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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 Data Scientist
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AT A GLANCE
RVO Health is building an industry-leading healthcare platform that integrates the consumer health journey — helping people access the right information, care, and services at the right time. Formed through a partnership between Red Ventures and UnitedHealth Group, we combine world-class consumer analytics with one of the largest healthcare networks in the world. We're a growing team made up of a mix of data scientists, machine learning engineers, analytics engineers, data engineers, and product managers. We welcome candidates from different backgrounds and believe that diverse, inclusive teams are better teams.
We're looking for a Senior Data Scientist to join a fast-moving team building ML and AI solutions for consumer health behavior change products. You'll work on problems where your models directly influence real health outcomes for millions of users. We move fast, iterate often, and expect our scientists to thrive in ambiguity.
Where You'll Be
To prioritize togetherness, culture, and accountability, RVO Health operates on an in-office work schedule. We expect employees who are in close proximity to our office hubs to work from our Fort Mill SC, Minneapolis MN, or Denver CO, office Tuesday, Wednesday and Thursday each week. You are welcome to work remotely Mondays and Fridays if you wish.
Address: 1101 Red Ventures Dr Fort Mill, SC 29707
This role is also open remotely for those not in an office location.
What You’ll Do
- Design and build evaluation pipelines to measure AI and LLM output quality, including automated annotation frameworks and human-in-the-loop review workflows
- Apply NLP techniques to clinical and claims data to extract structured insights that inform product and health outcomes
- Build and improve search and retrieval systems that connect users to relevant, accurate health information using semantic search and RAG architectures
- Develop and ship generative AI applications — moving rapidly from proof of concept to production
- Partner closely with Product Managers and Engineers to translate ambiguous health problems into concrete, measurable data science solutions
- Stay current on state-of-the-art techniques and quickly evaluate what is worth building versus what is noise
- Lead cross-functional execution with stakeholders across product, engineering, and clinical teams
- Contribute to a team culture that is inclusive, intellectually honest, and moves with urgency
What We’re Looking For
You are comfortable owning problems end-to-end, shipping fast, and adjusting course when the data or product direction changes. You don't need perfect requirements to get started.
Core technical areas:
- Generative AI & LLMs — experience building applications with LLMs, prompt engineering, RAG pipelines, LangChain, or similar tooling
- Evaluation & Measurement — designing and building pipelines to assess AI/LLM output quality, including automated annotation, human-in-the-loop review, and defining metrics that reflect real health outcomes
- Clinical NLP & Claims Data — extracting structured insights from unstructured clinical text and/or working with medical claims data to understand patient journeys, diagnoses, and treatment patterns
- Search & Retrieval — building systems that help users find relevant health information, including semantic search, dense retrieval, and RAG architectures
- Behavioral modeling — understanding user engagement, retention, and habit formation patterns in the context of health behavior change
Preferred qualifications:
- PhD in a quantitative field (e.g., CS, Stats, or Physics) or a Master’s degree with 3+ years of industry experience, specifically focused on shipping production-grade ML/AI solutions in complex domains like healthcare
- Strong Python skills; experience deploying models in production environments
- Familiarity with deep learning frameworks (PyTorch, TensorFlow) and NLP techniques (Transformers, LSTMs)
- Experience with vector databases, embeddings, or retrieval-augmented generation
- Hands-on experience with healthcare data (claims, EHR, or clinical text) is a strong plus
- Demonstrated ability to move from research to production — not just notebooks
- Comfortable working with cross-functional teams and communicating technical tradeoffs to non-technical stakeholders
Pursuant to various state Fair Pay Acts, below is a summary of compensation elements for this role at the company. The following benefits are provided by RVO Health, subject to eligibility requirements.
- Starting Salary: $105,000, - $150,000
*Note actual salary is based on geographic location, qualifications and experience - Health Insurance Coverage (medical, dental, and vision)
- Life Insurance
- Short and Long-Term Disability Insurance
- Flexible Spending Accounts
- Paid Time Off
- Holiday Pay
- 401(k) with match
- Employee Assistance Program
- Paid Parental Bonding Benefit Program
- Pharmacy Benefits
- Income Protection Plans
- Pet Services Plans
- Mental Health Support
- Wellness Coaching
- HSA- Health Savings Account
- Commuter Benefits
- Gym & Fitness Center Discount Program
Who We Are:
Founded in 2022, RVO Health is a new healthcare platform of digital media brands, services and technologies focused on building relationships with people throughout their health & wellness journey. We meet people where they are in their personal health journeys and connect them with both the information and the care they need. RVO Health was created by joining teams from both Red Ventures and UnitedHealth Group’s Optum Health. Together we’re focused on delivering on our vision of a stronger and healthier world.
RVO Health is comprised of Healthline Media (Healthline, Medical News Today, Psych Central, Greatist and Bezzy), Healthgrades, FindCare and PlateJoy; Optum Perks, and the virtual coaching platforms Real Appeal, Wellness Coaching, and QuitForLife.
We offer competitive salaries and a comprehensive benefits program for full-time employees, including medical, dental and vision coverage, paid time off, life insurance, disability coverage, employee assistance program, 401(k) plan and a paid parental leave program.
RVO Health is an equal opportunity employer that does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or any other basis protected by law. Employment at RVO Health is based solely on a person's merit and qualifications.
We are committed to providing equal employment opportunities to qualified individuals with disabilities. This includes providing reasonable accommodation where appropriate. Should you require a reasonable accommodation to apply or participate in the job application or interview process, please contact accommodations@rvohealth.com.
We do not provide visa sponsorship for this role at this time.
#LI-Hybrid
RVO Health Privacy Policy: https://rvohealth.com/legal/privacy
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Apply to RVO HealthJoining Collibra’s Artificial Intelligence team
We are looking for an experienced AI Engineer who will design and deliver Artificial Intelligence solutions that improve our customers' experience and enable informed, data-driven decision making. We seek someone excited about working with cutting-edge technologies to build pragmatic, performant AI solutions. You'll collaborate with a team of outstanding builders around the world, characterized by a love for innovative technology, a desire to solve problems, and a continuous pursuit of building simple, elegant products that delight customers and simplify all levels of data engagement. You will work primarily with Data Scientists, other AI Engineers, and Machine Learning Operations Engineers, as well as teams across Collibra.
This is a hybrid role based in our Raleigh office. Our hybrid model means you’ll work from the office at least two days each week. This setup helps us stay connected, work more closely together, and keep making progress as a team.
AI Engineers at Collibra are responsible for
- Monitoring of the larger AI/ML landscape, including emerging techniques and current state-of-the-art approaches
- Transforming prototypes into pragmatic, production-ready solutions which solve impactful business problems
- Creating, operationalizing, and supporting AI/ML models and visualizations to power actionable value and insights
- Evaluating algorithmic results for quality, adaptability, and efficiency
- Contributing to evolving our platforms for Artificial Intelligence and Machine Learning capabilities in support of Collibra’s data products
- Collaborating with cross-functional teams and mentoring junior engineers on AI best practices
You have
- 5+ years of experience delivering production-grade AI/ML projects related to business functions, incorporating advanced techniques (e.g., LLM-based applications, RAG systems, NLP, neural networks, recommendation engines)
- Experience with SQL and relational databases, query authoring as well as working familiarity with a variety of databases (e.g., time series, graph, vector)
- Built and deployed production code in Python with associated AI modules (LangChain, LangGraph, Pandas, Numpy, Tensorflow, etc.)
- Experience with model evaluation, testing frameworks, and validation methodologies
- This position is not eligible for visa sponsorship
- A bachelor’s degree or equivalent related working experience is required
You are
- Deeply technical, driven, and analytical about the insights data can deliver
- Able to cut through hype and noise to identify foundational problems and build maintainable, performant solution
- Passionate about the mathematical principles powering the Generative AI revolution and how to drive sustainable value from LLMs and other GenAI technologies
- Experienced supporting diverse stakeholders and working with cross-functional teams in dynamic environments
- A clear communicator who can explain complex technical concepts to both technical and non-technical audiences
- Product-minded with empathy for end users—you consider how people will actually interact with AI features, not just technical sophistication
- Eager to both learn from others and share knowledge ; AI is evolving rapidly and no one has all the answers
Reporting to Collibra’s Senior Manager of AI Engineering, measures of success are
- Within your first month, you will familiarize yourself with the existing data platform and data products by diving into the architecture, existing products, and the Collibra platform ecosystem
- Within your third month, you will start to deliver new AI/ML features into our SaaS platform
- Within your sixth month, you will operationalize AI products into production environments and contribute to our AI roadmap
Compensation for this role
The standard base salary range for this position is 152,000 - 190,000 per year. This position is not eligible for additional commission-based compensation. Salary offers are based on a combination of factors, including, but not limited to, experience, skills, and location.
In addition to base salary, we offer a competitive total rewards package, including bonus potential, equity for eligible roles, a Flex Fund monthly stipend, pension/401k plans, and more.
Benefits at Collibra
Collibra recognizes and values that everyone has different needs, interests, and life goals. We built our benefits program with flexibility in mind to support you and your loved ones through a diverse range of circumstances and life events. These flexible offerings sit on a foundation of competitive compensation, health coverage, and time off. Learn more about Collibra’s benefits.
We create inclusion and belonging through how we onboard, meet, connect, engage, and communicate. Learn more about diversity, equity, and inclusion at Collibra.
At Collibra, we’re proud to be an equal opportunity employer. We realize the key to creating a company with a world-class culture and employee experience comes from who we hire and creating a workplace that celebrates everyone.
With this, we proudly consider qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sexual orientation, pregnancy, sex, gender identity, gender expression, genetic information, physical or mental disability, HIV status, registered domestic partner status, caregiver status, marital status, veteran or military status, citizenship status or any other legally protected category. If you have a need that requires accommodation, let us know by completing our Accommodations for Applicants form.
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AI/ML Software Engineer
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About your role
Rocket Lawyer is seeking an experienced, passionate AI/ML software engineer for Rocket Copilot, our new AI assistant launched in December 2023. In this role, you will help our team deeply embed AI features across our platform. You will work in an agile, cross-functional team, working with multiple product teams as we build out AI features across Rocket Lawyer. You will design, implement, test, release and maintain new AI features, working closely with product managers, UX designers, data engineers, QA engineers, and others.
We value a fun, collaborative, team-oriented work environment, where we celebrate our accomplishments.
How you will make a difference day to day
- Build, train, fine-tune, deploy and maintain ML models for AI features
- Create, monitor and troubleshoot backend API services to allow Rocket Lawyer product frontends to interact with ML models
- Work closely with multiple product teams and cross-functional teammates to quickly integrate AI into existing and new Rocket Lawyer products
- Keep up-to-date with industry trends around generative AI and machine learning
- Rapidly prototype product features to explore new AI capabilities, while writing clean, understandable code
What you’ll need
- 5+ years of Experience writing ML code for launched products
- Understanding of the state of the art in generative AI, including RAG, LoRA, RLHF and others
- Experience creating data sets from proprietary anonymized data, and using them to train and fine-tune ML models
- Experience with machine learning frameworks like TensorFlow, PyTorch and Scikit-Learn
- Strong programming skills in Python and SQL
- BS, MS, or PhD in Computer Science, Mathematics, Statistics, or other quantitative fields, or related work experience
Benefits & Perks
- Comprehensive health plans (including Medical, Dental and Vision insurance for full-time employees)
- Unlimited PTO
- Competitive salary packages
- Life insurance
- Disability benefits
- Supplemental Optional Life Insurance Benefits
- FSA Options Optional
- HSA with Company Match
- 401k program with Company Match
- Fertility Assistance and Planning options
- Wellhub & ClassPass fitness platforms
- Comprehensive Pet Insurance options
- Financial Wellbeing & Student Loan Program access
- Access to additional Mental Health & Wellbeing resources
- Pre-tax Commuter/Transit Benefits
- Free Rocket Lawyer account with online access to an extensive legal documents library and brilliant licensed attorneys at discounted rates
Interview Process:
- Recruiter Phone Screen
- Role Assessment(s)
- Hiring Manager Interview
- Panel Interviews
- Final Interview
Base salary range by location:
- SF Bay Area: $165,000 - $190,000
- California: $155,000 - $180,000
- Colorado: $140,000 - $165,000
- Arizona/Utah/North Carolina: $132,000 - $155,000
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.
By applying for this position, your data will be processed as per Rocket Lawyer Privacy Policy.
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