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Engineering Manager, Machine Learning
Attentive San Francisco, CA
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$162k-204k (estimate)
Full Time 6 Days Ago
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Attentive is Hiring an Engineering Manager, Machine Learning Near San Francisco, CA

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.Attentives growth has been recognized by Deloittes Fast 500 , Linkedins 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 tasks 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: Youll 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 learningYou are an excellent coach, mentor, and developer of engineers.3yrs of industry experience using ML to solve real-world problems with large datasetsYou 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 implementationYou 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 2021We sent 24 billion SMS messages in 2022. Thats an average of 50 million per dayOur production cluster contains over 9,000 containers which serve 170 servicesOur streaming services process over 28 billion events per monthWhat we use: Our infrastructure runs primarily in Kubernetes hosted in AWSs EKSInfrastructure tooling includes Istio, Datadog, Terraform, CloudFlare, and HelmOur 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 PlaywrightOur automation is driven by custom and open source machine learning models, lots of data and built with Python, Metaflow, HuggingFace , PyTorch, TensorFlow, and Pandas.Youll 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 others champions Champion the Customer - Our success is defined by our customers' success Act Like an Owner - Take responsibility for Attentives successLearn more about AWAKE , Attentives 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.#J-18808-Ljbffr

by Jobble

Job Summary

JOB TYPE

Full Time

SALARY

$162k-204k (estimate)

POST DATE

04/21/2024

EXPIRATION DATE

05/06/2024

WEBSITE

attentivemobile.com

HEADQUARTERS

WASHINGTON STREET, NJ

SIZE

500 - 1,000

FOUNDED

2016

CEO

BRIAN LONG

REVENUE

$5M - $10M

INDUSTRY

IT Outsourcing & Consulting

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The following is the career advancement route for Engineering Manager, Machine Learning positions, which can be used as a reference in future career path planning. As an Engineering Manager, Machine Learning, it can be promoted into senior positions as a Product Management Director that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Engineering Manager, Machine Learning. You can explore the career advancement for an Engineering Manager, Machine Learning below and select your interested title to get hiring information.

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