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.
Lead a cross-functional team of ML engineers, data scientists, and MLOps professionals.
Oversee the full lifecycle of LLM and ML projects — from data collection to training, evaluation, and deployment.
Provide technical direction on large-scale model training, fine-tuning, and distributed systems design.
Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises.
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.
Lead AI and ML initiatives to design and implement production-grade machine learning systems and pipelines. Develop scalable infrastructure for model training, evaluation, and deployment, ensuring reliability and observability. Collaborate with cross-functional teams to drive innovation and efficiency.
Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.
Design, implement, and deploy AI-powered features, including model training, fine-tuning, and prompt engineering workflows.
Translate product requirements into robust, production-ready AI solutions, working with Product Managers, Software Engineers, and Data Scientists.
Optimize models and infrastructure for scalability, latency, and cost efficiency, partnering with DevOps and MLOps to ensure reliable and maintainable AI pipelines.
Paper is reimagining how schools support students so that every learner can reach their full potential.
Design and prototype machine learning solutions to improve the software development workflow. Apply existing open-source models or train custom ones as needed. Build training and evaluation pipelines that support fast iteration and ensure reproducibility.
JetBrains strives to make the most effective developer tools on earth by automating routine checks and corrections, speeding up production, and freeing developers to grow.
Improve the performance and lifecycle of production ML systems. Collaboratively design and deploy end-to-end ML models, LLMs, and agent systems. Lead the strategy and execution of proofs of concept to validate technical feasibility.
Clarity AI is a global tech company founded in 2017 with a unique mission: bringing societal impact to markets by leveraging AI and machine learning technologies.
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.
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.
Design and implement ML models for behavior prediction, anomaly detection, and risk scoring. Develop and fine-tune transformer-based models. Partner with product and engineering to translate business problems into data science solutions.
Teramind is the leading platform for user behavior analytics, serving multiple use cases from insider risk mitigation to business process optimization.
Lead the design, development, and deployment of AI/ML models.
Build and maintain production-grade ML pipelines and model monitoring.
Mentor and develop junior AI engineers, laying the foundation for AI best practices.
Payabli enables any software company to become a payments company through its payment infrastructure and monetization platform to boost enterprise value.
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.
Train and scale neural networks for processing source code. Develop new methods and improve existing ones for code generation, code editing, and agent-based workflows. Mentor colleagues on ML topics.
At JetBrains, code is our passion and since 2000, they’ve focused on reducing routine work so developers can spend more time building and shipping.
Own the end-to-end lifecycle of ML model deployment—from training artifacts to production inference services.
Design, build, and maintain scalable inference pipelines using modern orchestration frameworks (e.g., Kubeflow, Airflow, Ray, MLflow).
Implement and optimize model serving infrastructure for latency, throughput, and cost efficiency across GPU and CPU clusters.
MARA is building a modular platform that unifies IaaS, PaaS, and SaaS which will enable governments, enterprises, and AI innovators to deploy, scale, and govern workloads across data centers, edge environments, and sovereign clouds. They are redefining the future of sovereign, energy-aware AI infrastructure.
Optimize ad performance using both mature models and emerging ML technologies.
Build scalable infrastructure to support real-time ad decisioning across millions of requests per day.
Collaborate with global teams across product, data, and engineering to launch high-impact ad features.
Launch Potato is a profitable digital media company that reaches over 30M+ monthly visitors through brands such as FinanceBuzz, All About Cookies, and OnlyInYourState.