#Engineering
#Python
#TensorFlow
#PyTorch
#scikit learn
#Data
#Software Engineering
#Problem Solving
At MainStreet, we are dedicated to helping startup founders and small business owners save time and money. Since our start in 2019, we have successfully saved our customers over $100 million by demystifying complex tax credits. We have grown from a three-person team to a thriving organization backed by a $60 million Series A, and we are now looking for a Senior Machine Learning Engineer to join us on a full-time, hybrid basis. Our team is composed of former employees from companies like Google, Slack, and Coinbase, and we pride ourselves on being a group of big thinkers who move fast and value collaboration.
Responsibilities
- Design, build, and optimize machine learning models that integrate directly into our products to solve complex business challenges.
- Collaborate closely with our software engineering teams to deploy models into production environments and monitor their performance over time.
- Conduct research on state-of-the-art algorithms and prepare high-quality datasets to ensure our systems remain accurate and effective.
Requirements
We are looking for someone with a strong technical background who is passionate about building intelligent systems. You should have a solid foundation in Computer Science or a related field, typically supported by a Bachelor's or Master's degree, though a Ph.D. is also welcomed. We value candidates who possess the following:
- Extensive experience in developing and deploying machine learning models in real-world applications.
- Proficiency in Python and experience using industry-standard libraries such as TensorFlow, PyTorch, or scikit-learn.
- A deep understanding of mathematics, statistics, and software engineering principles, including the ability to write clean, maintainable code.
- Strong problem-solving skills and the ability to communicate complex technical concepts to diverse stakeholders.
What we offer
We believe in rewarding our team for their hard work and dedication. This position offers a base salary range of $135,000 to $235,000, depending on your level of experience. In addition to competitive pay, we provide a comprehensive benefits package and a supportive work environment:
- A robust equity program with significant upside potential.
- Full health coverage, including medical, dental, and vision insurance.
- Financial security through disability insurance, life insurance, and a 401k plan.
- The flexibility of a hybrid work schedule.



