML and CV engineers.
Build and improve the continuous learning pipeline, moving from flagging issues to fixing them directly.
We are building the backbone of freight by reinventing supply chain infrastructure with carrier agnostic truck terminals. We are a vertically integrated real estate, operations, and technology company backed by $1B, scaling to build the most valuable logistics network in the country, with a culture of accountability, integrity, and high performance.
Develop, deploy, and maintain machine learning models in production environments using AWS SageMaker or similar platforms.
Perform exploratory data analysis, feature engineering, and build data pipelines to support scalable ML workflows.
Monitor production models, address performance issues, and collaborate with engineering and business stakeholders to deliver data-driven solutions.
Google is a global technology company that develops products and services to organize information and make it universally accessible and useful. The company is a large multinational with a culture focused on innovation, collaboration, and data-driven decision-making.