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Perplexity
San Francisco, CA, United States
Perplexity is building the next generation answer engine, empowering our users to find information in new and more effective ways. Perplexity applies LLMs for knowledge search at scale, serving millions of users across the world. In pursuit of this mission, we are looking for engineers to build recommendation systems for a more engaging, easier to
Job Source: PerplexityQuantum Technologies. LLC
San Francisco, CA, United States
W-2 Open Positions Need to be Filled Immediately. Consultant must be on our company payroll, Corp-to-Corp (C2C) is not allowed. Candidates encouraged to apply directly using this portal. We do not accept resumes from other company/ third-party recruiters Job Overview Specialized Area: Machine learning Job Title: Machine Learning Engineer Locatio
Job Source: Quantum Technologies. LLCCommit
San Francisco, CA, United States
About Us: Commit is working with a confidential partner on this role. Applicants proceeding to the next stage will receive further information about the employer and recruiting process. About the company: Company Size - 25 People Approx Funding - $30M Company Stage - Series A Backed by : Databricks Ventures, Bain Capital Ventures, Menlo Ventures In
Job Source: CommitRobust Intelligence
San Francisco, CA, United States
Vision Robust Intelligence's mission is to eliminate AI Risk. As we transition into a world that is adopting AI into automated decision processes, we inherit a great deal of risk. Data drift, misclassified data, prediction biases and adversarial input easily distort AI outputs and can have detrimental effects. In addition, with viral adoption of
Job Source: Robust IntelligenceHireio, Inc.
San Francisco, CA, United States
Responsible for the research and application of the company's large-scale models, exploring new applications and solutions for related technologies in the fields of search, recommendation, advertising, content creation, and customer service, to meet the growing demand for intelligent interactions from users and comprehensively improve their way of
Job Source: Hireio, Inc.Stealth Startup
San Francisco, CA, United States
We are one of the leading tech investment firms globally, with a track record of investing in some of the most valuable companies in the world. We are helping our early stage (Pre-Seed -> Series B) portfolio companies grow their teams. A portfolio company is looking to hire machine learning engineers as their sales increase and they confirm product
Job Source: Stealth StartupSalesforce
San Francisco, CA, United States
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software Engineering Job Details About Salesforce We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help com
Job Source: SalesforceReplicate, Inc.
San Francisco, CA, United States
You’re a machine learning engineer who is an expert at productionizing and optimizing models. We have a huge library of community-contributed machine learning models. You’ll maintain some of the most popular ones so they’re fast and reliable. It’ll involve implementing open-source models, optimizing them, and doing general maintenance on them. It
Job Source: Replicate, Inc.San Francisco, CA, United States
Shipt, Inc. seeks a full-time Machine Learning Engineer based in San Francisco, CA. This role will drive the development and deployment of key AI initiatives (e.g., personalization, price optimization, promotion optimization, and ad tech platform) and services (e.g., quality, efficiency, security, and affordability). This position requires a Master’s degree or equivalent in Computer Science, Engineering, Mathematics, or related quantitative STEM field. Must have 24 months of experience in proffered position or similar position (e.g., Application Developer, Software Developer, Systems Engineer, Software Engineer) working on software development. Work experience must also include at least 1 year of experience with the following: (1) Big Data Technologies (e.g., Hadoop, Spark, Hive); (2) developing and deploying machine learning models in production; (3) Python API development framework (e.g., Fast API, Django, Flask); (4) cloud computing services or platforms (e.g., GCP, AWS, Azure); and (5) fundamentals of Computer Science: data structures, algorithms, etc. Salary: $147,368 to $214,410/year. This position is hybrid. A candidate may work from the company’s San Francisco address or from the candidate’s home address, which must be within commuting distance, as authorized by a manager. Limited travel to company’s offices for work reasons may be needed. Please apply online at https://www.shipt.com/careers/ or by email at [email protected].
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the
basis of race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy,
childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression,
transgender status, sexual stereotypes, age, military or veteran status, disability, or any other
characteristic protected by law. Please inform your recruiting contact upon initial connection if you need
any accommodations. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for
employment qualified applicants with arrest and conviction records.
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Email Alert for Machine Learning Engineer jobs in San Francisco, CA, United States
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