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.
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 deploy machine learning and statistical models for forecasting and risk assessment.
Use experimentation and statistical methods to test product changes and improve customer experience.
Analyze large datasets to identify signals, engineer features, and inform model design.
Pipe is a financial technology company that provides a platform for businesses to access capital. It is a fully remote company with a culture of authenticity, humility, and 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.
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.
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.
Develop novel digital measures from high-resolution sensor data.
Design and evaluate algorithms for signal processing, feature engineering, and statistical analysis.
Collaborate with biostatisticians, software engineers, and clinical scientists to support clinical trials.
VivoSense is a science-first digital health company building the future of patient-centered evidence through advanced biosensor analytics. They partner with pharmaceutical companies and academic researchers to transform sensor signals into validated digital measures for clinical trials.
Develop and iterate on underwriting prediction models using a mix of approaches for tabular and sequential data.
Build and scale feature pipelines and training datasets from proprietary and third-party signals.
Prototype new modeling ideas and features, run offline experiments, and drive the best-performing approaches into production.
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. The company is a remote-first, publicly traded organization with a strong culture focused on people come first.
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.
Lead and grow a team of machine learning engineers, guiding career development, managing conflicts, and nurturing a positive work environment.
Run a portfolio of experiments, balancing near-term improvements with longer-horizon innovation bets, and make decisions on hypothesis resourcing.
Partner with Risk stakeholders to set direction from data, own delivery cadence, and represent team results to engineering leadership and the wider company.
Signifyd helps merchants grow their businesses by building trusted customer relationships through advanced technology that eliminates fraud and creates frictionless shopping experiences. The company is trusted by thousands of leading merchants across more than 100 countries, securely processing billions of transactions annually, and fosters a culture of commitment, empathy, and creativity.
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.
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.
Optimize and validate targeting mechanisms for specific health conditions using classic ML.
Improve proprietary contextualization and recommendation engines handling trillions of transactions monthly.
Collaborate with internal health experts to prototype ideas for commercialization.
PulsePoint sits at the intersection of healthcare and adtech, helping brands and agencies interpret health signals by unifying digital determinants of health with real-world data. With over 300 employees and growing, they are a post-acquisition business and a leading player in the US healthcare ad market.
Passionate about building AI models from the ground up and deploying them in production
Excited about joining early-stage startups and working directly with founders
Interested in shaping AI strategy and leading the development of AI-powered products
SignalFire partners with top early-stage startups shaping the future of technology. They have a portfolio of over 200 innovative companies across AI, cybersecurity, healthtech, fintech, developer tools, and enterprise SaaS.
Drive core research: Collaborate with the technical founder and team to develop cutting-edge modeling approaches and iterate rapidly.
Develop RL feedback loop: Design and implement post-training methods that translate high-throughput biological measurements into reward signals.
Bridge wet/dry lab: Partner with experimental team to ensure lab measurements and model learning are designed as a single cohesive system.
Astera is a private foundation on a mission to steer science and technology toward an abundant future. Projects supported by Astera operate like high-velocity startups, focusing on ambitious goals and attracting strong technical talent.
Design and build the probabilistic competency navigation algorithm behind ALX's learner platform, from cold start to production.
Develop LLM-as-judge pipelines and evolve the engine into behavioural profiling as real data accumulates.
Own model evaluation, shipping robust production code in a small remote-first team.
ALX Africa is a non-profit organization dedicated to unlocking Africa's digital future through tech skills training and career acceleration programs. It has hubs in 8 cities across Africa, has graduated over 347,000 learners since 2020, and aims to empower 2 million Africans by 2030.
Design, train, and improve large-scale machine learning models for recommendation and personalization, leveraging modern deep learning architectures.
Own end-to-end delivery of major ML system components, from problem framing to production rollout, with cross-functional partners.
Optimize distributed training, model efficiency, and online inference performance while ensuring low-latency, high-throughput production systems.
Reddit is a community of communities built on shared interests, passion, and trust, hosting authentic conversations. With over 100,000 active communities and about 130 million daily active users, Reddit is one of the internet's largest sources of information.
Design, develop, and iterate on the inference model that quantifies emotional states from multimodal wearable sensor signals.
Bridge neuroscience research, including active inference, with production-grade ML systems.
Collaborate with hardware and product teams to integrate the model into the wearable pipeline.
They are a seed-stage Y Combinator-backed startup building a wearable device that infers and interprets real-time emotional states. The company is early with prototypes already on users' wrists, and they expect this hire to lead the core inference work as the team scales.
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.
Co-direct the research program in partnership with the founder to shape scientific vision and technical execution.
Develop RL feedback loops translating high-throughput biological measurements into reward signals for biological language models.
Perform hands-on engineering including architecting model training infrastructure and building, running, and debugging models.
Astera is a private foundation steering science and technology toward an abundant future by supporting projects as high-velocity startups. It operates unlike traditional non-profits, focusing on ambitious goals with strong technical talent and significant resources.