Lead the technical roadmap and development of Android applications, integrating AI technologies and ensuring high performance for enterprise embedded systems.
Join an international, cross-functional team to build AI-driven solutions for background screening, splitting time between delivering new products and supporting production ML workloads.
Responsibilities
Work within a Scrum team on new products and initiatives, from design through delivery.
Provide dedicated support for existing production AI/ML workloads, ensuring reliability, performance, and continuity.
Build secure, well-optimized solutions using modern AI tooling.
Develop and productionize ML models, and design end-to-end testing strategies to hold delivered solutions to a high quality bar.
Deliver API integrations and data pipelines, optimizing for latency, throughput, and cost.
Senior Data Scientist who designs, develops, and implements machine learning models, AI systems, and statistical modeling to generate actionable insights for business problems and product development.
Compensation
Pay Range: $108,960.00 - $163,440.00 Annual
Responsibilities
Designs, develops, programs and implements Machine Learning Models (Clustering, Classification or Regressions models).
Performs Statistical Modelling and Measurements by applying data engineering, feature engineering, statistical methods, ML modelling and AI techniques.
Develops and applies novel models on customer data to identify areas to increase profits and reduce losses.
Partners with experimentalists to translate models into testable hypotheses.
Lead the team building out AI Observability and Evaluation features used by developers to measure the accuracy, relevance, performance and safety of artificial intelligence models, agents and RAG applications.
Responsibilities
Perform primary research, interviewing end-users and buyers to deeply understand their AI Observability and Evaluation needs and benefits sought.
Partner with engineers and technical stakeholders to articulate, scope, and deliver well integrated AI Observability and Evaluation features and product line extensions.
Build on Chronosphere’s industry leading observability platform to enable the systemic testing, measuring and benchmarking of AI models, particularly Large Language Models and agentic AI applications.
Set KPIs to articulate and measure intended value and impact for customers.
Develop comprehensive roadmaps and deliver plans to achieve stated outcomes for customers and the business.
Lead advanced metrology and analytics research across Singapore and the USA, developing data analytics and modeling solutions for X-ray metrology.
Locations (2)
Singapore, Singapore
United States
Compensation
Onto Innovation Inc. offers competitive salaries and a generous benefits package
Responsibilities
Interface with application scientists, product/program management, and marketing team to understand and analyze customers’ requirements and technology gaps.
Innovate and develop new concepts to address customer challenges and close identified technology gaps, working both independently and within cross‑functional teams.
Collect and analyze technical data, conduct literature reviews, propose new methodologies or improvements to existing solutions.
Conceptualize, design, prototype, and fine‑tune algorithms and find the best approach to solve a specific problem.
Develop advanced algorithms for X-ray metrology (CD‑SAXS, XRD, XRR etc.) data analysis, profile reconstruction, and parameter extraction.
Ph.D. or Master’s degree in Physics, Applied Physics, Chemical Physics, Materials Science, Electrical Engineering, Mathematics and Statistics, Optics or a related field.
