Role Description We’re looking for a highly skilled Computational Scientist with deep expertise in computational electromagnetics, numerical methods, scientific computing, and mathematical modeling. This role will focus on the research, development, validation, and optimization of finite-difference time-domain algorithms for modeling complex electromagnetic phenomena. This is a highly specialized research role centered on advancing FDTD methods, improving numerical accuracy and stability, evaluating algorithmic tradeoffs, and developing computationally efficient implementations for high-performance simulation environments. - Conduct in-depth research and development of FDTD algorithms for computational electromagnetics. - Translate electromagnetic theory and advanced mathematical concepts into robust, discrete computational formulations. - Perform validation and accuracy studies against analytical solutions, published benchmarks, and established simulation methods. - Document research findings, algorithm designs, validation results, and technical recommendations for internal stakeholders. - Contribute to long-term research direction for advanced electromagnetic simulation capabilities. Qualifications - Advanced degree (Master’s or PhD) in Physics, Mathematics, Computer Engineering, Computer Science, or a related field with a strong focus on computational electromagnetics. - Strong experience with finite-difference time-domain methods, Maxwell’s equations, wave propagation, and numerical electromagnetics. - Ability to evaluate published methods, compare algorithmic approaches, and develop novel or improved computational techniques. - Proficiency in advanced calculus, vector calculus, differential equations, linear algebra, and modeling of physical phenomena. - Programming skills in Python, Julia, C/C++, MATLAB. - Ability to clearly articulate research findings to both technical and non-technical leadership. - Exposure to hardware acceleration, HPC, or GPU/FPGA technologies is beneficial. - Startup experience. - Government clearance is preferred. Requirements - $150,000–$220,000 per year (California). This range represents the anticipated base pay for this role; the final offer may vary based on qualifications, experience, and location. Benefits - Medical, Dental, & Vision - 100% covered premiums. - Equity - Stock Options. - 401(k) match. - WFH Hardware. Company Description Bolt is committed to building a diverse and inclusive environment in which we recognize and value each other’s differences as well as fostering a culture that promotes its core values: Professionalism, Integrity, and Respect. As an equal opportunity employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, age, disability, or status as a protected veteran.

• Lead development and evaluation of professional growing media products and engineered substrate technologies. • Lead university collaborative research for Sun Gro laboratory, greenhouse, and field trials to support product performance, formulation optimization, and commercialization. • Develop technical solutions and evaluate substrate materials for professional horticulture and controlled environment agriculture markets. • Provide technical support to Marketing, Sales, Grower Specialists, Quality, Regulatory, Operations, and R&D teams. • Support development of product specifications, technical claims, and performance positioning. • Translate technical findings into commercially relevant recommendations and support grower-focused technical initiatives. • Support grower trial programs, Sun Gro University webinar program development, and university and industry collaborations. • Monitor emerging technologies, raw materials, and market trends related to growing media and controlled environment agriculture. • Support development of next-generation growing media technologies aligned with company innovation and sustainability strategies.

Role Description The Imaging Lead (Sr. Principal Scientist) works with Clinical Imaging Scientists to support clinical trial teams in the use of medical imaging in clinical trials. The Imaging Lead provides leadership on the medical and scientific aspects of the use of imaging and oversees the work of the Clinical Imaging Scientist to ensure that timelines and deliverables are met and of high quality. The Imaging Lead leads scientific and operational initiatives and oversees the implementation of operational improvements by Clinical Imaging Scientists. This position will work closely with the Head of Clinical Imaging, Imaging Operations Lead and Clinical Imaging Scientists to provide support internally and externally, as follows: - Provide medical and scientific leadership in the use of clinical imaging in clinical development in broad categories of disease indications, or entire therapeutic areas. - Interface with internal stakeholders and external collaborators (such as imaging service vendors) to ensure seamless execution and support for the imaging component of clinical trials. - Design and oversee existing imaging strategies for early and late-stage clinical trial support. - Exercise foresight and judgment in planning, organizing, and guiding complex imaging projects. - Work across departments to advance imaging processes, and as needed, challenge the status quo to foster innovation. - Work with quality and compliance teams for quality-related decision making internally, and assist with vendor audits as needed. - In regulatory inspections, provide responses to any imaging-related information requests. - Identify needs and lead internal initiatives and collaborations, with a focus on scientific innovation to advance the application of imaging in clinical development and decision-making. - Make complex decisions and troubleshoot in ambiguous situations across departments. - Regularly interact as an imaging subject matter expert with clinical management in early and late-stage clinical trials establishing a track record of successfully applying high level scientific judgement in complex situations. - Develop expertise and leadership in topics and processes that apply to and affect the entire program. - Support industry presence for our company in clinical imaging at national meetings. - May provide strategic direction through leadership of up to three direct reports. Qualifications - Education Minimum Requirement: MD required. - At least 6 years of experience supporting clinical development in industry is preferred. - Knowledge of the use of imaging in clinical trials for evaluation of efficacy and safety. - Skill in authoring and reviewing imaging documents for clinical trials. - Regulatory experience supporting drug filings. Requirements - Clinical Development - Clinical Medicine - Clinical Trial Development - Clinical Trials - Data Analysis - Imaging Technologies - Medical Imaging - Regulatory Compliance - Scientific Leadership - Scientific Publications - Strategic Leadership Benefits - Medical, dental, vision healthcare and other insurance benefits (for employee and family) - Retirement benefits, including 401(k) - Paid holidays - Vacation - Compassionate and sick days

Role Description We’re looking for applied scientists with deep expertise in machine learning, optimization, building data products, and/or statistical models. As part of a small product team you will have full ownership over your domain, so you should be a person who dreams big, then executes well. At Thumbtack, the Applied Science team is responsible for a wide variety of problems spanning AI, machine learning, statistics, and computer science: - Improve customer and service provider matching. - Model complex relationships in the presence of many confounding factors. - Characterize marketplace dynamics. - Build AI features. - Build a healthy marketplace. The Pro Growth pod is responsible for the science behind acquiring and activating the right pros, at the right time, in the right markets, to keep the marketplace healthy and growing. As an Applied Scientist on Pro Growth, you’ll build models and experiments that shape who joins Thumbtack, how they get activated, how we forecast supply needs by market and trade, and how we accelerate time-to-value for new pros. You’ll work shoulder-to-shoulder with engineers, product managers, and other applied scientists on a portfolio that ranges from incrementality and market forecasting to LLM-powered onboarding agents. You’ll own end-to-end: from problem framing, through experiment design, through deploying models to production, through measuring business impact. What you’ll do: - Initiate and drive applied science projects to completion, with a focus on the business impact of those projects on pro acquisition, activation, retention, and supply health. - Develop, deploy, and optimize machine learning models for supply-side problems, including lead scoring and pro acquisition targeting, market-level supply forecasting, pro onboarding and activation, retention and churn prediction, and agentic onboarding workflows. - Design and execute well-powered marketplace experiments to measure model and product impact on supply and business metrics. - Analyze structured and unstructured data such as marketplace interactions, pro profiles, external supply signals, to identify trends, opportunities, and risks related to supply health. - Collaborate closely with engineering, product management, business development, and marketing teams to define problems, develop end-to-end solutions, and ensure successful implementation and monitoring of ML systems in production. - Maintain the right balance between speed of execution and scientific rigor when designing solutions for a fast-paced marketplace environment. - Contribute to evolving the team’s agentic-first ways of working, including LLM-powered tooling, eval coverage, and the use of AI agents in day-to-day applied science. Qualifications - Master’s degree in a quantitative field (Computer Science, Machine Learning, Statistics, Operations Research, Economics, or related), or equivalent industry experience. - 3+ years of industry experience as an applied scientist, data scientist, or ML engineer with ownership of production ML models. - Solid knowledge of machine learning techniques such as classification, regression, embedding-based approaches, and causal inference. - Ability to effectively read, write, and debug code in programming languages such as Python and SQL. - Good knowledge of probability and statistics, including experimental design, optimization, and causal inference. - Ability to break down complex problems rigorously and understand the tradeoffs necessary to deliver impactful projects. - Ability to communicate clearly and effectively to cross-functional partners of various technical levels. - Demonstrated ability to drive seamless execution end-to-end on at least one production ML project. Requirements - Expected salary ranges for candidates living in Ontario and British Columbia: $161,500 - $209,000. - Actual offered salaries will vary based on various factors, such as calibrated job level, qualifications, skills, competencies, and proficiency for the role. Benefits - Thumbtack embraces diversity and is an equal opportunity workplace. - We do not discriminate on the basis of sex, race, color, age, pregnancy, sexual orientation, gender identity or expression, religion, national origin, ancestry, citizenship, marital status, military or veteran status, genetic information, disability status, or any other characteristic protected by law. - We consider for employment qualified applicants with arrest and conviction records, consistent with applicable law. - Thumbtack is committed to providing reasonable accommodation to individuals with disabilities.