Senior Director, Machine Learning
US Based Remote
Stash
Invest and build wealth with Stash, the investing app helping over 6M Americans invest and save for the future. Start investing in stocks, ETFs and more today.Want to help everyday Americans invest and build wealth? Financial inequality is increasing, and too many people are getting left behind. At Stash, we are passionate about democratizing wealth creation through education, advice, and products that help customers achieve greater financial freedom.
Stash is seeking Principal Machine Learning Engineers to join our engineering team.
This role focuses on shipping ML-driven features that enhance the steady building of wealth and spend management for millions of our customers.
As a senior technical leader, you will work across many functions in the company from Design, Modeling, Engineering, Growth, Support and Fraud Prevention to enable sophisticated AI solutions at scale. We are looking for a technical leader with motivation to build beautiful, intuitive products with empathy for our customers. This is a career-defining opportunity, where you can help bring to market new categories of products including crypto products.
You will:
- Play a technical leadership role, influencing, collaborating and contributing to ML-driven product features that seamlessly help improve the customer’s financial condition
- Help lead the company’s machine learning technical direction to pursue opportunities that make the larger organization more efficient
- Develop entity graphs, feature stores, model training and model serving capabilities in a fault-tolerant distributed computing environment
- Collaborate with Data Scientists in building highly scalable ML models for NLP, Fraud Prevention, Growth, Recommenders, Personalization and other use cases
- Understand industry and company-wide trends to help develop new technologies
Qualifications:
- 8+ years of experience in one or more of the following areas: statistical classifiers to deep learning, reinforcement learning, NLP, personalized AI agents or recommenders
- 12+ years of experience in programming languages (Python, C++, Java or Scala)
- Proven track record of planning multi-year technical roadmap where short-term releases ladder into the long-term vision
- Experience communicating and working across functions to drive solutions
- Experience in mentoring/influencing senior engineers across organizations
- Eagerness to share your own ideas, and openness to those of others
- Experience with cloud computing platforms, such as AWS, Google Cloud or Azure
At Stash it is our mission to help everyday Americans invest and build wealth. That includes people of all races, genders, and abilities, so it is important to us to acknowledge and address the issues of inequality in financial services head on.
Diversity and inclusion are essential to living our values, promoting innovation, and building the best products. Our success is directly related to our employees and we believe that our team should reflect the diversity of the customers that we serve. As an Equal Opportunity Employer, Stash is committed to building an inclusive environment for people of all backgrounds.
If you require any reasonable accommodations to make your application process more accessible please reach out to recruiting@Stash.com.
Invest in Yourself:
- Equity & Stash Accounts [Invest, Retire, Custodial, Bank]
- Flexible PTO
- Learning & Development Fund
- Work from Home Stipends
- Parental Leave [Primary & Secondary]
Recognition:
- BuiltIn’s Best Places to Work (2019, 2020, 2021)
- Forbes Fintech 50 (2019, 2020, 2021)
- Best Digital Bank, Finovate Awards (2020)
- Tearsheet Challenge Awards, Best Banking Card Product - Stock-Back® Card, 2020
- LendIt Fintech Innovator of the Year (2019 & 2020)
**No recruiters, please**
This position may be performed remotely anywhere within the United States except the State of Colorado.
Tags: AWS Azure Banking Crypto Deep Learning Engineering FinTech GCP Google Cloud Machine Learning ML models Model training NLP Python Scala
Perks/benefits: Career development Equity Flex hours Flex vacation Parental leave
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Lead Data Analyst jobs
- Open Data Science Manager jobs
- Open MLOps Engineer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Engineer II jobs
- Open Sr Data Engineer jobs
- Open Data Manager jobs
- Open Principal Data Engineer jobs
- Open Data Analytics Engineer jobs
- Open Power BI Developer jobs
- Open Product Data Analyst jobs
- Open Junior Data Scientist jobs
- Open Business Intelligence Developer jobs
- Open Data Scientist II jobs
- Open Senior Data Architect jobs
- Open Sr. Data Scientist jobs
- Open Manager, Data Engineering jobs
- Open Business Data Analyst jobs
- Open Big Data Engineer jobs
- Open Data Analyst Intern jobs
- Open Data Quality Analyst jobs
- Open Principal Data Scientist jobs
- Open Data Product Manager jobs
- Open Azure Data Engineer jobs
- Open Junior Data Engineer jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open GCP-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Java-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open APIs-related jobs
- Open Deep Learning-related jobs
- Open PyTorch-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open TensorFlow-related jobs
- Open PhD-related jobs
- Open CI/CD-related jobs
- Open NLP-related jobs
- Open Kubernetes-related jobs
- Open Data governance-related jobs
- Open Airflow-related jobs
- Open Hadoop-related jobs
- Open Databricks-related jobs
- Open LLMs-related jobs
- Open Data warehouse-related jobs