Join a fast-moving team of world‑class researchers engaged in groundbreaking research on machine learning and large language models, developing predictive models to advance our AI capabilities.
Compensation
The salary range for this role is $150,000 - $230,000.
Responsibilities
Develop and refine machine learning architectures optimized for advanced conversational flow
Conduct comprehensive analyses to support decision‑making and improve the effectiveness of our AI solutions
Apply advanced mathematical and machine learning techniques to solve specific problems such as optimizing tenant engagement strategies, predicting tenant behavior, and improving customer interaction processes
Stay abreast of the latest research in machine learning and AI, and apply innovative approaches to improve our products
Work closely with cross‑functional teams, including engineering, product development, and data science, to integrate and deploy machine learning models
Requirements
Ph.D. in Mathematics, Theoretical Physics, Computer Science, or a related field
Quantitative Analyst co‑op/internship focused on data analytics, modeling, and machine learning within BMO’s financial services.
Compensation
$65,000.00 - $140,000.00
Responsibilities
Develop and leverage APIs to extract, integrate, and automate data workflows
Create data visualizations, reports, and interactive dashboards
Apply Bayesian statistics and machine learning techniques to real‑world problems
Design and construct new processes for modeling data
Develop predictive models and machine learning algorithms
Requirements
Master's degree or PhD in Quantitative Finance, Financial Engineering, Statistics, Mathematics, Computer Science, Data Science, Economics, or related quantitative discipline
Nice to have: machine learning in financial services
Nice to have: cloud‑based analytics platforms
Nice to have: advanced quantitative research methods
The Machine Learning Scientist II works within the Marketplace Science team to develop and operationalize applied science driven marketplace levers focused on trust, safety, and health.
Locations (2)
Austin, Texas, United States
Seattle, Washington, United States
Compensation
The total cash range for this position in Austin is $112,000.00 to $156,500.00. Employees in this role have the potential to increase their pay up to $179,000.00... The total cash range for this position in Seattle is $112,000.00 to $156,500.00.
Responsibilities
Own machine learning projects end to end
Develop and improve the Marketplace Health Model system
Translate complex marketplace challenges into scalable machine learning and statistical modeling solutions
Partner closely with product, engineering, operations, trust and safety stakeholders
Design experiments and analyses to assess model performance
Requirements
Graduate degree in a quantitative field (such as Computer Science, Statistics, Machine Learning, Operations Research, or similar)
Software Engineer Data & AI II (Full Time) – United States
You are a passionate software engineer with expertise in developing scalable data pipelines, designing robust analytics platforms, and building infrastructure to support machine learning initiatives.
Locations (4)
San Jose, California, United States
New York, United States
Washington, United States
Illinois, United States
Compensation
The applicable full salary ranges for this position, by specific state, are listed below:
New York City Metro Area:
$125,700.00 - $203,100.00
Non-Metro New York state & Washington state:
$111,700.00 - $180,800.00
* For quota-based sales roles on Cisco’s sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined.
** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.
Senior Software Engineer to join the Inspection Business Unit (IBU) at Onto Innovation, responsible for developing and maintaining complex inspection platform software, integrating machine learning, image processing, and optics technologies.
Compensation
Base Salary Range: $115,200.00 - $172,800.00, offered in good faith and based on experience, location, and qualifications.
Responsibilities
Build and continuously refine an accurate mental model of the full Onto inspection platform—optics, motion, electronics, image acquisition, and software stack.
Translate customer problems and application requirements into well-scoped engineering tasks by reasoning across subsystem boundaries.
Agility to zoom from system-level architecture down into any specific areas: databases, algorithm performance, hardware, data flow, GPUs, GUIs, etc.
Participate in New Product Development (NPD) alongside hardware engineers, application engineers, Technical Project Managers, and Program/Product Managers.
Apply machine learning, image processing, computer vision, mathematics, and optics to develop algorithms integrated into Onto inspection platforms.
Junior Research ScientistNewEliseAI · San Francisco, US
Software Engineer Data & AI II (Full Time) – United StatesCisco · San Jose, US+3 more