Jobright.ai
Machine Learning Engineer - Product, Entry Level
Jobright.ai, San Francisco, California, United States, 94199
Machine Learning Engineer - Product, Entry Level
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Machine Learning Engineer - Product, Entry Level
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Jobright.ai Machine Learning Engineer - Product, Entry Level
Join to apply for the
Machine Learning Engineer - Product, Entry Level
role at
Jobright.ai Get AI-powered advice on this job and more exclusive features. Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust. Job Summary: Nextdoor is the essential neighborhood network that connects neighbors, public agencies, and businesses around local information. They are seeking a Machine Learning Engineer to build data-intensive products, develop machine learning models, and collaborate closely with product and data science teams to enhance the platform's functionality. Responsibilities: • You will be part of a scrappy and impactful team building data-intensive products, working with data and features, building machine learning models, and sharing insights around data and experiments. • Collect and gather datasets to build machine learning (ML) models that make real-time decisions for the Nextdoor platform. • Analyze datasets and and use important features to build low-latency models for decisions that need to be made quickly. • Deploy ML models into production environments and integrate them into the product. • Run and analyze live user-facing experiments to iterate on model quality by measuring the impact on business metrics. • Collaborate with other engineers and data scientists to create optimal experiences on the platform. • Participate in in-person Nextdoor events such as trainings, off-sites, volunteer days, and team-building exercises. • Build in-person relationships with team members and contribute to Nextdoor’s company culture. Qualifications: Required: • B.S. in Computer Science, Applied Math, Statistics, Computational Biology or a related field • 1+ years of industry experience in applying machine learning at scale • Experience with recommendation systems, deep learning models, feed/notification relevance, knowledge graphs, Ads, or NLP at scale is required • Experience building ML models for consumer-facing products • Proven engineering skills, with experience in writing and maintaining high-quality production code • Ability to work with and analyze large amounts of data • Ability to succeed in a dynamic startup environment • Eagerness to explore and apply AI and emerging technologies to reimagine how work gets done Company: Nextdoor is a private social networking platform that connects neighbors for them to exchange helpful information, goods, and services. Founded in 2011, headquartered in San Francisco, California, USA, team size 501-1000 employees, currently Public Company. Nextdoor has a track record of offering H1B sponsorships. Seniority level
Seniority level Entry level Employment type
Employment type Full-time Job function
Industries Software Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job
Medical insurance Vision insurance 401(k) Get notified when a new job is posted. Sign in to set job alerts for “Machine Learning Engineer” roles.
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Join to apply for the
Machine Learning Engineer - Product, Entry Level
role at
Jobright.ai Machine Learning Engineer - Product, Entry Level
Join to apply for the
Machine Learning Engineer - Product, Entry Level
role at
Jobright.ai Get AI-powered advice on this job and more exclusive features. Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust. Job Summary: Nextdoor is the essential neighborhood network that connects neighbors, public agencies, and businesses around local information. They are seeking a Machine Learning Engineer to build data-intensive products, develop machine learning models, and collaborate closely with product and data science teams to enhance the platform's functionality. Responsibilities: • You will be part of a scrappy and impactful team building data-intensive products, working with data and features, building machine learning models, and sharing insights around data and experiments. • Collect and gather datasets to build machine learning (ML) models that make real-time decisions for the Nextdoor platform. • Analyze datasets and and use important features to build low-latency models for decisions that need to be made quickly. • Deploy ML models into production environments and integrate them into the product. • Run and analyze live user-facing experiments to iterate on model quality by measuring the impact on business metrics. • Collaborate with other engineers and data scientists to create optimal experiences on the platform. • Participate in in-person Nextdoor events such as trainings, off-sites, volunteer days, and team-building exercises. • Build in-person relationships with team members and contribute to Nextdoor’s company culture. Qualifications: Required: • B.S. in Computer Science, Applied Math, Statistics, Computational Biology or a related field • 1+ years of industry experience in applying machine learning at scale • Experience with recommendation systems, deep learning models, feed/notification relevance, knowledge graphs, Ads, or NLP at scale is required • Experience building ML models for consumer-facing products • Proven engineering skills, with experience in writing and maintaining high-quality production code • Ability to work with and analyze large amounts of data • Ability to succeed in a dynamic startup environment • Eagerness to explore and apply AI and emerging technologies to reimagine how work gets done Company: Nextdoor is a private social networking platform that connects neighbors for them to exchange helpful information, goods, and services. Founded in 2011, headquartered in San Francisco, California, USA, team size 501-1000 employees, currently Public Company. Nextdoor has a track record of offering H1B sponsorships. Seniority level
Seniority level Entry level Employment type
Employment type Full-time Job function
Industries Software Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job
Medical insurance Vision insurance 401(k) Get notified when a new job is posted. Sign in to set job alerts for “Machine Learning Engineer” roles.
San Francisco, CA $149,998.00-$250,000.00 5 days ago San Francisco, CA $140,670.00-$195,400.00 4 days ago Research Engineer - Machine Learning (ML)
San Francisco, CA $180,000.00-$240,000.00 2 weeks ago San Francisco, CA $140,000.00-$180,000.00 6 months ago Machine Learning Scientist, NLP (All Levels)
San Francisco, CA $200,000.00-$300,000.00 5 months ago Machine Learning Engineer (I, II, or Sr.)
San Francisco, CA $160,000.00-$185,000.00 2 weeks ago Machine Learning Scientist, NLP (All Levels)
San Francisco, CA $200,000.00-$300,000.00 5 months ago San Francisco, CA $150,000.00-$260,000.00 5 months ago San Francisco, CA $100,000.00-$180,000.00 1 year ago San Francisco, CA $88,000.00-$140,000.00 1 month ago San Francisco, CA $120,000.00-$180,000.00 2 weeks ago San Francisco, CA $115,000.00-$185,000.00 3 weeks ago Redwood City, CA $167,200.00-$250,800.00 2 weeks ago Machine Learning Engineer (I, II, or Sr.)
San Francisco, CA $130,000.00-$238,000.00 2 weeks ago San Francisco, CA $180,000.00-$270,000.00 4 months ago San Francisco, CA $140,000.00-$290,000.00 8 months ago San Francisco, CA $190,000.00-$355,000.00 2 weeks ago San Francisco, CA $140,000.00-$170,000.00 2 days ago San Francisco, CA $100,000.00-$300,000.00 1 month ago San Francisco, CA $175,000.00-$225,000.00 9 months ago San Francisco, CA $150,000.00-$250,000.00 1 month ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr