Close is hiring a Senior Machine Learning Engineer to design and implement the machine learning architecture for our CRM product. In this new, self-driven role, you will focus on building data-driven product features using statistical analysis, machine learning, and LLMs.
What You'll Do
- Collaborate closely with product, engineering and other teams to uncover new data-driven product capabilities
- Develop statistical and machine learning models to solve business problems
- Design and implement end-to-end data pipelines that normalize, manage quality issues and transform raw data into useful data sets for analysis, training and validation
- Work closely with our Backend and Infrastructure engineers to productionize ML models and pipelines
- Perform feature engineering with existing and external data sources to develop optimal features for training our models
- Instrument our data processing infrastructure to ensure its health by monitoring its performance, availability and other operational parameters
- Define and advance data science best practices within our engineering and product teams
- Ensure data integrity, quality, and security
- Add your data expertise to help improve our AI efforts (e.g. fine tuning, improved RAG data sources, etc.)
What We're Looking For
- 5+ years of experience as a ML Engineer or Data Scientist solving meaningful business problems
- Extensive experience with Python and working knowledge of software development methodologies
- Extensive experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn)
- Experience deploying machine learning models to production environments
- Experience working with production relational databases as well as data warehouses on platforms such as Redshift
- Comprehensive knowledge of advanced SQL techniques
- Experience with data modeling including dimensional modeling for data warehouses
- Working knowledge of latest AI models and their applicability to solve business problems
- Proven track record of leading successful data projects that have made a positive business impact
- Ability to explain complex data scientist concepts to engineers, product managers and other non-data scientist team members
Nice to Have
- Ideally some or all of your experience is at a Senior or Staff level
- Bonus for experience with NoSQL databases like Mongo
Technical Stack
- Python, Flask, TaskTiger
- MongoDB, PostgreSQL, Redshift, Elasticsearch
- AWS
- TensorFlow, PyTorch, Scikit-learn
Team & Environment
You will be joining our Data Insights team, one of our six cross-functional product teams, within a company of ~100 people.
Benefits & Compensation
- Competitive compensation including an organization-wide goal-based bonus
- Paid Time Off: 5 Weeks PTO upon joining + Winter Holiday Break. Each year with the company, you’ll receive 2 additional PTO days
- 80% Work Option: Work with your manager to choose between working 5 day weeks (standard full-time) or 4 day weeks @ 80% pay
- Paid Parental Leave for primary and secondary caregivers
- Sabbatical: After 5 years with the team, you’re eligible for a 1 month paid sabbatical
- Healthcare (US residents): Medical, Dental, Vision with HSA option, Dependent care FSA
- 401k (US residents): We match 6% contributions with immediate vesting
Work Mode
This is a 100% remote position open only to candidates located in the USA.
Close is an equal opportunity employer.
