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Attentive
San Francisco, CA, United States
About Attentive: Attentive is the leader in conversational commerce, reinventing business to consumer communication. Our SMS-first software platform helps everyone from entrepreneurs to enterprises strengthen relationships with their consumers in a new way. Through two-way, real-time, personalized communications, we drive billions in e-commerce rev
Job Source: AttentiveRippling
San Francisco, CA, United States
About Rippling Rippling gives businesses one place to run HR, IT, and Finance. It brings together all of the workforce systems that are normally scattered across a company, like payroll, expenses, benefits, and computers. For the first time ever, you can manage and automate every part of the employee lifecycle in a single system. Take onboarding,
Job Source: RipplingBe Golden
San Francisco, CA, United States
[Contract] Software Engineering - Machine Learning at Be Golden (United States) | BEAMSTART Jobs Software Engineering - Machine Learning Be Golden United States Date Posted 19 May, 2023 Work Location San Francisco, United States Salary Offered $20 — $25 yearly Job Type Contract Experience Required 1+ years Remote Work Yes Stock Options No Vac
Job Source: Be GoldenPenn Foster
San Francisco, CA, United States
If you're good at what you do, you can work anywhere. If you're the best at what you do, come work for Doma. Want to infuse a $34B sector of the insurance and real estate industry with predictive analytics and a tech-forward customer experience? Join Doma and send an entirely new type of real estate model into the world. About Us Doma offer
Job Source: Penn FosterLabelbox
San Francisco, CA, United States
Labelbox is the leading data-centric AI platform for building intelligent applications. Teams looking to capitalize on the latest advances in generative AI and LLMs use the Labelbox platform to inject these systems with the right degree of human supervision and automation. Whether they are building AI products by using LLMs that require human fine-
Job Source: LabelboxLabelbox
San Francisco, CA, United States
Labelbox is the leading data-centric AI platform for building intelligent applications. Teams looking to capitalize on the latest advances in generative AI and LLMs use the Labelbox platform to inject these systems with the right degree of human supervision and automation. Whether they are building AI products by using LLMs that require human fine-
Job Source: LabelboxPinterest Job Advertisements
San Francisco, CA, United States
About Pinterest: Millions of people across the world come to Pinterest to find new ideas every day. It's where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. In your role, you'll be challenged to take on work that upholds th
Job Source: Pinterest Job AdvertisementsStripe
San Francisco, CA, United States
Who we are About Stripe Stripe's mission is to increase the GDP of the internet, and we empower businesses of every size to start, run, and scale their operations with world-class financial tools. Our work impacts millions of users around the globe, and we're looking for applied researchers to join our team. What you’ll do About the internship Str
Job Source: StripeSan Francisco, CA, United States
Twilio is looking for a leader, innovator, and team builder in applied Machine Learning who will invent new ways for Machine Learning to improve and power the next generation of communication products.
You will lead teams in natural language processing, speech recognition, dialog management, and general machine learning with a focus on high availability, scale, and product impact.
You bring deep experience in machine learning and complex distributed systems, and are comfortable with both the team and engineering requirements involved in bringing AI systems to production.
You have an in-depth understanding of the algorithmic side of machine learning, proven experience building delivering production quality models, and demonstrated experience building and managing productive teams to drive machine learning impact in organizations.
You have familiarity with ML and NLP tools (TensorFlow, spaCy, scikit-learn), you drive the architecture of the systems, and you are comfortable interfacing with data pipelines and data stores such as MySQL, DynamoDB, and Kafka.
You engage with the broader machine learning community, and understand how advances to the state-of-the-art can power products.
We seek out people who live by our values , who are challenged by problems, empower others to thrive, people who can draw the owl and not be beholden to one playbook. You will succeed by leading an empowered team with company wide impact.
What?
As a Head of Machine Learning Engineering, you will be leading and growing a talented team of machine learning engineers and distributed systems engineers building Twilio’s next generation machine learning products. You will directly lead ML Platform as well as evangelize the application of ML within Twilio across our product lines. In doing so, you will create, own and operate machine learning platforms, as well as the REST APIs, microservices and data pipelines that help us power products with machine learning. You will be responsible for growing and developing the engineering team.
Company:
Twilio
Qualifications:
10 years of people management / leadership experience with a track-record of hiring and developing high performance teams .
MS in a ML field including but not exclusive to Natural Language Processing, Speech Recognition or similar
Deep experience in ML / DL design & implementation — not only at the algorithm level, but also at the system architecture level
Proven ability to build high impact machine learning products and teams that positively impact the bottom line
Proven experience in taking machine learning models to production environments
Demonstrated experience building complex distributed systems with high reliability and scalability
Demonstrated success scaling production backend systems. You can design and develop horizontally scalable, resilient and performing-under-load systems.
Educational level:
Master Degree
Level of experience (years):
Senior (5+ years of experience)
Tagged as: Industry , Machine Learning , Master Degree , Natural Language Processing , NLP , Speech Recognition , United States
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Email Alert for Head of Machine Learning Engineering jobs in San Francisco, CA, United States
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