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PicnicHealth
San Francisco, CA, United States
[Full Time] Machine Learning Engineer at PicnicHealth (United States) | BEAMSTART Jobs Machine Learning Engineer PicnicHealth United States Date Posted 17 May, 2023 Work Location San Francisco, United States Salary Offered $150 — $185 yearly Job Type Full Time Experience Required 6+ years Remote Work Yes Stock Options No Vacancies 1 available
Job Source: PicnicHealthSwish Analytics
San Francisco, CA, United States
Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passi
Job Source: Swish AnalyticsTavus
San Francisco, CA, United States
[Full Time] Machine Learning Engineer at Tavus (United States) | BEAMSTART Jobs Machine Learning Engineer Tavus United States Date Posted 11 May, 2023 Work Location San Francisco, United States Salary Offered $125000 — $170000 yearly Job Type Full Time Experience Required 3+ years Remote Work Yes Stock Options Yes Vacancies 1 available Backed
Job Source: TavusCleanlab
San Francisco, CA, United States
At Cleanlab you will Pioneer novel software systems for the rapidly growing field of data-centric AI. Our tools enable data scientists/engineers (across all industries) to effectively diagnose/fix issues in their datasets thus improving the quality of their business’s core asset. Determine how to best leverage new Generative AI advances/infrastruct
Job Source: CleanlabJob Board
San Francisco, CA, United States
By making evidence the heart of security, we help customers stay ahead of ever-changing cyber-attacks. Corelight is a cybersecurity company that transforms network and cloud activity into evidence. Evidence that elite defenders use to proactively hunt for threats, accelerate response to cyber incidents, gain complete network visibility and create
Job Source: Job BoardCalico LLC
South San Francisco, CA, United States
We’re explorers, optimists, scientists, engineers, inventors, technologists, drug developers and more, working together to make a difference in peoples’ lives. Science. Freedom. Community We are curious by nature. We love science and have the sense of wonder that is required to succeed ina diverseareaof discoverysuch as aging. We’re excited and hu
Job Source: Calico LLCHyper Online
San Francisco, CA, United States
[Full Time] Machine Learning Engineer at Hyper Online (United States) | BEAMSTART Jobs Machine Learning Engineer Hyper Online United States Date Posted 02 Feb, 2023 Work Location San Francisco, United States Salary Offered Not Specified Job Type Full Time Experience Required 3+ years Remote Work Yes Stock Options No Vacancies 1 available Abou
Job Source: Hyper OnlineAutodesk
San Francisco, CA, United States
Job Requisition ID # 24WD78712 Digital Experience & Customer Empowerment Machine Learning Team (DXC-ML) @Autodesk The DXC-ML Team is responsible for delivering Machine Learning features that enhance the customer experience for Sales, Marketing, and Customer Success functions at Autodesk. We aim to help our customers through
Job Source: AutodeskSan Francisco, CA, United States
Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and it's AR glasses, Spectacles.
Snap Engineering teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters around the world, every day. We’re deeply committed to the well-being of everyone in our global community, which is why our values are at the root of everything we do. We move fast, with precision, and always execute with privacy at the forefront.
We’re looking for a Machine Learning Engineer to join Snap Inc!
What you’ll do:
Create models which help drive value for users, advertisers, and our company
Evaluate the technical tradeoffs of every decision
Perform code reviews and ensure exceptional code quality
Build robust, lasting, and scalable products Iterate quickly without compromising quality
Knowledge, Skills & Abilities:
Strong understanding of machine learning approaches and algorithms
Able to prioritize duties and work well on your own
Ability to work with both internal and external partners
Skilled at solving open ambiguous problems
Strong collaboration and mentorship skills
Minimum Qualifications:
Bachelor's degree in technical field such as computer science, mathematics, statistics or equivalent years of experience
3+ years machine learning experience in industry
Preferred Qualifications:
Advanced degree in computer science or related field
Experience working with machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworks
Experience working with machine learning, ranking infrastructures, and system design
"Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office at least 80% of the time (an average of 4 days per week). For roles with remote consideration: Remote team members still are expected to travel for mandatory in-person gatherings and to fulfill business needs, at least 4 to 6 times per year.
At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets. If you have a disability or special need that requires accommodation, please don’t be shy and contact us at [email protected].
Our Benefits: Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success!
Compensation
In the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These pay zones may be modified in the future.
Zone A (CA, WA, NYC):
The base salary range for this position is $175,000-$250,000 annually.
Zone B:
The base salary range for this position is $166,000-$238,000 annually.
Zone C:
The base salary range for this position is $149,000-$213,000 annually.
This position is eligible for equity in the form of RSUs.
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Email Alert for Machine Learning Engineer, 3+ Years of Experience jobs in San Francisco, CA, United States
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