ML Engineer



501-1,000 employees

AI research firm creating reliable, interpretable systems

AI & Machine Learning

Compensation Overview

$250,000 - $375,000Annually

+ Equity + Benefits

Mid, Senior

San Francisco, CA, USA

  • 3+ years of experience training or finetuning deep learning models
  • 2+ years of experience as a Forward Deployed Engineer, Sales Engineer, Solutions Architect, or Platform Engineer
  • Designed novel and innovative solutions for technical platforms in a developing business area
  • Strong technical aptitude to partner with engineers and proficiency in software engineering
  • The ability to navigate and execute amidst ambiguity, and to flex into different domains based on the business problem at hand, finding simple, easy-to-understand solutions
  • Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
  • A love of teaching, mentoring, and helping others succeed
  • Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders
  • Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems
  • Act as the primary technical advisor for prospective customers evaluating prompt engineering and finetuning projects on Claude
  • Demonstrate how Claude can address the customer's use cases through proofs of concept
  • Provide technical guidance on integration, deployment, and adoption best practices
  • Partner closely with account executives to understand customer requirements
  • Configure Claude's capabilities to showcase how it meets the customer's needs
  • Develop customized pilots and prototypes, as well as evaluation suites to make the case for customer adoption
  • Drive technical decision making by advising on optimal setup, architecture, and integration of Claude into the customer's existing infrastructure
  • Recommend solutions to technical roadblocks
  • Support customer onboarding by working cross-functionally to ensure successful ramp and adoption
  • Serve as an ongoing technical advisor throughout implementation and beyond go-live
  • Travel occasionally to customer sites for workshops, implementation support, and building relationships
  • Establish a shared vision for creating solutions that enable beneficial and safe AI
  • Lead the vision, strategy, and execution of innovative solutions that leverage our latest models’ capabilities

Anthropic stands out as a leader in the AI research industry, with a focus on creating reliable, interpretable, and steerable AI systems, demonstrated by their first product, Claude, an AI assistant designed for tasks of any scale. The company's diverse and interdisciplinary team, with expertise in ML, physics, policy, and product, fosters a collaborative culture that drives the development of beneficial AI systems. Their broad research interests, encompassing areas such as natural language, human feedback, scaling laws, reinforcement learning, code generation, and interpretability, position them at the forefront of technical innovation in AI.

Company Stage

Series B

Total Funding



San Francisco, California



Growth & Insights

6 month growth


1 year growth


2 year growth