Source Job

• 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.

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.

• Act as a trusted advisor to customers, building relationships with technical and business stakeholders.
• Advise on GenAI and ML best practices and give product demos to stakeholders.
• Partner with product and engineering teams to drive the product roadmap and spearhead new opportunities within existing accounts.

Arize AI is the leading AI & Agent Engineering observability and evaluation platform, empowering AI engineers to ship high-performing, reliable agents and applications.

• Assist in developing and training machine learning models using Python.
• Work with data cleaning, preprocessing, and analysis.
• Implement ML algorithms and evaluate model performance.

Solvative offers perks and benefits to its employees including the option of remote working and flexible work hours.

• Design, build, and optimize high-performance systems in Python 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 Python 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, 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 scalable, future-proof data platforms optimized for AI research workloads.
• Build efficient self-serve data processing pipelines leveraging GCP's advanced services.
• Implement guardrails for cost, quality, and performance.

AssemblyAI is at the forefront of Speech AI, creating powerful models for speech-to-text and speech understanding via an API. They're a remote team of startup veterans and AI researchers looking to build one of the next great AI companies.

• Design, build, and optimize high-performance systems in Python 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 Python 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.

• Help define the direction for the team.
• Define and prioritize ML Platform initiatives.
• Enable teams to build features at scale by providing a foundation of reusable software components and infrastructure.

Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. Motive serves nearly 100,000 customers – from Fortune 500 enterprises to small businesses – across a wide range of industries.

• Evolve and support real-time machine learning/AI pipelines to build low-latency, high-throughput systems.
• Design and implement cloud solutions using AWS to ensure high performance, scalability, and reliability.
• Guarantee high levels of service availability through being a part of an on-call rotation, following best practices for disaster recovery and business continuity.

Sony Interactive Entertainment (SIE) PlayStation creates unforgettable gaming experiences and is dedicated to building a world-class team.

• Develop and test features involving LLMs, automation pipelines, or AI-driven tooling.
• Assist with model evaluation, data preparation, and prompt engineering.
• Build lightweight prototypes and internal tools to accelerate experimentation.

JWay Group is proud to be an Equal Opportunity Employer and values diversity, fostering an inclusive and supportive workplace.

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.

• 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.

• 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.

Support the management and maintenance of Google Cloud Platform (GCP) infrastructure. Assist in ensuring the reliability, scalability, and performance of cloud services. Contribute to the design and maintenance of GitLab CI/CD pipelines.

Miratech is a global IT services and consulting company that brings together enterprise and start-up innovation.

Design, build, and operationalize modern data and ML platform capabilities. Ensure public health and Medicaid programs operate with secure, explainable, and trustworthy AI. Build scalable ingestion and normalization pipelines for healthcare and public health datasets.

Altarum is a nonprofit organization focused on improving the health of individuals with fewer financial resources and populations disenfranchised by the health care system.

• Design, develop, and deploy AI/ML solutions that support Magna’s legal and medical platforms.
• Translate business needs into scalable machine learning models and automation workflows.
• Work closely with data engineers, software engineers, and product managers to bring AI products from prototype to production.

Magna Legal Services provides end-to-end legal support services to law firms, corporations, and governmental agencies throughout the nation. As an end-to-end service provider, they can provide strategic advantages to their clients.

• Design, build, and maintain our petabyte-scale data and ML platform.
• Ensure reliability, security, scalability, and performance across our internal systems.
• Automate deployment pipelines, monitoring, and alerting for ML and data services.

Serve Robotics is reimagining how things move in cities with its personable sidewalk robot designed to take deliveries away from congested streets.

• Designing & maintaining GCP infrastructure (GKE, Bigtable, BigQuery, GCS, networking).
• Building monitoring, alerting, logging, and observability from the ground up.
• Improving our security posture across auth, IAM, policies, and data access.

Software Mind develops solutions that make an impact for companies around the globe. They build cross-functional engineering teams that take ownership and crave more, embracing openness, respect, and grit. They combine employment with enjoyment in their culture.

• Lead development stages for AI/ML projects from exploration to maintenance.
• Design and implement scalable ML pipelines for large datasets with data scientists and network security experts.
• Conduct experiments and analyze results using metrics and visualization techniques.

Corelight is a cybersecurity company that transforms network and cloud activity into evidence for elite defenders. Fueled by accelerating revenue and investments from top-tier venture capital organizations, they are rapidly expanding their team with a geographically dispersed yet connected employee base.