Source Job

• 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.

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.

• Development and deployment of LLM-powered features, including summarization tools.
• Build backend services in Python that integrate ML/LLM models with Fullscript’s platform.
• Collaborate with medical and product teams to deliver AI features for practitioners and patients.

Fullscript is a health technology company committed to helping people get better by connecting practitioners to products and patients to care plans. They empower over 125,000 practitioners and 10 million patients through their comprehensive platform.

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.

• 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.

As a Data Scientist, you will leverage data to drive impactful solutions, working on the full data science lifecycle from data acquisition to model deployment. You will implement generative AI solutions and collaborate to translate business requirements into data-driven solutions. The role involves innovating with cutting-edge technologies and contributing to high-impact projects, while mentoring peers and promoting best practices in AI and analytics.

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

• 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.

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.

• 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.

• 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.

At Mercor, we’re building the talent engine that helps leading labs and research orgs move AI forward.

Deploy and monitor machine learning models in production using tools like Docker, Kubernetes, and MLflow to ensure scalability and reliability. Build and maintain data pipelines using Airflow, Spark, or Kafka to support model training and inference. Integrate ML models into business applications, collaborating with software engineers to operationalize 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 and maintain infrastructure supporting scalable real time data pipelines to handle huge datasets. Develop and support tooling enabling implementation of custom ML algorithms in a low latency environment. Work on infrastructure for running training, inference, monitoring, and deployment on thousands of ML tasks concurrently.

StackAdapt empowers marketers to reach, engage, and convert audiences with precision with its AI-powered marketing platform.

• Design, develop, and deliver AI-driven data products in partnership with engineering and product leadership.
• Translate model outputs into clear, actionable insights that drive customer understanding and decision-making.
• Contribute to the evolution of data science standards, tools, and best practices across the organization.

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

• 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.

• Architect and scale production-grade Generative AI powering patient conversations, provider decision support, and clinical operations.
• Design systems that are safe, observable, and built for scale in a regulated environment.
• Set technical direction, mentor other engineers, and help shape Rula’s AI roadmap.

Rula is committed to treating the whole person and aims to create a world where mental health is no longer stigmatized. They are passionate about making a positive impact on the lives of those struggling with mental health issues.

• 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.

• 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.

• 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.

• Develop Machine Learning models and pipelines.
• Interact with databases and data infrastructure.
• Conduct in-depth data analytics and build statistical data inference models of biological processes.

Aquabyte is working to revolutionize the sustainability and efficiency of aquaculture through underwater cameras, computer vision, and machine learning.