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Attentive
San Francisco, CA, United States
Attentive® is the AI marketing platform for leading brands, designed to optimize message performance through 1:1 SMS and email interactions. Infusing intelligence at every stage of the consumer's purchasing journey, Attentive empowers businesses to achieve hyper-personalized communication with their customers on a large scale. Leveraging AI-powered
Job Source: AttentiveReveal Health Tech
South San Francisco, CA, United States
Reveal HealthTech is a dedicated healthcare life sciences focused technology services company – helping our clients with a range of AI and product engineering services. Reveal’s mission is to unleash the full potential of technology for our clients by prioritizing trust, agility, and expertise. We bring together domain understanding and engineering
Job Source: Reveal Health TechConviva
Foster City, CA, United States
If you've used Disney+, Peacock, or other top streaming platforms, you've already benefited from Conviva's technology. We empower the world's leading B2C companies, including the biggest names in streaming media, to deliver exceptional digital experiences and optimize the "moments that matter" to their customers and their business. As the global le
Job Source: ConvivaSTOITECH
San Francisco, CA, United States
Are you passionate about using machine learning to improve people's lives? Our client is a growing FinTech startup (Series A funded, ~50 employees) building innovative products that empower everyday consumers to manage their finances. Join their mission-driven Data Science team and make a tangible impact! What You'll Do: Design and develop cutti
Job Source: STOITECHTubi
San Francisco, CA, United States
Join Tubi (www.tubi.tv), Fox Corporation's premium ad-supported video-on-demand (AVOD) streaming service leading the charge in making entertainment accessible to all. With over 200,000 movies and television shows, including a growing library of Tubi Originals, 200+ local and live news and sports channels, and 455 entertainment partners featuring co
Job Source: TubiPatreon
San Francisco, CA, United States
Patreon is the best place for creators to fire up their fandoms, share exclusive work, and turn their passions into lasting creative businesses. Over 250,000 podcasters, writers, musicians, artists, and other creative people use Patreon to reach their biggest fans directly and earn an income for the value they provide. Creators can offer paid membe
Job Source: PatreonPromoted.ai
San Francisco, CA, United States
[Full Time] Staff Machine Learning Engineer at Promoted.ai (United States) | BEAMSTART Jobs Staff Machine Learning Engineer Promoted.ai United States Date Posted 31 Oct, 2022 Work Location San Francisco, United States Salary Offered $100000 — $400000 yearly Job Type Full Time Experience Required 3+ years Remote Work Yes Stock Options Yes Vaca
Job Source: Promoted.aiStoitech
San Francisco, CA, United States
Are you passionate about using machine learning to improve people's lives? Our client is a growing FinTech startup (Series A funded, ~50 employees) building innovative products that empower everyday consumers to manage their finances. Join their mission-driven Data Science team and make a tangible impact! What You'll Do: Design and develop
Job Source: StoitechSan Francisco, CA, United States
About Rippling
Rippling is the first way for businesses to manage all of their HR & IT—payroll, benefits, computers, apps, and more—in one unified workforce platform.
By connecting every business system to one source of truth for employee data, businesses can automate all of the manual work they normally need to do to make employee changes. Take onboarding, for example. With Rippling, you can just click a button and set up a new employees’ payroll, health insurance, work computer, and third-party apps—like Slack, Zoom, and Office 365—all within 90 seconds.
Based in San Francisco, CA, Rippling has raised $1.2B from the world’s top investors—including Kleiner Perkins, Founders Fund, Sequoia, Bedrock, and Greenoaks—and was named one of America’s best startup employers by Forbes (#12 out of 500).
About The Role
We are seeking a highly skilled and experienced Staff+ Machine Learning Engineer to join our team. As an engineer working on large language models (LLMs) at Rippling, you will work closely with product teams to build tools that people use. The work is necessarily cross-functional, and successful individuals on our team have an unusually high degree of ownership. Your expertise will contribute to the advancement of our organization's machine learning capabilities and drive innovation in our products and services.
What You Will Do
Collaborate with cross-functional teams to translate business requirements into models.
Design and develop scalable machine learning pipelines for data preprocessing, feature engineering, model training, and evaluation. You will work with data engineers to collect and preprocess data sets for model training.
Implement models in our production code base (primarily Python, Go).
Stay up-to-date with the latest research in ML and related fields, and apply this knowledge to improve Rippling products.
Qualifications
Ph.D. or equivalent in Computer Science, Engineering, Mathematics, or related field AND 5 or more years full-time Software Engineering work experience; OR
5 years full-time Software Engineering work experience, which includes 4+ years of software engineering experience in one or more of the following areas: advertising, recommendation systems, risk/fraud modeling, or natural language processing.
Comfortable with hands-on programming (eg, Python, Go, Java, C/C++)
Ability to communicate complex technical ideas with clarity and precision.
Additional Qualifications
Experience with developing things that use large language models (LLMs) and familiarity with pre-training and fine-tuning techniques.
Additional Information
Rippling is an equal opportunity employer. We are committed to building a diverse and inclusive workforce and do not discriminate based on race, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other legally protected characteristics, Rippling is committed to providing reasonable accommodations for candidates with disabilities who need assistance during the hiring process. To request a reasonable accommodation, please email [email protected]
Rippling highly values having employees working in-office to foster a collaborative work environment and company culture. For office-based employees (employees who live within a 40 mile radius of a Rippling office), Rippling considers working in the office, at least three days a week under current policy, to be an essential function of the employee's role.
This role will receive a competitive salary + benefits + equity. The salary for US-based employees will be aligned with one of the ranges below based on location; see which tier applies to your location here.
A variety of factors are considered when determining someone’s compensation–including a candidate’s professional background, experience, and location. Final offer amounts may vary from the amounts listed below.
The pay range for this role is:
159,000 - 278,250 USD per year(US San Francisco Bay Area)
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Email Alert for Staff Machine Learning Engineer jobs in San Francisco, CA, United States
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