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Company: Shipt, Inc.
Location: San Francisco, CA
Position Type: Full Time
Experience: See below for details
Education: See below for details
Responsible for developing and deploying machine learning systems for product recommendations, search, and catalog intelligence. This position requires a Master’s degree or equivalent in Data Science, Statistics, or Computer Science and 1 year of experience working in data science and machine learning. Must also have 6 months of experience with each of the following: (1) using both established and cutting edge deep learning and statistical models to build data science products that power personalized and differentiated customer experiences; (2) implementing statistical models and machine learning algorithms to optimize for customer and business outcomes at scale; (3) building statistical measurement capabilities to measure the incremental impact of new experiences on a wide variety of outcomes; (4) utilizing data visualization tools, knowledge and application of cloud computing services, including machine learning operations and orchestration; and (5) working with the following tools: Python, R, Kafka, Airflow, GCP, Redis as well as the following deep learning stacks: pytorch, tensorflow, and huggingface. Will accept experience gained before, during or after Master’s program. Employer will accept experience gained concurrently. Salary: $128,398 to $247,000/year. Please go to our website for benefits information and to apply: https://www.shipt.com/careers/ or apply by email at careers@shipt.com. Show more »
Location: San Francisco, CA
Position Type: Full Time
Experience: See below for details
Education: See below for details
Responsible for developing and deploying machine learning systems for product recommendations, search, and catalog intelligence. This position requires a Master’s degree or equivalent in Data Science, Statistics, or Computer Science and 1 year of experience working in data science and machine learning. Must also have 6 months of experience with each of the following: (1) using both established and cutting edge deep learning and statistical models to build data science products that power personalized and differentiated customer experiences; (2) implementing statistical models and machine learning algorithms to optimize for customer and business outcomes at scale; (3) building statistical measurement capabilities to measure the incremental impact of new experiences on a wide variety of outcomes; (4) utilizing data visualization tools, knowledge and application of cloud computing services, including machine learning operations and orchestration; and (5) working with the following tools: Python, R, Kafka, Airflow, GCP, Redis as well as the following deep learning stacks: pytorch, tensorflow, and huggingface. Will accept experience gained before, during or after Master’s program. Employer will accept experience gained concurrently. Salary: $128,398 to $247,000/year. Please go to our website for benefits information and to apply: https://www.shipt.com/careers/ or apply by email at careers@shipt.com. Show more »
Refcode: #IPCSFC00146841
Company: ReadyOn, Inc.
Location: San Francisco, CA
Position Type: Full Time
Experience: See below for details
Education: See below for details
to dvlp & maintain APIs using NestJS & Node.js, manage PostgreSQL & MongoDB databases, etc. Deg'd applicants exp'd w/ S3, Azure DevOps, AWS Lambda, AWS Elastic Beanstalk, etc. Salary range: $130,250 to $131,000/yr. Send resume to careers@readyon.ai. Show more »
Location: San Francisco, CA
Position Type: Full Time
Experience: See below for details
Education: See below for details
to dvlp & maintain APIs using NestJS & Node.js, manage PostgreSQL & MongoDB databases, etc. Deg'd applicants exp'd w/ S3, Azure DevOps, AWS Lambda, AWS Elastic Beanstalk, etc. Salary range: $130,250 to $131,000/yr. Send resume to careers@readyon.ai. Show more »
Refcode: #IPCSFC00149831
Company: Nextdoor, Inc.
Location: San Francisco, CA
Position Type: Full Time
Experience: See below for details
Education: See below for details
(Telecommutg permittd) to Build Machine Learning (ML) infrastrctre build, maintn, & iterate on ML prodcts. Reqs Mastr's degr, or foreign equiv, in Comp Sci, Applied Math, Stats, or rltd field & 2 yrs exp as in rltd positn. Must have exp in: Buildg, traing & maintng ML modls that utilze time series data, custmr or tabulr data, or image/video data; Dvlpg ML technques & improvg stats & ML modl perfrmnce using Pythn & dtbase langs; Anlyzg dtsets & using featres to build ML modls; Utilzg NLP to build word represntatn for doc clusterg & text classifctn; Applyg deep learng algorthms for entity recommndtn; Utilzg data procssing langs/tools; & Utilzg ML model framewks such as numpy, pandas &/or PyTorch. 40 hrs/wk; Salary: $160,000-180,000/yr. To apply, visit: https://job-boards.greenhouse.io/openings. Show more »
Location: San Francisco, CA
Position Type: Full Time
Experience: See below for details
Education: See below for details
(Telecommutg permittd) to Build Machine Learning (ML) infrastrctre build, maintn, & iterate on ML prodcts. Reqs Mastr's degr, or foreign equiv, in Comp Sci, Applied Math, Stats, or rltd field & 2 yrs exp as in rltd positn. Must have exp in: Buildg, traing & maintng ML modls that utilze time series data, custmr or tabulr data, or image/video data; Dvlpg ML technques & improvg stats & ML modl perfrmnce using Pythn & dtbase langs; Anlyzg dtsets & using featres to build ML modls; Utilzg NLP to build word represntatn for doc clusterg & text classifctn; Applyg deep learng algorthms for entity recommndtn; Utilzg data procssing langs/tools; & Utilzg ML model framewks such as numpy, pandas &/or PyTorch. 40 hrs/wk; Salary: $160,000-180,000/yr. To apply, visit: https://job-boards.greenhouse.io/openings. Show more »
Refcode: #IPCSFC00149421
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