About Lovevery
Lovevery is a mission-driven company, passionate about helping every parent feel confident that they are giving their child the best experiences in early childhood. Our team believes in the power of combining physical play products with digital education and support to create an ecosystem for parents that is unmatched by any other brand.
About the role
We’re looking for a Lead Machine Learning Engineer to spearhead the creation of our MLE function and team at Lovevery. This person will build out systems to optimize content-rich customer experiences and reduce uncertainty around marketing and e-commerce decisions. As a Lead ML Engineer you will guide decisions on what data Lovevery collects across our digital platforms, and will build core systems to ingest, process, and store this data. You'll be responsible for leveraging this data to productionize end-to-end ML pipelines to deliver mission critical predictions, recommendations, and insights. You will benefit from working with a cutting edge data, technology, and content platform to establish data-driven ML services as a core pillar in our mission to provide optimal customer-facing experiences via all digital channels, including our Mobile App.
About you
- Mission Driven - You are passionate about delivering the best customer experience. You think parenthood and early childhood are inspiring areas to work on.
- Have an Intrinsic Humble Hustle - You are a go-getter who makes things happen. You are not afraid to jump in and get your hands dirty, even if the task is outside your wheelhouse.
- Love Learning - You enjoy staying on top of new machine learning, data science, and data engineering techniques. You are curious about the specifics of Lovevery’s subscription business and child development.
- Quality Focused - You know credibility is key to your success, and you take pride in the results you produce. You’re always looking for ways to improve yourself, the team, and the systems we build. When you make a mistake, you take responsibility and make it right.
- Strong Collaborator - You want the best solution which may or may not be your solution. You’ll be part of a team where strong communication and collaboration will be a key part of your success. You speak up when you see an issue, and appreciate it when others do the same.
Responsibilities
- Deliver as an individual contributor on day 1, while creating the strategic version and executing on a longer-term plan to build a world-class Machine Learning Engineering team
- Establish and implement best practices for the end-to-end productionization of machine learning systems, including the feature generation pipelines to feed the core ML models, as well as the APIs to deliver predictions in real time.
- Monitor feature generation pipelines and model predictions in a rapidly evolving digital ecosystem.
- Investigate data quality issues, and provide triage recommendations to development teams to help ensure stability and accuracy of machine learning model predictions.
- Lead the ML engineering function in breaking down high level requirements, organizing project backlog, and sprint planning.
- Work collaboratively with data scientists and data engineers in our Databricks environment, performing code reviews and other quality assurance activities.
- Collaborate with data engineers and data scientists to identify, capture, and leverage new internal and external data sources.
Qualifications
- Bachelor's Degree in Engineering, Computer Science, Mathematics, Data Science, or related field (advanced degree preferred).
- 6+ years experience working in software engineering, ML engineering, or similar field.
- 3+ years of experience building and maintaining machine learning systems.
- 3+ years experience writing production code in Python.
- Highly skilled in a standard query language (any variant of relational SQL).
- Experience with cloud based ELT/ETL (AWS, GCP).
- Well versed in Spark / EMR variants (ideally Databricks, DeltaLake, and PySpark).
- Experience building core technologies in a high-growth startup environment.
- Experience with mobile app data collection and content delivery.
- Experience in e-commerce, subscription, or content recommendation domains.
- Excellent written and oral communication skills.
The Benefits/Perks You’ll Enjoy
- Competitive salary, benefits and stock option package
- 3 weeks PTO in year 1 +14 paid holidays
- 4 months maternity leave and 2 months parental leave
- Any equipment you need to get the job done!
- Free/discounted Lovevery products
- Remote working option available anywhere in US
- Global summits in Boise to meet your colleagues IRL
Lovevery is proud to be an equal opportunity employer that values diversity in all forms. All employment decisions at Lovevery are based on business needs, job requirements, and individual qualifications, without regard to race, religion, national origin, sexual orientation, gender identity, HIV status, marital status, or any other status protected by the laws or regulations in the locations where we operate.
