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