Join our Data and Digital Catalyst organization as a Senior AI Engineer in AI Enablement, where you will partner closely with computational and research scientists to turn artificial intelligence into an everyday utility that accelerates drug discovery and development.
Compensation
The expected salary range for this position based on the primary location of San Franscico, CA is $168,100- $312,300 Annual. A discretionary annual bonus may be available based on individual and Company performance.
Responsibilities
Design, develop, and test robust, scalable scientific web applications, backend systems, and cloud-native architectures that power AI/ML workflows.
Build foundational AgentOps capabilities—including evaluation frameworks, observability, secure execution environments, memory/retrieval systems, and model routing—to deploy and operate AI agents at scale.
Establish AI data readiness capabilities by structuring, validating, and standardizing diverse scientific datasets to ensure reproducibility, traceability, and trustworthiness.
Develop tooling to evaluate AI/ML model performance and define new metrics for assessing AI output quality.
Partner directly with product managers, computational scientists, and research teams to translate complex scientific challenges into actionable technical specifications.
Requirements
Bachelor’s degree in Computer Science, Machine Learning, Software Engineering, or an equivalent practical background
Master’s degree in Computer Science, Machine Learning, Software Engineering, or an equivalent practical background
Nice to have: biological data experience
Nice to have: scientific imaging experience
Nice to have: life sciences research environment experience
Lead the strategic planning, development, and execution of imaging biomarker programs to support Calico’s therapeutic pipeline targeting aging and age-related diseases.
Compensation
The estimated base salary range for this role is $280,000 - $285,000. Actual pay will be based on a number of factors including experience and qualifications. This position is also eligible for two annual cash bonuses.
Responsibilities
Design tailored imaging plans for early-to-late-phase clinical trials
Effectively communicate strategies and key decisions to internal and external stakeholders
Oversee and/or execute brain MRI processing and data analysis for clinical trial data
Serve as the functional lead for cross-functional alignment with other departments
Manage resources to ensure seamless program execution across the portfolio
Requirements
Ph.D. degree in Physics, Biomedical Engineering, Computer Science, or related field
Nice to have: AI/ML frameworks applied to brain MRI tasks
Design, develop, and test robust, scalable scientific web applications, backend systems, and cloud-native architectures that power AI/ML workflows and build foundational AgentOps capabilities.
Compensation
The expected salary range for this position based on the primary location of San Franscico, CA is $168,100- $312,300 Annual.
Responsibilities
Design, develop, and test robust, scalable scientific web applications, backend systems, and cloud-native architectures that power AI/ML workflows.
Build foundational AgentOps capabilities—including evaluation frameworks, observability, secure execution environments, memory/retrieval systems, and model routing—to deploy and operate AI agents at scale.
Establish AI data readiness capabilities by structuring, validating, and standardizing diverse scientific datasets to ensure reproducibility, traceability, and trustworthiness.
Develop tooling to evaluate AI/ML model performance and define new metrics for assessing AI output quality.
Partner directly with product managers, computational scientists, and research teams to translate complex scientific challenges into actionable technical specifications.
Requirements
Bachelor’s degree with 5+ years of relevant experience
Master’s degree with 3+ years of relevant experience
Join Philips to help shape the next generation of intelligent surgical robotics. In this role, you will work with robotics, software, and clinical experts to develop first-of-a-kind Physical AI solutions that advance autonomy, decision-making, and workflow intelligence for image-guided procedures.
Compensation
The pay range for this position in Cambridge, MA is $129,000 to $205,000.
Responsibilities
Develop and apply Physical AI solutions for surgical robotics by combining model-based robotics methods with multimodal foundation models, including Vision-Language-Action (VLA) models.
Design and evaluate AI solutions that combine vision, language, and robot actions for image-guided interventions and surgical robotics applications.
Develop algorithms and software in an FDA-regulated environment.
Contribute to system architecture, algorithm design, experimentation, validation strategy, and technical documentation in alignment with medical device regulatory processes.
Partner closely with system engineering, design, clinical, regulatory, product management, and business marketing teams to translate research concepts into robust, production-oriented solutions.
Leveraging artificial intelligence and machine learning tools to transform raw usage data into actionable business insights, tracking, analyzing, and reporting on usage statistics across 15+ web applications.
Responsibilities
Design and implement systems to track and monitor usage statistics across 15+ enterprise web applications
Analyze application usage data to identify trends, patterns, anomalies, and opportunities for optimization
Research, evaluate, and introduce AI and machine learning tools to automate and enhance data analysis processes
Develop predictive models and analytics frameworks to forecast application usage trends and user behavior
Create executive-level reports and dashboards summarizing key metrics, insights, and recommendations for leadership
Requirements
Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or related field from an accredited college or university
Develop and apply Physical AI solutions for surgical robotics, combining model-based robotics methods with multimodal foundation models, and contribute to system architecture, algorithm design, experimentation, validation strategy, and technical documentation in a FDA-regulated environment.
Compensation
The pay range for this position in Cambridge, MA is $129,000 to $205,000. In addition, other compensation, such as an annual incentive bonus, sales commission or long-term incentives may be offered.
Responsibilities
Develop and apply Physical AI solutions for surgical robotics
Design and evaluate AI solutions that combine vision, language, and robot actions for image-guided interventions
Develop algorithms and software in an FDA-regulated environment
Contribute to system architecture, algorithm design, experimentation, validation strategy, and technical documentation
Partner closely with system engineering, design, clinical, regulatory, product management, and business marketing teams
Requirements
Master’s or PhD in Robotics, Computer Science, Artificial Intelligence, or a related technical field
Nice to have: knowledge of C++
Nice to have: experience with robotics foundation models
Nice to have: familiarity with reinforcement learning and learning from demonstration
Design, build, and scale data and AI-driven applications that power critical business capabilities, working at the intersection of data engineering, platform development, and agentic AI.
Responsibilities
Design and build AI-powered and agentic AI applications, leveraging modern frameworks and enterprise AI platforms
Develop intelligent workflows using AI agents to automate business processes and decision-making
Contribute to end-to-end AI application development, including APIs, backend services, and user-facing integrations
Build scalable data pipelines and data products to support AI and analytics use cases
Enable self-service data access and reporting, ensuring governed and reliable data consumption
Requirements
MS or BS in a Computer Science or a science/engineering discipline
Lead the development and delivery of scalable platform capabilities, including infrastructure, tooling, and AI/ML frameworks.
Compensation
The annual salary range for this position is $143,000.00 - $286,000.00
Additional compensation includes annual or quarterly performance bonuses.
Additional compensation for certain positions may also include :
- Stock
Responsibilities
Deliver platform capabilities including infrastructure, tooling, and ML frameworks aligned with roadmap milestones and domain priorities.
Drive full software development lifecycle activities such as coding, testing, deployment, monitoring, and maintenance.
Apply cloud-native architecture principles to ensure scalability, resilience, and agility across systems.
Conduct system design reviews to validate feasibility, quality, and alignment with architectural best practices.
Build AI-driven applications and integrate ML components to support automation and multi-step reasoning.
Requirements
Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area
4 years’ experience in software engineering or related area
Master’s degree in Computer Science, Computer Engineering, Computer Information Systems, Software Engineering, or related area and 2 years' experience in software engineering or related area
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