JustAnswer is an online marketplace that is revolutionizing professional services by making fast, affordable expert help accessible to people everywhere. Hailed by The Huffington Post as “destined for glory,” our company is made of smart, hard-working people who know how to have fun and get things done. From doctors, lawyers, and vets to auto mechanics and tech support, the 10,000 experts on JustAnswer have helped over eight million people in 196 countries since 2003. Headquartered in the beautiful Presidio of San Francisco, our mission is simple and inspiring: “We help people.” JustAnswer, LLC is backed by investors Crosslink Capital, Glynn Capital, and Charles Schwab.
Now we are looking for a Machine Learning Engineer for its ML team that is primarily working on various supervised and reinforced ML problems. The team is developing models for text classification, clustering and regression tasks. Working knowledge of Bayesian statistics and reinforcement learning algorithms is a plus.
As a ML engineer you will have a unique opportunity to not only work on existing datasets that span for years of historical customer data, gather and analyze new features best suitable for your tasks and train state of the art ML models, but also help build new processes to collect the required data points and collaborate with other teams to integrate your ML models into Web, mobile or database applications.
We are looking for a software engineer with substantial experience in ML and good understanding of ML models. While our ML group, you will be joining, might not be very big, but it’s growing fast, and you will have a chance to work with over 200 engineers in other teams that use our ML models. We are passionate about ML and its applications and are looking for a colleague that believes in all the benefits AI can bring to us and our customers.
Responsibilities:
- Gathering and analyzing data sources; developing data insights and preparing data for use in ML algorithms
- Building scalable and efficient models on large datasets to solve various classification, clustering or regression tasks
- Using state of the art ML techniques and applying transfer learning
- Integrating ML models into existing or new applications using the CI/CD approach
- Maintenance of ML models in production environment (monitoring, performance optimizations, tracking etc.)
Requirements:
- 3+ years experience developing ML models
- 2+ years of full-stack development preferably in a startup engineering environment using various programming languages
- Deep understanding of ML algorithms and concepts. Ability to efficiently use deep learning. Record of solving problems with these methods
- Proficiency in solving of NLP problems
- Strong proficiency in querying and manipulating large datasets for analytical purposes using SQL
- Strong analytical and problem solving skills
- Good communication and relationship skills
- Strong proficiency in Python for ML
- Proficiency with data visualization tools
- Bachelor's Degree - preferably a Master's or PhD in Computer Science, Engineering, Statistics, or Information Systems
Collaboration
- Ability to work both independently and collaboratively
- Promotes co-creation and encourages others to participate; works smoothly across all levels and departments
- Manages time and meetings effectively, properly leveraging managers' time
Communication
- Excellent interpersonal and service-oriented skills
- Proactively shares appropriate level of information across teams
- Actively listens to others and ensures they are understood
Leadership
- Strong organization skills
- Self-starter who is action-oriented and leads by example
- High-level of accountability and acts an owner, develops effective short and long-term plans and goals
- Provides timely, effective and meaningful feedback that motivates others to improve performance
We offer:
- 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
