Machine Learning Engineer
#TeamNextdoor
Nextdoor is where you connect to the neighborhoods that matter to you so you can belong. Our purpose is to cultivate a kinder world where everyone has a neighborhood they can rely on. Neighbors around the world turn to Nextdoor daily to receive trusted information, give and get help, get things done, and build real-world connections with those nearby — neighbors, businesses, and public services. Today, neighbors rely on Nextdoor in more than 305,000 neighborhoods across 11 countries.
Meet your Future Neighbors
As a Machine Learning Engineer with Nextdoor, Inc. (San Francisco, CA) (telecommuting permitted - a telecommuting/hybrid work schedule may be permitted in accordance with Nextdoor policies and protocol) you’ll:
- Build Machine Learning (“ML”) infrastructure to enable team to build, maintain, and iterate on ML products
- Develop and optimize ML serving infrastructure
- Develop and iterate on a ML training platform that can train new models and optimize hyper parameters in a scalable and efficient manner
- Set up and manage data pipelines that facilitate the movement and processing of large datasets
- Develop underlying data processing infrastructure to support ML platform in collecting data, labeling data and using data to monitor model performance
- Build infrastructure to train, serve and monitor ML models
- Build ranking ML models, and perform data analysis and feature engineering in support of model building
What You’ll Bring to The House
- Master’s degree, or foreign equivalent, in Computer Science, Applied Math, Statistics, or a closely related field
- Two (2) years of experience as a Machine Learning Engineer, or closely related position
- Must have demonstrated experience in the following: Building, training, and maintaining ML models that utilize time series data, customer or tabular data, or image/video data; Developing ML techniques and improving statistical and ML model performance using Python, and database languages; Analyzing datasets and using features to build ML models; Utilizing Natural Language Processing to build word representation for document clustering and text classification; Applying deep learning algorithms for entity recommendation; Utilizing data processing languages/tools; and Utilizing machine learning model frameworks such as numpy, pandas, and/or PyTorch
Rewards
Compensation, benefits, perks, and recognition programs at Nextdoor come together to create one overall rewards package.
The starting salary for this role is expected to range: $160,000 - $180,000/year
We also expect to award a meaningful equity grant for this role. With equal quarterly vesting, your first vest date would be within the first 3 months of your start date.
Overall, total compensation will vary depending on your relevant skills, experience, and qualifications.
We have you covered! Nextdoor employees can choose between a variety of great health plans. We cover 100% of your personal monthly premium for health, dental, and vision – and provide a OneMedical membership for concierge care.
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