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Rippling
San 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
Job Source: RipplingReveal 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: ConvivaTubi
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 cutti
Job Source: STOITECHStoitech
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
The Role
We aim to establish the Span panel as the center of home energy and the backbone of the renewable distributed grid. Analytics and ML are essential tools to develop features for the smart, green, energy-efficient home of the future. Span’s unique ability to monitor and control individual circuits opens up a new avenue for proactive whole-home management and equipment failure detection. As Staff ML Engineer, you will leverage your deep understanding of ML, modeling, and statistics to solve problems including anomaly detection, event prediction and context understanding with the goal to optimally manage whole-home energy consumption, deliver meaningful insights to the customer, and notify them about a potential failure of equipment or hazards in their home. You’ll spearhead the entire development process, from working with the product team to define scope, the the firmware team to assess what can be implemented, the cloud team on ML ops, and the data collection team for training data. That said, we are a startup - broad range of production software development skills, flexibility to wear many hats, and enthusiasm to learn will go a long way.
Responsibilities
Lead the development of ML algorithms from the ground up which includes:
Gain knowledge in the relevant domain (e.g.appliance signatures, failure modes, load disaggregation)
Feature engineering (including embedded implementation)
Use your experience with different machine learning frameworks to identify suitable tools for integration in Span’s software platform
Integrate developed algorithms in our production code base with robust test coverage
Work with the firmware and software teams to design Span’s edge model deployment framework
Proactively identify opportunities within Span that can benefit from data science analysis
Use fleet data to monitor algorithms in the field
Guide selection of hardware for next generation products and recommend ways to future-proof our designs
Note: We’re a startup, so while this list is broad, it’s still just a start; you’ll end up wearing many hats during your time at Span.
About You
Required Qualifications
Master’s degree or higher in Computer Science, Mathematics, Engineering, or a closely related field
5+ years' of professional experience with developing and implementing machine learning models in production for a IOT / hardware related product ; 7+ years of overall experience
Deep understanding machine learning algorithms (feature extraction from high-frequency signals, ML for physical processes, model compression and edge inference)
Advanced Python skills, as well as familiarity with pandas and various ML toolkits (pytorch / tensorflow)
Software design experience and ability to write clean, maintainable, and shippable production code
Experience working with SQL and data visualization tools
Extensive data modeling and data architecture skills
Knowledge and experience working within cloud computing environments such as AWS
Strong communication and interpersonal skills
Ability to understand and explain complex problems simply and effectively
Bonus Qualifications
Exposure to digital signal processing as applied to feature extraction and processing
CUDA programming / distributed training methods
Experience in non-intrusive load measurement methods
Blind source separation techniques including ICA / PCA / EMD
Understanding of electrical systems and residential loads
The U.S. base salary range for this position is $190,000 - $225,000 plus benefits, equity and variable compensation for Sales-related roles. This range represents SPAN’s good faith estimate of competitively-priced salary for the role based on national, real-time industry data from companies of a similar growth stage. This range reflects minimum and maximum new hire salaries for the role across US locations. Within the range, individual pay is determined by location and individual factors including relevant skills, experience and education or training. This range correlates to the relative level of the candidate we believe we need for the role and may require an adjustment for candidates of a different level.
Your recruiter can share more about the specific salary range for the location this role is based during the hiring process.
Life at SPAN
Headquartered in San Francisco’s vibrant SoMa neighborhood, we are an eclectic group of creative thinkers who value open communication, teamwork, and a ‘make it happen’ approach to addressing complex challenges.
SPAN embraces diversity and equal opportunity in a serious way. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills.
We’re hiring talented individuals who are driven by success and are passionate about shaping the future of renewable energy. If that sounds like you, we’d love for you to consider joining the rapidly growing team at SPAN.
The Perks:
⚡ Competitive compensation + equity grants at a well-funded, venture-backed company
⚡ Comprehensive benefits (including medical; dental, vision, life and disability insurance)
⚡ Comfortable, sunny office space located near BART and Caltrain public transit
⚡ Strong focus on teambuilding and company culture (events, meet-ups, clubs)
⚡ Flexible hours and unlimited PTO
Email Alert for Staff Machine Learning Engineer jobs in San Francisco, CA, United States
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