Conduct focused technical research under engineering mentorship. Define research questions, formulate hypotheses, implement Python models and experiments, compare approaches against baselines, evaluate generalization and computational cost, and deliver reproducible code with a concise technical report. The role applies quantitative research, mathematical modeling, statistics, optimization, predictive modeling, scientific computing, and time-series analysis to practical product and business problems.
Why Join Us
Research and Development at Tractian
What You Will Do
Responsibilities
Requirements
Helpful Experience
What You Will Gain
Tractian combines hardware, software and AI to help industrial teams detect equipment problems early and prevent costly downtime. Our technology supports more than 3,761 plants and monitors over 370,000 industrial assets. As a Y Combinator company, we’ve been recognized on the Forbes AI 50, named a G2 Leader and ranked No. 24 on Deloitte’s Technology Fast 500 in North America. Join us to help build technology that keeps industry running.
Research and Development turns open technical questions into tested approaches. This track combines quantitative research, programming and experimentation to explore problems relevant to Tractian’s products and business.
Own a focused research problem with guidance from an engineering mentor. Define the question, implement a baseline and compare alternative approaches. Use the results to explain what works, what remains uncertain and what the team should investigate next.
- Review relevant research and translate an open problem into testable hypotheses.
- Implement models and experiments in Python, documenting data, assumptions and methods.
- Compare approaches against meaningful baselines; assess generalization, failure cases and computational cost.
- Deliver reproducible code and a concise technical report explaining the findings, limitations and recommended next steps.
- Currently pursuing a PhD in Physics, Computer Science, Machine Learning, Engineering, Applied Mathematics, Statistics or a related quantitative field.
- Strong Python programming skills and foundations in mathematical modeling, statistics and experimental design.
- Research experience developing or evaluating computational methods through code and experiments.
- Ability to investigate unfamiliar problems independently, question assumptions and communicate what the evidence supports.
- Experience with predictive modeling, optimization, scientific computing or time-series analysis.
Familiarity with tools such as NumPy, JAX or PyTorch is useful. Papers, research software and technical projects are welcome; publications are not required.
What You Will Gain
Experience applying doctoral research skills to a practical technical problem, with mentorship on experimentation, implementation and communicating findings that inform engineering decisions.
Similar Jobs
Blockchain • Fintech • Payments • Financial Services • Cryptocurrency • Web3
Provides legal leadership for M&A, strategic transactions, venture investments, and financial partnerships with banks and financial institutions. Independently manages deals from structuring and diligence through negotiation, signing, closing, and integration. Drafts and negotiates transaction and financial services agreements, coordinates cross-functional stakeholders, develops legal playbooks, and leads AI-enabled workflow improvements while protecting confidentiality, privilege, and legal judgment.
Top Skills:
BlockchainDigital AssetsGenerative AiPayments TechnologyStablecoins
eCommerce • Fashion • Retail • Sales • Wearables • Design
Lead sales floor performance and mentor peers while delivering exceptional brand storytelling and customer service. Drive personal and store sales, champion omnichannel and social/virtual selling, support live-stream and social content, perform opening/closing procedures, and contribute to an inclusive team culture. Assist with events, capture client feedback, and maintain product knowledge across categories.
Top Skills:
Live-Stream ShoppingOmnichannelSocial MediaSocial SellingVirtual Selling
Artificial Intelligence • Automotive • Greentech • Information Technology • Machine Learning • Software • Cybersecurity
Supervises a Customer Care call center team, ensuring timely customer support, quality standards, issue resolution, schedule adherence, and staff development. The role serves as an escalation point for complex customer, technical, and process issues; monitors performance; improves customer engagement and business processes; manages team projects; and partners with customers on preventive maintenance and DOT compliance.
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
