United States, United States
February 9, 2024
Apply NowJob description
Cofactr is on a mission to make hardware as agile and scalable as software. We’re leveraging better data and AI to build best-in-class tools for electronics supply chain management. Cofactr is a single platform for procurement, purchase, and management of electronic components that works seamlessly with integrated logistics to assure that the physical management of electronics parts is always responsible and efficient.
We're a Y Combinator W22 company with growing revenue and backed with significant venture funding from VCs like Bain Capital Ventures.
The Team
The Cofactr team is innovative, creative, and collaborative, with diverse professional backgrounds and a passion for solving big problems. We’re hiring team members who are energized by the opportunity to make one of the most complex challenges in the world, the global electronics supply chain, into a scalable and intuitive tool. We value transparency and trust amongst our team and translate this approach into our evolving product.
The Role
Our growing Data team connects Cofactr to the world’s electronics supply chain data. The team is focused on building an integration layer that seamlessly unites a broad range of market participants into a single cohesive system, eliminating complexity and overhead for users. At the center of that system sits a large-scale knowledge base of electronic parts that differentiates Cofactr from competitors in terms of data quality and coverage.
Your role will be dynamic, leveraging your skills in both ML and software development to make key contributions to the data team. Your work will shape how we use data to deliver value to the best brands in electronics. As Cofactr is an early stage startup, the bounds of your role are flexible. While the core problems you’ll tackle are ML in nature, you’ll be expected to conduct analysis and help build tooling as development bottlenecks shift. This is a great opportunity for a machine learning generalist who wants to tackle diverse projects with creative freedom, driving innovation in the electronics supply chain landscape.
What you'll do
To conform to U.S. Government technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.
Our cash compensation amount for this role is targeted at $160,000 - $185,000/year and equity at .1-.5%/year. Final offer amounts are determined by multiple factors including candidate experience and expertise.
We're a Y Combinator W22 company with growing revenue and backed with significant venture funding from VCs like Bain Capital Ventures.
The Team
The Cofactr team is innovative, creative, and collaborative, with diverse professional backgrounds and a passion for solving big problems. We’re hiring team members who are energized by the opportunity to make one of the most complex challenges in the world, the global electronics supply chain, into a scalable and intuitive tool. We value transparency and trust amongst our team and translate this approach into our evolving product.
The Role
Our growing Data team connects Cofactr to the world’s electronics supply chain data. The team is focused on building an integration layer that seamlessly unites a broad range of market participants into a single cohesive system, eliminating complexity and overhead for users. At the center of that system sits a large-scale knowledge base of electronic parts that differentiates Cofactr from competitors in terms of data quality and coverage.
Your role will be dynamic, leveraging your skills in both ML and software development to make key contributions to the data team. Your work will shape how we use data to deliver value to the best brands in electronics. As Cofactr is an early stage startup, the bounds of your role are flexible. While the core problems you’ll tackle are ML in nature, you’ll be expected to conduct analysis and help build tooling as development bottlenecks shift. This is a great opportunity for a machine learning generalist who wants to tackle diverse projects with creative freedom, driving innovation in the electronics supply chain landscape.
What you'll do
- Analyze: Create algorithms to identify data issues and track changes in data quality and coverage across time
- Build tools: Help build an innovative parametric search system so that engineers can find the parts they need
- Parse: Extract critical information about electronic products from unstructured (e.g., PDFs) and semi-structured data sources (e.g., web pages). You might fine-tune a multimodal model to do diagram comprehension, or ensemble a diverse set of models that have different strengths and weaknesses to extract technical specifications from datasheets
- Link entities: Create models to resolve products, organizations, and categories mentioned in external systems to known entities in Cofactr's knowledge base
- Model risk: Use historical market data to inform customer buying decisions
- Recommend products: Develop a product recommendation system to help customers find the best parts for their project
- Track record of shipping production code
- Actively contributing to ML projects
- Proficient knowledge of Python
- Solid understanding of foundational concepts and algorithms in statistics and machine learning, including NLP, neural networks, dimensionality reduction, reinforcement learning, etc. You should have a foundation that enables you to research effectively and unblock yourself during development
- General understanding of machine learning frameworks and tools like Polars, Pandas, numpy, SpaCy, Pytorch, Jax, TensorFlow, and Huggingface. You don’t have to know all of those, but you should feel effective in an ML development stack
- Understanding of statistical and machine learning model development, testing, and deployment
- Experience with Docker and Git
- Web dev knowledge would be useful for helping to build internal tools for human-in-the-loop tasks, but is not expected
- Competitive salary and equity
- 100% employee premium coverage of health, dental, and vision plans
- HSA and FSA offerings
- 401(k) with 4% company matching
- Unlimited time off policy
- Commuter benefits with a company contribution
To conform to U.S. Government technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.
Our cash compensation amount for this role is targeted at $160,000 - $185,000/year and equity at .1-.5%/year. Final offer amounts are determined by multiple factors including candidate experience and expertise.
