Machine Learning Engineer
Job title: Machine Learning Engineer
Company: Mercari
Job description: Mercari is Your Marketplace. We make it super easy to sell (or buy) almost anything. We all have things we don’t use, never used or simply outgrew. But that stuff still has value. Mercari gives you the power to simply sell it, ship it, and earn some cash for it. Fashion to toys. Sporting goods to electronics. All the brands you know and love. Our mission is simple: to make selling easier than buying. And with 50M+ downloads in the U.S. and 350k+ new listings every day, we’re just getting started.
The Machine Learning team at Mercari develop end-to-end machine learning systems from the model exploration phase, continuous training, and monitoring phases all the way to microservice development and deployment at large scale. In this role, you will be working on some of the core areas that drive unique and delightful experiences for our users and enable them to find what they need, when they need it. To learn more about what we are doing, please check out our recent blog about a few of ML projects ML Platform at Mercari: .
In this senior role, you will mentor junior engineers, work with other teams and drive projects end to end.
What You’ll Be Doing:
- Design and build, deploy and measure the impact of machine learning systems with a massive amount of data (Textual and Visual data of our listing inventory).
- Use machine learning, deep learning, natural language processing and computer vision to make models across recommendation, search, query understanding and so on.
What You’ll Need:
- Industry experience building and producing innovative end-to-end Machine Learning systems
- Experience working on production machine learning systems at scale, data mining, ranking, recommendations, and/or natural language processing
- Solid engineering and coding skills. Ability to write high-performance production quality code
- Deep understanding of machine learning algorithms, deep neural networks, clustering, classifications, and seq2seq models
- Experience in at least two of the following NLP systems: sentiment analysis, parsers, personal assistance systems (i.e, chatbots), ranking, and recommendation
Must have:
- MS and 6 yrs of industry experience or PhD and 4 yrs industry experience in Computer Science or a related technical field and in end-to-end machine learning projects, which are from data collection, building models, and model deployment
- Experience with TensorFlow or related deep learning libraries
- Deep understanding of probabilistic models, statistical modeling and stochastic systems
- Strong programming skills in Python
- Strong communication and interpersonal skills
Bonus Points:
- Experience with developing microservices with Docker and Kubernetes to serve machine learning models
- Experience with Google Cloud Platform / Amazon Web Services
- Experience with Flask, Apache Spark, Apache Beam a plus
Technologies We Use:
- Machine Learning/Deep learning: Tensorflow/PyTorch/Keras/Scikit-Learn, etc.
- Cloud: Google Cloud (BigQuery/ML Engine/Google Dataflow/Google Dataproc, etc.)
- Database: Google Datastore/MySQL/Google Spanner
- API: gRPC/Tensorflow Serving/Flask (REST)
- Container: Docker/Kubernetes
Perks:
- Competitive medical, dental, and vision insurance options
- 401k match
- Life & disability insurance
- Employee Assistance Program
- New parent paid leave
- Rocket Lawyer legal services
- Fond perks and rewards
- Time when you need it – unlimited vacation days
Expected salary:
Location: Palo Alto, CA
Job date: Thu, 06 May 2021 05:55:57 GMT
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