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Labelbox
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 AdvertisementsPinterest 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 AdvertisementsHarnham
San Francisco, CA, United States
Engineering Manager - ML Platform Hybrid Work model, Must be in the Bay Area or open to relocation to the Bay Area $230,000 - $275,000 + Competitive Benefits THE COMPANY COMPANY: A growing health tech start up developing a revolutionary product using Generative AI that will transform traditional healthcare for the future. TEAM: Machine learning an
Job Source: HarnhamDisney Entertainment & ESPN Technology
San Francisco, CA, United States
Overview: The vision of the Machine Learning (ML) Engineering team at Disney is to drive and enable ML usage across several domains in heterogeneous language environments and at all stages of a project’s life cycle, including ad-hoc exploration, preparing training data, model development, and robust production deployment. The team is invested in c
Job Source: Disney Entertainment & ESPN TechnologyPinterest 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 AdvertisementsRippling
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: RipplingSan 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 revenue and over 8,000 leading brands like CB2, Urban Outfitters, Crocs, Jack in the Box, and Coach rely on Attentive to deliver powerful commerce experiences.Attentive’s growth has been recognized by Deloitte’s Fast 500 , Linkedin’s Top Startups and Forbes Cloud 100 all thanks to the hard work from our global employees! Who We Are Our engineering department consists of 200+ people across multiple teams, such as application development, infrastructure, data platform, machine learning, and security. We believe our company will win in the long run through product innovation. To get there, we obsess over iteratively delivering customer value through rapid prototyping and data-driven decision-making.We're looking for an Engineering Manager to lead a newly formed team of Engineers working to develop and enhance our marketing platform by automating the everyday marketer task’s by leveraging machine learning. You will contribute to the development of machine learning models and infrastructure needs across the Attentive platform and work with Product Management and Engineering to implement end-to-end modeling use cases. This is a hands-on role where you are expected to balance people management, technical oversight, and cross-functional leadership. Why Attentive Needs You:
You’ll participate in the detailed technical design, development, implementation and support of web stack and machine learning and its capabilities applications using existing and emerging technology platforms.
You will collaborate with our product management team to craft plans to achieve our business goals.
You'll serve as a technical domain expert in machine learning, data processing, data serving architectural design decisions, developing and reviewing model and application code, and ensuring high availability and performance of our applications.
You are an effective people manager, who can manage high-performing teams, and helps them reach their highest potential.
About you:
You have experience leading teams building products based on machine learning
You are an excellent coach, mentor, and developer of engineers.3yrs of industry experience using ML to solve real-world problems with large datasets
You care about software quality, and have a track record of building reliable, high-uptime systems.
You translate business needs into clearly scoped ML projects, and take a hands-on approach to steer solution design and implementation
You are excited by new technologies, yet know how to evaluate and choose the right tools for the right reasons.
Our scale:
8,000 brands powered by Attentive sent over 1.6 billion text messages over Cyber Week 2022 (Black Friday/Cyber Monday) representing a growth of 41% from 2021
We sent 24 billion SMS messages in 2022. That’s an average of 50 million per day
Our production cluster contains over 9,000 containers which serve 170+ services
Our streaming services process over 28 billion events per month
What we use:
Our infrastructure runs primarily in Kubernetes hosted in AWS’s EKS
Infrastructure tooling includes Istio, Datadog, Terraform, CloudFlare, and Helm
Our backend is Java / Spring Boot microservices, built with Gradle, coupled with things like DynamoDB, Kinesis, AirFlow, Postgres, Planetscale, and Redis, hosted via AWS.
Our frontend is built with React and TypeScript, and uses best practices like GraphQL, Storybook, Radix UI, Vite, esbuild, and Playwright
Our automation is driven by custom and open source machine learning models, lots of data and built with Python, Metaflow, HuggingFace , PyTorch, TensorFlow, and Pandas.
You’ll get competitive perks and benefits from health & wellness to equity , to help you bring your best self to work. For US based applicants:
The standard base salary range for this position is $199,200 to $298800 annually.
This position is eligible for equity in the form of RSUs.
Attentive Company Values
Default to Action - Move swiftly and with purpose Be One Unstoppable Team - Rally as each other’s champions Champion the Customer - Our success is defined by our customers' success Act Like an Owner - Take responsibility for Attentive’s successLearn more about AWAKE , Attentive’s collective of employee resource groups.If you do not meet all the requirements listed here, we still encourage you to apply! No job description is perfect, and we may also have another opportunity that closely matches your skills and experience.At Attentive, we know that our Company's strength lies in the diversity of our employees. Attentive is an Equal Opportunity Employer and we welcome applicants from all backgrounds. Our policy is to provide equal employment opportunities for all employees, applicants and covered individuals regardless of protected characteristics. We prioritize and maintain a fair, inclusive and equitable workplace free from discrimination, harassment, and retaliation.
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Email Alert for Engineering Manager, Machine Learning jobs in San Francisco, CA, United States
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