Sr. Machine Learning Engineer- RouteBot Team (LA)
About Route
Route is a one-click premium shopping experience for online ordering, and the only way to view all of your online orders, from any merchant, in one place. Online shoppers can insure and visually track everything they order online in one centralized app. E-commerce merchants from boutique brands to household names can add Route to their website empowering one-click solutions for their customers for shipping insurance, visual package tracking, and one-click claim handling. With offices in both Silicon Slopes, Utah (HQ) and Santa Monica, California, Route embodies a creative lifestyle partnered with innovative tech to build a one of a kind global brand.
About the Role
The Route Bot team is responsible for executing on our vision of all your order information in one place. The team has the challenge of extracting structured order and tracking information from unstructured sources such as email. We are looking for an engineer with passion and experience working with data, machine learning and natural language processing to help us solve these problems.
This position will be responsible for building and maintaining ML models and the surrounding pipeline and infrastructure to help the team gauge the accuracy of our data extraction efforts. It will also have the opportunity to innovate with the team in how ML and natural language processing can be better used to further the team’s mission.
Route is an engineering company. We need our engineers to bring fresh ideas, be excited to take on new problems across the stack, and embrace the startup culture where we must be comfortable being uncomfortable at times. We aspire to hire the best people with a broad set of technical skills, representing a globally diverse audience, and bringing a diversity of ideas, perspectives, and cultures.
Responsibilities
- Help in the design, implementation, and improvement of our most demanding ML and AI solutions
- Influence project priorities, deadlines, and deliverables
- Serve as a key resource to team members on ML best practices, design, and coding standards
- Embody a culture of innovation, transparency, and radical candor
Minimum qualifications
- BS/BA degree in Computer Science, Math, Statistics, or similar technical field, or equivalent practical experience
- Solid understanding of Computer Science fundamentals
- 3+ years of relevant work experience in Machine Learning or Artificial Intelligence
- Deep technical expertise with one or more of the following: natural language processing, text understanding and text classification, pattern recognition
- Experience developing, optimizing/tuning, deploying, and scaling ML models
- Experience with one or more general purpose languages, e.g. Go, Java, Python
- Interest and ability to learn other languages as needed
- Proficient SQL skills and experience with data wrangling
Preferred qualifications
- Master’s degree or PhD in Computer Science, Math, Statistics, or similar technical field
- Experience applying machine learning methods to products, features and/or services, including minimizing footprint, evaluating tradeoffs, and pipeline work
- Experience with distributed computing such as Hadoop/Spark
- Experience/familiarity with Docker or Kubertnetes
- Experience with AWS platform
- Expertise in Python and/or C/C++/Objective-C development
- Strong background in at least one area of machine learning, such as deep learning or NLP.
- Familiarity with Tensorflow, scikit-learn, or PyTorch
- Proven problem solving and debugging skills
- Skill in efficiently implementing algorithms published in technical papers and/or developing new algorithms
- Enthusiasm for continuing to learn state-of-the-art techniques in machine learning
- Excellent interpersonal and collaboration skills
Benefits:
Route offers an array of benefits including generous salaries, stock options, 100% healthcare coverage, and an unlimited PTO policy.
Route is an Equal Opportunity Employer. We embrace diversity and equal opportunity in a serious way. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be!