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Senior Software Engineer, AI/ML, Heroku

Salesforce
Washington, United StatesRemotefull_timeVerifiedPosted 8 Dec 2023
💰 $237,200/yr($133,400/yr$237,200/yr)

About the role

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Job Category

Software Engineering

Job Details

About Salesforce

We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.

Heroku operates the world’s largest PaaS cloud, continuously delivering millions of apps with 6+ million container deployments, 16+ billion routing requests, and 10+ terabytes of application logs per day. Our vision is for developers to focus on their applications and leave operations to us.

Equality is a core value for Salesforce; it's at the heart of everything we do and strive to be. That means Equal Opportunity, Equal Advancement and Equal Pay for all. We do not discriminate on the basis of race, religion, color, national origin, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status.

Heroku is seeking a senior software engineer for our exciting new AI, machine learning, and LLM offerings for our customers. Delivering on the promise of AI involves a lot of data, security, and privacy concerns, and you must be able to simplify these complexities and deliver delightful AI capabilities in Heroku’s opinionated and powerful developer experience. You will focus on a range of AI opportunities: from hosting our customers’ AI workloads within a fully managed service, to delivering Heroku assistants for operators and developers, and using AI to improve the efficiency of Heroku’s internal platform.

We hope you are passionate about joining our community of engineers. We love to learn, to operate a gigantic distributed system, and to foster a remote culture of support and growth.

Responsibilities

  • Learn and contribute to AI, ML, and LLM capabilities across the Heroku platform
  • Maintain and modernize the team’s software portfolio
  • Resolve technical issues and drive improvements of system scalability, robustness, automation, and availability
  • Work closely with cross-functional teams to discover and mitigate known and unknown risks
  • Use data to explain trends and trade-offs, establish patterns, and prioritize work
  • Participate in designing and delivering new AI, ML, and LLM capabilities
  • Test, troubleshoot, and debug issues with the services that our team develops and owns related to safety, functionality, and performance
  • Create, maintain and share documentation used by engineers, other team members and internal customers
  • Participate in the team’s on-call rotation to keep services operational and highly available

Qualifications

  • BS or MS in Engineering, Computer Science, Artificial Intelligence, Machine Learning, or related disciplines or equivalent experience in technical leadership roles.
  • Expertise in Python, Ruby, JavaScript, and/or Go. Or expertise in Java and willingness to learn new programming languages.
  • Interest in learning, building, delivering, and operating AI capabilities in AWS infrastructure.
  • Awareness of machine learning software frameworks including PyTorch, pgvector, JAX, Neuron, MXNet, TensorFlow, or similar technologies.
  • You are a curious, self-directed problem solver who enjoys working with people
  • 3+ years in a full-time, professional software engineering or ML role
  • Experience in a collaborative team environment of software engineers
  • A commitment to winning together as a team, and collaboration over going it alone
  • Experience in continuous delivery and short release cycles
  • Enthusiasm for learning new languages, frameworks, and skills
  • Experience deploying, operating and supporting critical production systems
  • Experience using telemetry and metrics to drive operational excellence
  • Ability to debug, optimize code, and automate routine tasks
  • Ability to communicate async-first as part of a globally distributed team
  • Strong written and verbal communication skills, including the ability to work effectively with geographically distributed teams and people of various backgrounds
  • Willingness to work on a distributed team spanning multiple time zones

Preferred skills

  • Familiarity with Heroku
  • Experience using AWS and familiarity with its services and offerings
  • Experience with conta

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Company

Salesforce

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