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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: LabelboxAttentive
San Francisco, CA, United States
About Attentive: 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. Leve
Job Source: AttentiveHive
San Francisco, CA, United States
About Hive Hive is the leading provider of cloud-based AI solutions to understand, search, and generate content, and is trusted by hundreds of the world's largest and most innovative organizations. The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive al
Job Source: HiveChime
San Francisco, CA, United States
About the Role In this role, you'll be part of the Data Science/Machine Learning and Platform team, responsible for developing innovative data solutions at Chime. You will work across teams at Chime to ensure that the data-related needs of various business domains such as fraud, credit, marketing, and product are met. You will own strategic initia
Job Source: ChimeClari
San Francisco, CA, United States
Clari’s Revenue platform gives forecasting accuracy and visibility from the sales rep to the board room on revenue performance - helping them spot revenue leak to answer if they will meet, beat, or miss their sales goals. With insights like this, no wonder leading companies worldwide, including Okta, Adobe, Workday, and Zoom use Clari to drive reve
Job Source: ClariLuminai
San Francisco, CA, United States
At Luminai we develop technology to reliably migrate and manage enterprise business processes with scalable automation infrastructure, using safe and effective AI. We're working hard on helping people spend less time on repetitive monotonous tasks that a computer could do, and instead let them focus on things that matter. Luminai is revolutionizin
Job Source: LuminaiRemedy Robotics
San Francisco, CA, United States
About Remedy Robotics Cardiovascular disease is the #1 cause of morbidity and mortality in the world. Much of this could be prevented with better access to specialist care. Take stroke as an example: any delay in treatment can lead to permanent disability or death. However, due to a lack of specialist surgeons, the most effective intervention can o
Job Source: Remedy RoboticsSPAN Inc
San 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-ho
Job Source: SPAN IncSan 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 tools, a mobile-first approach, two-way conversations, and enterprise-grade technology, Attentive drives billions in online revenue for brands around the globe. Trusted by over 8,000 leading brands such as CB2, Urban Outfitters, GUESS, Dickey’s Barbecue Pit, and Wyndham Resort, Attentive is the go-to solution for delivering powerful commerce experiences for consumers with the brands they love.
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 are seeking a self-driven and highly motivated Machine Learning Engineer to join our growing machine learning teams. As an early hire, 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. Why Attentive needs you You have a proven track record of building systems that maintain a high bar of quality
You deeply loathe regressions and take proactive steps to protect against them through a variety of testing techniques
You are a collaborator, technical leader, and a great communicator
You are constantly improving the quality of the project you are working on, both via direct contributions as well as long-term advocacy for larger-scale changes
You are enthusiastic about the high impact, fast-paced work environment of an late-stage startup
About you You have worked professionally building systems for 6+ years with experience on a single system long enough to see the consequences of your decisions
Experience with TensorFlow/Pytorch, xgboost, pandas, matplotlib, SQL, Spark or similar tools
You have proficiency or experience with PythonYou have extensive experience using machine learning and data analysis, or similar, to build scalable systems and data-driven products, working with cross-functional teams
You have a proven track record of building scalable, efficient, automated processes for large-scale data analyses, model development, model validation, and model implementation from modern research
You have led cross-functional machine learning projects across teams
Our scale 8,000 brands powered by Attentive sent over 2.2 billion text messages over Cyber Week 2023 (Black Friday/Cyber Monday) representing a growth of 31% from 2022
We sent 32 billion SMS messages in 2023, up 32% YoY. That’s an average of 87 million per day
Our production cluster contains over 18,000 containers which serve 200+ services
Our streaming services process over 80 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 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
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 US base salary range for this full-time position is $203,000 - $290,000 annually + equity + benefits - Our salary ranges are determined by role, level and location
#LI-EF1
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 success
Learn 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.
Email Alert for Staff Machine Learning Engineer jobs in San Francisco, CA, United States
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