Sr. Machine Learning Engineer (ML Ops focus)

The FinQuery Data Science and Machine Learning team builds the machine learning services that power features across FinQuery’s suite of accounting products. You will help shape a range of production machine learning services that provide value to real users. The Machine Learning Engineer will be charged with developing, maintaining, and improving machine learning-related infrastructure and tools for the full life cycle of production ML at FinQuery. You will work closely with model developers, software developers, systems engineers, product managers, and the UX team, among others, to help create ML-driven product features. This is an MLOps focused, senior individual contributor role.
We value experience, but even more important to us is the willingness and ability to continuously learn, as ML is constantly evolving. We are looking for great teammates, who are nice people and happen to be extremely good at what they do.

What you will be doing:

• Enabling the training, deployment, monitoring, and maintenance of ML models
• Improving the overall performance and reliability of our ML infrastructure
• Working very closely with our model developers
• Working with Product and other Engineering teams to integrate our ML features and services with our broader products
• Troubleshooting production issues related to our ML services
• Helping other team members improve their MLE-related knowledge and skills
• Providing tactical and strategic input on technical matters related to production machine learning
• Learning new MLE techniques and best practices, and subject matter related to FinQuery's business

What experience and skills we need you to have:

• Strong foundation in ML concepts
• Strong experience working with ML models in production
• Strong experience writing and maintaining code (Python) that is used by others
• Ability and desire to learn new techniques, topics, and technologies

Nice to haves:

• Experience with the end-to-end ML process (ideation, creation, deployment, and maintenance of models) at scale
• Experience with NLP models, tools, and best practices, including emerging LLM paradigms
• Experience mentoring teammates
• Experience with building and scaling ML platforms
• Experience with data engineering and data management
• Experience with CI/CD best practices
• Experience with the AWS ML stack
• Experience with Kubernetes and all things containers

Benefits:

• Flexible PTO (including 11 holidays and your birthday off) 
• 401(k) plan with employer matching 
• Great health benefits with multiple plan option 
• Option to choose between in office, fully remote, or a hybrid work environment for all employees
• Casual dress environment (when in office)
• Catered lunches every Tuesday and Thursday
• Company events each quarter
• Signing stipend for a work-from-home setup
• Free gym membership at our office
• Annual employee development program stipend of $2,000 for each employee 
• Flexible parental leave with 10 weeks paid leave for ALL new parents
• Fertility/adoption assistance 
• Annual tutoring stipend for your children
• Mentorship program available immediately 
• Regular team outings
• Advancement opportunities based on results, not politics
• Culture that emphasizes inclusiveness driven by our REDI Committee

About UsFinQuery is an innovative contract & spend intelligence company whose solutions are used by over 7,000 organizations worldwide. What sets us apart is that we’re the only provider offering complete visibility into an organization’s largest areas of spend – leases, software subscriptions, and other financial contracts – all in one platform.
Our platform provides our customers with unprecedented insight that drives informed decisions on their largest areas of spend and allows organizations to solve problems that matter for their business.
FinQuery is an equal opportunity employer to all persons, free from restrictions and prejudice based upon race, color, creed, religion, sex, domestic relationship status, parental status, family status, sexual orientation, national origin, gender identity, age, and disability status. FinQuery maintains a drug-free workplace.