Our partner is looking for a Senior Machine Learning Engineer in San Francisco, CA. This role has the potential to be remote, however, you will be expected to work Pacific Standard Time hours.
The Machine Learning Engineer will report to the Director of AI/ML Engineering.
Responsibilities:
- Implement end-to-end solutions for batch and real-time algorithms along with requisite tooling around monitoring, logging, automated testing, performance testing and A/B testing
- Identify new opportunities to improve business processes and improve consumer experiences, and prototype solutions to demonstrate value with a crawl, walk, run mindset.
- Work with data scientists and analysts to create and deploy new product features on the ecommerce website, in-store portals and the mobile app
- Establish scalable, efficient, automated processes for data analyses, model development, validation and implementation
- Write efficient software to ship products in an iterative, continual-release environment
- Contribute to and promote good software engineering practices across the team
- Contribute to and re-use community best practices
- Embody the values and passions that characterize the company, with empathy to engage with colleagues from multiple backgrounds
Example Projects:
- Personalized in-session product recommendation engine
- Customer Segmentation
- Automated text summarization and clustering
- Next-Best offer prediction
- Design Microassortments for Next-Gen stores
- Anomaly detection and Root Cause Analysis
- Unified consumer profile with probabilistic record linkage
- Visual search for similar and complementary products
Requirements
- University or advanced degree in engineering, computer science, mathematics, or a related field
- 5+ years experience developing and deploying machine learning systems into production
- Experience working with a variety of relational SQL and NoSQL databases
- Experience working with big data tools: Hadoop, Spark, Kafka, etc.
- Experience with at least one cloud provider solution (AWS, GCP, Azure)
- Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
- Experience working in a Linux environment
- Knowledge of data pipeline and workflow management tools
- Expertise in standard software engineering methodology, e.g. unit testing, test automation, continuous integration, code reviews, design documentation
- Relevant working experience with Docker and Kubernetes is a big plus
Currently, our partner requires proof of being fully vaccinated for COVID-19 as a condition of commencing employment, except in those jurisdictions where prohibited by law. Medical or religious accommodations, or other exemptions that may be required by applicable law, will be approved when properly supported. Further information is provided during the recruitment process.
Benefits
- 401K match: $1.25 for every $1.00 you contribute up to the first 6% of pay you save.
- Five hours of paid volunteer time per month with nonprofit organizations
- 60% product discount on regular-price merchandise
