Jobs via Dice ยท 3 hours ago
Lead ML Engineer, Full Stack
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. The company is seeking a passionate and highly skilled AI/SW Engineer to join their team in Tableau, developing AI-powered analytics agents to help customers engage with data effectively.
Computer Software
Responsibilities
Collaborate with product managers, fellow engineers, and researchers to build next-generation generative AI products and prototypes to make our customers successful
Propose and rapidly iterate on ideas and experiments, as though in a startup environment, to achieve product-market fit for cutting-edge analytics agents
Build and shape user experiences using context engineering and generative AI capabilities
Design and build scalable and performant agentic systems, taking throughput and latency into account, recognizing how and where to apply parallel processing, stream processing, and asynchronous I/O
Evaluate the performance and quality of the agentic solutions you are building against customer use cases
Solve challenges with probabilistic software, ensuring defensive error handling, streaming data optimization, caching, and explainability
Implement logging, tracing mechanisms, and tools to facilitate debugging, diagnostics, and performance tracking
Engage in light DevOps tasks, leveraging infrastructure best practices to deploy and monitor AI-driven systems
Qualification
Required
Adaptable and Innovative Mindset: Fearless about learning new technologies and excited to work in a fast-paced, ambiguous environment. Possess a problem-first approach with a careful and principled methodology for building resilient systems
Expertise in shaping experiences with LLMs and agents
Proficient with evaluation of ML model performance
Strong Programming and Distributed Systems Development Skills: Proficient in Python, Java, or other languages. Experience building full-stack applications with expertise in either backend, frontend, or both. Ability to handle error cases, write asynchronous code, and work effectively with streaming data. Professional experience in developing, scaling, and maintaining applications at a production scale
Experience with Modern Software Development Practices: Familiar with DevOps principles, infrastructure best practices, and cloud-based deployments. Knowledgeable about queues, message buses, and event-driven architectures
Benefits
Time off programs
Medical
Dental
Vision
Mental health support
Paid parental leave
Life and disability insurance
401(k)
Employee stock purchasing program
Company
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Funding
Current Stage
Early StageCompany data provided by crunchbase