Source Job

• 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.

• Apply state-of-the-art AI/ML techniques to develop cybersecurity solutions addressing complex real-world challenges.
• Collaborate with cross-functional teams to translate prototypes into production-ready systems.
• Contribute to research initiatives, keeping the team at the forefront of AI/ML and cybersecurity innovations.

This position is posted by Jobgether on behalf of a partner company.

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 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.

Design, develop, and optimize ML models for localization, including learned pose estimation, map-matching, and sensor fusion using camera, LiDAR, and radar data. Collaborate with robotics and mapping teams to integrate localization models into real-time autonomy stacks with strict performance requirements. Contribute to system design, documentation, best practices, and code reviews across ML and autonomy teams.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities.

• Develop and optimize computer vision algorithms for road model detection.
• Design and implement deep learning models for road model inference in BEV frameworks.
• Collaborate with robotics, software, and hardware engineering teams for seamless integration.

Torc has been a leader in autonomous driving since 2007, commercializing solutions with experienced partners and now focused on developing software for automated trucks.

• Design, build, and deploy machine learning models for personalization, automation, and insights.
• Manage the full ML lifecycle: data preprocessing, feature engineering, training, tuning, evaluation, deployment.
• Integrate ML outputs into user-facing products and backend systems.

BJAK is a leading digital insurance platform, helping millions of users access affordable and transparent financial protection.

• Lead the design and deployment of advanced AI inference systems for high-profile clients.
• Translate complex business problems into robust, real-time AI architectures.
• Partner with technical teams and clients to deliver scalable, high-performance solutions on modern GPU and cloud infrastructure.

Jobgether uses an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against a role's core requirements.

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.

• Develop machine learning models that interpret and predict road and lane structures.
• Work with multi-modal sensor data, including cameras, LiDAR, and radar, to create 3D representations of driving surfaces.
• Optimize algorithms for real-world deployment, influencing vehicle navigation and safety.

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements.

• Build and evolve Rasa’s core Conversational AI engine, leveraging LLMs.
• Lead architecture decisions and algorithm implementations.
• Collaborate with engineers to build Rasa Pro, enabling developers to build, deploy, and maintain complex AI assistants.

Rasa is a leader in generative conversational AI, enabling enterprises to build and deliver next-level AI assistants.

• 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.

• Contribute to designing, building, evaluating, shipping, and improving Sword’s products by hands-on AI/ML development.
• Develop and maintain data processing pipelines for getting the data required to build and evaluate models.
• Work alongside the Product, Data & Engineering Teams to define and implement AI/ML-powered features for internal and external users.

Sword Health is shifting healthcare from human-first to AI-first through its AI Care platform, making world-class healthcare available anytime, anywhere.

• Formulate and execute small, high-leverage research projects aligned with our product roadmap.
• Independently build and validate end-to-end prototypes.
• Design and run experimental pipelines autonomously, including setting up research environments and defining evaluation metrics.

ZetaChain is building the first universal blockchain and AI platform that connects everything—Bitcoin, Ethereum, Solana, and more—while pioneering in the GenAI space. They are backed by top investors, live on mainnet, and building the future of blockchain and AI technology.

Lead the full data science lifecycle, from data acquisition and preparation to model development, deployment, and performance monitoring. Leverage advanced machine learning, deep learning, and generative AI techniques to solve challenging problems and deliver impactful solutions. Collaborate with cross-functional teams, including product managers, engineers, and analysts, to translate business needs into scalable, production-ready AI/ML solutions.

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, build, and optimize high-performance systems in C++ supporting AI data pipelines and evaluation workflows.
• Develop full-stack tooling and backend services for large-scale data annotation, validation, and quality control.
• Improve reliability, performance, and safety across existing C++ codebases.

Alignerr connects top technical experts with leading AI labs to build, evaluate, and improve next-generation models. They work on real production systems and high-impact research workflows across data, tooling, and infrastructure.

• 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.

• 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.

• Lead the full ML model lifecycle from feature engineering to ongoing improvement.
• Architect and implement scalable ranking and personalization models using ML frameworks.
• Collaborate with Product and Data Engineering to translate business needs into user impact.

Groupon is a marketplace where customers discover new experiences and services everyday and local businesses thrive.

Draft detailed natural-language plans and code implementations for machine learning tasks. Convert novel machine learning problems into agent-executable tasks for reinforcement learning environments. Identify failure modes and apply golden patches to LLM-generated trajectories for machine learning tasks.

Mercor is building the talent engine that helps leading labs and research orgs move AI forward.