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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.

• 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.

• Conduct exploratory data analyses and develop machine learning models to identify risks.
• Train and iterate on machine learning models using novel techniques.
• Debug models when observability shows performance gaps, and iterate on models.

Patreon is a media and community platform allowing creators to give their biggest fans access to exclusive work and experiences and fund the creative class.

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.

• Drive the development and implementation of cutting-edge machine learning algorithms.
• Design system and model architectures, conduct rigorous experimentation and model evaluations.
• Collaborate with product, engineering, and analytics teams to build AI functionalities.

At Atlassian, we're motivated by a common goal: to unleash the potential of every team.

• Design, build, and productionize ML models for fine-tuned, Retrieval-Augmented Generation (RAG), and generative AI features.
• Build and maintain scalable data pipelines to collect high-quality training and evaluation datasets, including annotation systems and human-in-the-loop workflows.
• Collaborate with product and engineering to iterate on datasets, evaluation metrics, and model architectures to improve quality and relevance.

Mural is pioneering how generative AI transforms visual collaboration and decision-making.

• Improve existing machine learning systems using coding skills and ML knowledge.
• Identify new opportunities to apply machine learning to different parts of the Quora product.
• Take end-to-end ownership of machine learning systems including data pipelines and model training.

Quora’s mission is to grow the world's collective intelligence with two platforms: Quora and Poe.

• 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.

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.

• Lead the development of machine learning projects from requirements gathering to deployment.
• Design, implement, and maintain ML pipelines, including data ingestion, feature engineering, modeling, evaluation, and deployment.
• Conduct research and develop advanced analytical and optimization methods to enhance platform capabilities.

Jobgether is a company that is looking for a highly skilled and motivated Senior Data Scientist to join a dynamic, data-driven team.

• Build the core Machine Learning foundations that power Nova’s agentic experiences.
• Design and implement the underlying components that support rich, intelligent interactions in the Iterable platform.
• Develop generalized evaluation frameworks for LLM- and agent-based features.

Iterable is the leading AI-powered customer engagement platform that helps leading brands create dynamic, individualized experiences at scale.

• Train and fine-tune text models (LLMs), deploying them on Google Cloud, and building automation around these models.
• Analyse business requirements for the desired output format and the logic the model must implement.
• Develop services and APIs (REST/gRPC) that expose the model to other systems.

Medier isn’t just a marketing agency—we’re creative partners to our clients.

• 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.

• Transform specs into efficient, production ready python code.
• Research and build predictive models for the probability of cyber attack.
• Continuously maintain, test and improve models and provide concise reporting of results.

Converge Insurance is an equal opportunity employer that celebrate diversity and are committed to creating an inclusive environment for all employees.

Work on impactful AI and machine learning projects and contribute to solutions. Help build and support machine learning models and AI systems that power Experian's products and services. Participate in research and experimentation with new AI techniques and tools and machine learning models focusing on real-world applications.

Experian is a global data and technology company, powering opportunities for people and businesses around the world.

• Build and maintain data pipelines to support machine learning and analytics workflows.
• Collect, clean, and transform large, complex datasets from engineering environments.
• Develop and train predictive models for yield, performance, and anomaly detection.

We're seeking a Data & AI Engineer at FortifyIQ. The company seems to be in technology, possibly related to silicon design based on the job description.

• Build, lead, and mentor a machine learning engineering team, taking a hands-on approach while assuming increasing management responsibilities as the team grows
• Design, develop, and deploy machine learning models to strengthen risk management and fraud detection capabilities
• Own technical direction within the risk and fraud domain, helping define strategy, architecture, and best practices

Jobgether is a company that uses an AI-powered matching process to ensure applications are reviewed quickly, objectively, and fairly against the role's core requirements. They identify the top-fitting candidates, and this shortlist is then shared directly with the hiring company.

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, train, and operate ML systems that power the Tebra platform.
• Own the entire lifecycle from data exploration and model development to deployment.
• Push the boundaries of applied ML in healthcare, transforming messy real-world data into reliable automation.

Kareo and PatientPop have joined forces to become Tebra, the digital backbone for practice well-being, helping independent practices bring modernized care to patients.

Apply machine learning techniques to solve complex problems. Develop and implement machine learning models. Collaborate with cross-functional teams.

International Consulting Associates, Inc. is a rapidly growing company, located in the D.C./Metro area, founded to assist government clients.