Senior ML Engineer

Shopmonkey's vision is to help every shop thrive by equipping them with the tools they need to run and grow their business. Our cloud based all-in-one shop management software takes owners and technicians from quote to cashing out a satisfied customer. Our software has a modern and intuitive UI and our backend is powered by the latest technologies so our clients can focus on the things they do best. As a Senior ML Engineer at Shopmonkey, you will be a part of a globally distributed engineering team working closely with your product and design counterparts. You will have the chance to work on the frontier of ML modeling, data pipelines, MLOps, and agentic AI systems to meet real-world auto shop needs. Shopmonkey has the structured data, workflows, and operational maturity to deliver ML powered systems that are not only intelligent but trusted and useful. You’ll move fast to bring ML systems from discovery all the way through production, helping to shape the future of the automotive care experience. For any Bay area based candidates, this would be hybrid with 2-3 days/week office at our Morgan Hill, CA office for collaboration.

What you will do:

• Design, build, and ship production-ready ML models across a range of problem spaces: regression, classification, clustering, ranking, and recommendation systems.

• Conduct end-to-end development of ML systems: data gathering, experimentation, feature engineering, model training, evaluation, deployment, and monitoring.

• Define and track model performance metrics, run A/B tests, and iterate based on real-world feedback.

• Help design and implement shared feature stores so that reusable features can serve multiple models consistently in both batch and real-time contexts.

• Work within a modern MLOps environment to ensure scalable and reliable deployment of models.

• Contribute to training infrastructure, model versioning, and CI/CD pipelines for ML workflows.

• Work closely with data scientists and data engineers to develop data driven solutions that are high impact for businesses.

• Translate complex ML workflows into digestible updates for cross-functional stakeholders.

• Contribute to backlog velocity by owning appropriate tickets and delivering high-impact work in a collaborative, fast-paced environment.

• Implement NLP and LLM-powered components for sentiment analysis, real-time conversation evaluation, and behavior optimization.

• Contribute to analytics and predictive features such as no-show prediction and sentiment dashboards.

• Help build and ship AI agents that help automate key auto-shop business processes.

We are looking for people who have:

• Minimum of 5+ years of industry experience in applied machine learning; advanced degrees (Master’s or PhD) may offset years of experience.

• Proven experience shipping models into production (not just proof-of-concepts or notebooks).

• Proficiency in Python; experience with ML frameworks like PyTorch or Tensorflow.

• Strong foundations in classical ML/DL. Including some of the following: regression, classification, clustering, ranking, feature engineering, model evaluation, and experimentation.

• Bachelor’s degree in a STEM field, or equivalent practical experience.

• Strong collaboration and communication skills—comfortable working with PMs, designers, engineers and other cross functional team members.

Nice to have:

Candidates should have some experience in one or more of the following areas.

• Understanding of MLOps principles: model versioning, orchestration, evaluation, monitoring, model serving, and CI/CD for ML.

• Understanding of MLOps, and experience with modern tooling like MLFlow, DVC, Airflow, etc.

• Experience with LLMs and NLP frameworks (e.g., TensorFlow, Hugging Face, LangChain).

• Experience with/interest in LLM workflows and agentic workflows

• Cloud infrastructure experience, (e.g. GCP, AWS).

• Familiarity with vector databases (e.g. Pinecone, pgvector) and embedding-based retrieval or similarity search.

• Strong SQL skills for working with large-scale data.

• Experience designing or contributing to feature stores (e.g. Feast, VertexAI Feature Store, Tecton) for shared, reusable feature pipelines.

Bonus Points:

• Prior experience working at a high growth startup.

• Experience building consumer-facing agents in vertical SaaS, in the automotive industry (business or consumers).

• Background in data processing or real-time analytics.

• Experience with Snowflake or other large-scale data warehouse solutions.

In the United States, the range is typically a salary of $165,000 to $200,000 + bonus + equity + benefits. The range provided is Shopmonkey’s reasonable estimate of the base compensation for this role. The actual amount will be based on job-related and non-discriminatory factors such as location, experience, training, skills, and abilities. Consult with your Recruiter during the initial call to determine a more targeted range based on these job-related factors. In addition to this base compensation company stock options and benefits as outlined below are included.

Why Shopmonkey?

Shopmonkey has become an amazing environment where employees feel that they are valued as people, and not just worker bees. To ensure that our team thrives, we invest in the following perks (benefits below are mainly for U.S. based, full-time employees). Other benefits vary upon location outside of the United States, and employment status:

💪🏼 Health & Wellness

• Medical, dental, vision, and life insurance benefits available the 1st of the month following hire date

• Short term and long term disability

• Employee assistance program

• Reimbursement for a personal health and wellness membership

• Generous parental leave

• 401(k) available upon hire

✈️ Time Off

• 11 paid holidays

• Flexible time off - take the time off you need!

🥰 Giving Back

• Matching donations for approved charitable organizations

• Group volunteer efforts

Check out our founder’s story, life page, or hear from real employees about what it’s like to work at Shopmonkey.

Join our team of hungry, humble, smart people who love what they do, and change the auto industry by helping every shop thrive.

About the Industry

The U.S. is the second largest passenger vehicle market with more than 260 million registered passenger vehicles, and the global car repair market is estimated to be worth more than $500B. Shopmonkey aims to change the status quo and enable auto shops to become more efficient and give their customers a more delightful experience.

About Shopmonkey

Shopmonkey is the leading auto-repair shop software company; it is a cloud-based solution that helps auto-repair shops consolidate tools, save time, and streamline their entire operation onto a simple, easy-to-use platform.

Headquartered in Silicon Valley and trusted by more than 3,500+ auto shops across the U.S. and Canada, Shopmonkey aims to change the status quo of the car repair market, estimated to be worth more than $500B.

In 2021 Shopmonkey raised a $75 million Series C, supported by top-tier Silicon Valley venture capital firms Bessemer Venture Partners, Index Ventures, Headline, I2BF, and ICONIQ Growth.

In 2022, Shopmonkey was named #4 on Forbes' annual ranking of America's Best Startup Employers list (and #1 in Business Products & Software Services). Shopmonkey was once again named as one of America's Best Startup Employers by Forbes in 2023, 2024, and 2026!

Shopmonkey is committed to building a diverse and inclusive team. We are looking for team members from all backgrounds that are committed to the Shopmonkey mission.

Shopmonkey provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

Shopmonkey is committed to the full inclusion of all qualified individuals. In keeping with our our commitment, Shopmonkey will take the steps to assure that people with disabilities are provided reasonable accommodations. Accordingly, if reasonable accommodation is required to fully participate in the job application or interview process, to perform the essential functions of the position, and/or to receive all other benefits and privileges of employment, please contact our Talent Team at [email protected].

Please note: Shopmonkey will never request sensitive information such as your social security number, bank account information, or other non-publicly available information during the application and interview process. If an applicant is extended an offer of employment, such sensitive information will be requested at that time. Shopmonkey will never ask you to receive and ship packages or goods as part of the interview. Other practices to be on alert for:

• Contact initiated via unsolicited text message or cold call. Shopmonkey does not follow up with candidates through instant messaging applications.

• Our Talent Acquisition team only corresponds from email addresses with the domain ‘@Shopmonkey.io’. If a generic email ID ending with Gmail/Yahoo or other domain is used while receiving a job offer or interview call, there is a likelihood of a scammer.

• While some of our jobs can be found on third party job sites, all of our current job opportunities and descriptions are posted on Shopmonkey’s Careers page, or our official LinkedIn Company Page

The U.S. Federal Trade Commission has published helpful articles to help individuals learn more about protecting themselves from recruiting scams and financial fraud. If you believe you were a victim of such a scam, you may contact your local law enforcement agencies. Shopmonkey is not responsible for any claims, liability, losses, damages, or expenses resulting from scammers or impersonators.