About Us
We are a San Francisco based company founded in 2003. Our mission is simple: we help people. We have democratized professional services by connecting customers with verified and vetted Experts who provide reliable answers at any hour and on any budget. JustAnswer members enjoy round-the-clock access to 12,000+ doctors, lawyers, tech support, mechanics, vets, home repair pros, and more. In the last 15 years, we have helped 10 million customers in 196 countries by answering more than 16 million questions. Our investors are Charles Schwab, Crosslink Capital, and Glynn Capital Management.
About the Role
We are looking for a Software Engineer to join the quickly growing Machine Learning team
that is primarily working on various supervised and reinforcement ML problems. You will
be responsible for designing and developing the infrastructure, APIs, and consumer-facing
tooling to automate the training of ML models and their integration using the
CI/CD approach.
The ideal candidate will have software engineering expertise and experience in introducing
concepts that permit fast, confident, iterative releases of software in a high-scale
environment. You will work on solid architecture designs focused on quality, scalability and
performance. While ML experience is not strictly required, knowing the basics of ML model
development would be a plus.
What You’ll Do
- Create infrastructure to automate the analysis and labeling of data for ML; to train and
evaluate the state-of-the-art models; deploy scalable Web services to host them - Integrate ML services into existing or new applications using the CI/CD approach
- Maintenance of ML models in the production environment (monitoring, retraining,
performance optimizations, etc.) - Follow and improve efficient Agile CI/CD processes
- Conduct code reviews and provide feedback on design decisions
What We’re Looking For
- 5+ years of full-stack development preferably in a startup engineering environment
using various programming languages - 2+ years of K8S design and administration. This includes: Kubernetes control plane,
CNI, Security and Compliance; Kubernetes workload management — Load balancers,
auto scaling, deployments; Kubernetes cluster management — Helm, Rancher, K8S
Infrastructure on Azure; Kubernetes Observability — Container IQ, Dynatrace,
Prometheus, Custom metrics and dashboards - 2+ years of large-scale software and/or webservices deployment
- Experience working with cross functional teams (product, analytics, business leaders)
- Experience with high load websites or services, large datasets, and both functional
and code complexity - Able to deliver high performing, scalable applications
- Strong proficiency in Python
- Proficiency in C# or JAVA and data access technologies such as Entity Framework
or ADO.NET - Experience with JS/CSS/HTML and SQL
- Experience with design and architectural patterns and SOA design
- Bachelor’s Degree — preferably a Master’s or PhD in Computer Science, Engineering,
Statistics, or Information Systems
Perks and Benefits
- Time off throughout the year (paid and unpaid)
- Professional development support and encouragement
- Resources to help improve your overall well-being
- Free membership to dive into JA product