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Senior ML Engineer
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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 hiring@shopmonkey.io.
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.
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Senior Staff Software Engineer - Application Engineering
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About IonQ:
IonQ, Inc. [NYSE: IONQ] is the world’s leading quantum platform and merchant supplier - delivering integrated quantum solutions across computing, networking, sensing, and security. IonQ’s newest generation of quantum computers, the IonQ Tempo, is the latest in a line of cutting-edge systems that have been helping customers and partners including Amazon Web Services, and AstraZeneca achieve 20x performance results and accelerate innovation in drug discovery, materials science, financial modeling, logistics, cybersecurity, and defense. In 2025, the company achieved 99.99% two-qubit gate fidelity, setting a world record in quantum computing performance.
Headquartered in College Park, Maryland, IonQ has operations in California, Colorado, Massachusetts, Tennessee, Washington, Italy, South Korea, Sweden, Switzerland, Canada, and the United Kingdom. Our quantum computing services are available through all major cloud providers, while we also meet the needs of networking and sensing customers across land, sea, air, and space. IonQ is making quantum platforms more accessible and impactful than ever before.
We are looking for a Senior Staff Software Engineer for Application Engineering. As a Sr Software Engineer on the Applications Engineer team, you’ll be part of a cross-functional team whose mission is to deliver real-world applications and value from the leap forward in computing enabled by quantum technology.
We don't just build the world's best quantum computers - we apply cutting edge quantum computing tools to real world problems. Until now, our team of Applications Scientists have been building prototypes, working closely with our customers. Our new department, Applications Engineering, will ultimately help transform proven quantum computing use-cases pioneered by our scientists into production applications, making those innovations available to more people and businesses by packaging and deploying these tools as SaaS applications.
But first, we must mature existing proof-of-concept quantum code into production grade applications. As a hands-on team lead for a new engineering team, you will work on enhancing developer experience (DevEx) by applying best practices to research-grade code. You will also set up CI / CD pipelines, software packing tools, and pre/post flight tests for new algorithms as they go into deployment. Where possible you will also be in charge of optimizing and parallelizing traditional algorithms, to reduce pre-processing and post-processing workloads. You will spearhead a new team taking newly invented quantum applications, and turning them into well defined modules of reliable SaaS applications. Think of it as being a forward-deployed engineer for quantum computing applications; the strongest candidates will be generalists with wide-ranging interests.
This team will work closely with Developer Tools, Infrastructure, and Product teams to solve problems by choosing the right technologies, and standardizing and automating those solutions. The right engineer will be comfortable working on refining chemistry simplification via Quantum Computing tool one quarter, and turning a novel quantum topology solver into a service the next - and love pair programming with scientists. They’ll bring the quantum expertise; you bring the deep and broad experience in classical programming.
Responsibilities:
- Partner with Application scientists to help deliver cutting-edge solutions for customers
- Elevate Applications code quality generally through architectural review, code review, standards, and best practices
- Improve Applications pace of delivery by creating CI / CD pipelines and other packaging automation, as well as test infrastructure and coverage
- Help productize computing code, especially improving data processing in pre-quantum and post-quantum processing steps
- Work closely with peers in Applications, Developer Tools, and Product teams to share best practices and feedback on internal tools
- Reporting to the Director of Application Engineering, help hire and mentor developers on the team
You’d be a good fit with:
- 12+ years of experience as a backend or full-stack developer, preferably in Python or Golang
- 5+ years of experience in setting up and maintaining CI / CD pipelines, in Github Actions, Jenkins, or similar tools
- 5+ years of experience in C/C++ or Rust
- 3+ years of experience in Docker, k8s, or similar containerization technologies
- A track record of shipping containerized applications that solve real business problems
- Previous work in scientific computing, quantum computing, or a related field
- Daily usage of augmented coding tools like Claude or Gemini
You’d be a great fit with:
- 5+ years of experience in scientific computing, especially with data analysis using numpy, pandas, or similar
- Experience in HPC or performance optimization
- Experience in converting traditional algorithms into CUDA, OpenMP workflows, or similar parallelization experience
- Experience with workflow orchestration engines like Airflow, Dagster, or Temporal
Location: This position can work onsite or hybrid from our office in Bothell, WA; College Park, MD; or Boulder, CO
Travel: 5% for quarterly travel for collaboration
Job ID: 1312
The approximate base salary range for this position is $192,979 - $252,659. The total compensation package includes base, bonus, and equity.
Compensation will vary based on individual factors such as education, qualifications, and experience of the final candidate(s), specific office location, and calibration against relevant market data and internal team equity. Posted base salary figures are subject to change as new market data becomes available. Our benefits include comprehensive medical, dental, and vision plans, matching 401K, unlimited PTO and paid holidays, parental/adoption leave, legal insurance, and a home technology stipend. Details of participation in these benefit plans will be provided when a candidate receives an offer of employment.
At IonQ, we believe in fair treatment, access, opportunity, and advancement for all while striving to identify and eliminate barriers. We empower employees to thrive by fostering a culture of autonomy, productivity, and respect. We are dedicated to creating an environment where individuals can feel welcomed, respected, supported, and valued.
We are committed to equity and justice. We welcome different voices and viewpoints and do not discriminate on the basis of race, religion, ancestry, physical and/or mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, transgender status, age, sexual orientation, military or veteran status, or any other basis protected by law. We are proud to be an Equal Employment Opportunity employer.
US Technical Jobs. The position you are applying for will require access to technology that is subject to U.S. export control and government contract restrictions. Employment with IonQ is contingent on either verifying “U.S. Person” (e.g., U.S. citizen, U.S. national, U.S. permanent resident, or lawfully admitted into the U.S. as a refugee or granted asylum) status for export controls and government contracts work, obtaining any necessary license, and/or confirming the availability of a license exception under U.S. export controls. Please note that in the absence of confirming you are a U.S. Person for export control and government contracts work purposes, IonQ may choose not to apply for a license or decline to use a license exception (if available) for you to access export-controlled technology that may require authorization, and similarly, you may not qualify for government contracts work that requires U.S. Persons, and IonQ may decline to proceed with your application on those bases alone. Accordingly, we will have some additional questions regarding your immigration status that will be used for export control and compliance purposes, and the answers will be reviewed by compliance personnel to ensure compliance with federal law.
US Non-Technical Jobs. Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Accordingly, we will have some additional questions regarding your immigration status that will be used for export control and compliance purposes, and the answers will be reviewed by compliance personnel to ensure compliance with federal law.
If you are interested in being a part of our team and mission, we encourage you to apply!
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Data Engineering Intern (AI & Automation)
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About your role
We are looking for a forward-thinking Data Engineering Intern to join our team for Summer 2026. This isn't just a role about moving data from point A to point B; it’s about rethinking how those pipelines are built. You will sit at the intersection of core infrastructure and AI, building robust ETL processes while leveraging AI technologies to automate the very workflows you create.
Your mission is dual-purpose: you will support our Business Intelligence efforts and directly influence our product roadmap by turning raw data into actionable insights through advanced dashboards and automated workflows.
A Day in the Life
- Build & Orchestrate: Design, develop, and maintain ETL pipelines to ingest data into our Snowflake warehouse using Python, SQL, and Airflow.
- AI-Driven Automation: Implement AI-powered solutions to streamline engineering tasks, including:
- Automating code generation and documentation.
- Building AI-driven data quality checks and anomaly detection.
- Developing "self-healing" pipelines that can identify and alert on ingestion errors.
- Insight Generation: Use Jupyter Notebooks and Streamlit to analyze data and build internal tools that help our product team make data-driven decisions.
- Visualization: Create high-impact dashboards in Tableau that translate complex data into a clear narrative for stakeholders.
- Agile Collaboration: Participate in daily Scrum huddles, manage tasks via Jira, and work closely with product owners and QA to promote code to production.
- Cloud Infrastructure: Interact with cloud services via CLI and manage containerized environments using Docker and Kubernetes.
What you’ll need
- Academic Status: Currently pursuing an undergraduate degree with a targeted graduation date in 2026 or early 2027, or pursuing a degree in Computer Science, Data Science, or a related quantitative field.
- Programming Mastery: Expertise in Python and SQL
- Infrastructure Mindset: A strong understanding of Data Warehousing (Snowflake) and ETL orchestration (Airflow).
- DevOps Curiosity: Familiarity with CLI, Docker, and Kubernetes for managing cloud-based environments.
- Analytical Toolkit: Experience with Jupyter Notebooks, Tableau, or Streamlit.
- Problem Solver: A proactive approach to using AI/LLMs to automate repetitive tasks and improve system reliability.
The Summer "Win"
By the end of your 10-week internship, you will have designed and deployed a functional ETL pipeline that feeds into a custom Insights Dashboard. Your work won't just sit in a folder, it will be used to influence our official product roadmap.
Interview Process
- Recruiter Phone Screen
- Technical Assessment
- Hiring Manager Interview
- Team Interview
Duration: June 8, 2026 - August 14, 2026, working 40 hours per week
- San Francisco Bay Area, CA: $50.00
- California (outside of San Francisco Bay Area): $46.25
- Colorado: $42.50
- Utah, Arizona, and North Carolina: $40.00
Actual compensation packages are determined by various factors unique to each candidate, including but not limited to skill set, depth of experience, certifications, specific work location, and performance during the interview process. In addition to base salary, this role may include variable compensation and be eligible for an equity grant, depending on the position and level.
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