Valence

Valence

Staff Software Engineer, Applied AI

San Francisco, California · Staff+ · Contract

Work authorization requiredDetected 27 days ago
Distributed SystemsBackend DevelopmentSQLAWSGCPAzureCloud PlatformsDockerKubernetesMachine Learningscikit-learnPandasNumPyData EngineeringData ScienceNLPLLMsA/B TestingIntellectual PropertyResearchLeadershipCommunicationMentoringAdaptability

About the role

  • You'll tackle real-world AI problems - from transforming enterprise data into actionable context, to optimizing conversational experiences, to shaping how AI engages with users in meaningful and responsible ways.
  • We're the only company pioneering leadership coaching for large enterprises in an AI-first way.
  • We've been featured in Harvard Business Review, TIME, World Economic Forum, Financial Times, Forbes and an Inc.

Responsibilities

  • Architect and build enterprise-grade AI and conversational systems that power coaching workflows and user experiences.
  • Develop, evaluate, and refine LLM-based components - balancing performance, scalability, and reliability in real use cases.
  • Integrate and manage diverse sources of structured and unstructured data to improve contextual understanding and output quality.
  • Partner closely with product, engineering, and design to translate user needs into impactful technical solutions.
  • Build tooling, tests, and automation to support reliable model deployment, observability, and continuous improvement.
  • Cloud & deployment experience: Comfortable developing and deploying services in cloud environments (AWS, GCP, Azure) and working with containerization/orchestration (Docker, Kubernetes).
  • Build expertise in enterprise AI implementation across Fortune 500 companies and multiple industries
  • Top-up grants as we scale and you deliver exceptional performance - your compensation grows alongside your impact

Requirements

  • Technical foundation: 8+ years of experience in software engineering, AI/ML, data-intensive systems, AI/ML development (ideally including a Master's or Ph.D. in Computer Science, ML, Data Science, or a related field).
  • Communication: Ability to explain technical ideas clearly and work effectively with both technical and non-technical stakeholders.
  • Nice-to-have (but not required): experience with ML lifecycle tools (e.g., MLflow, Weights & Biases), familiarity with Cloud ML services, or past work building generative AI applications.
  • Familiarity with language systems (e.g., NLP, conversational interfaces, IR) and comfort reasoning about model behavior, context, and evaluation - both theoretical and practical knowledge.
  • Ability to explain technical ideas clearly and work effectively with both technical and non-technical stakeholders.
  • Candidates must be comfortable working with colleagues in different time zones (UK), and have valid travel documents without work authorization restrictions in the US.

Nice to have

  • 8+ years of experience in software engineering, AI/ML, data-intensive systems, AI/ML development (ideally including a Master's or Ph.D. in Computer Science, ML, Data Science, or a related field).
  • Experience with core data science tools such as NumPy, scikit-learn, Pandas, PySpark, plus SQL and common visualization tools (e.g., matplotlib, Seaborn, Plotly, or BI tools) to explore and communicate insights.
  • Ownership & Rapid Growth
  • Outsized missions from day one, with direct responsibility for company-defining projects
  • Work alongside the executive team with transparency into strategy and decision-making
  • Influence on direction through real-time customer feedback and market insights
  • AI-First Operator
  • Work directly with cutting-edge AI models and next-generation platforms

Skills

  • Eagerness to tackle unfamiliar problems, learn new technologies, and contribute to shaping our platform and culture.

Compensation

  • Competitive salary including base + bonuses

Benefits

  • Comprehensive health coverage (medical, dental, vision) from day one
  • Generous PTO, company-wide R&R shutdowns, and paid parental leave
  • Retirement plan support for US and global employees

Company info

  • we don't expect any one candidate to check every technical box, but we do look for engineers who are eager to learn, iterate rapidly, and contribute meaningfully across a range of challenges from model behavior to production systems.
  • Your work will directly impact how our platform performs in high-stakes enterprise deployments and how leaders around the world grow through AI-facilitated insights.
  • About Valence
  • Our mission is to transform how the world's biggest companies approach learning and development, helping teams work better together through AI-powered personalization that adapts to individual goals and organizational culture using the latest advances in machine learning and natural language processing.
  • 5000 fastest-growing private companies in America.
  • Our clients represent the most diverse and sophisticated enterprise AI implementations globally, including Coca-Cola, Delta, Nestlé, General Mills, Schneider Electric, Deutsche Telekom, AstraZeneca, Prudential, CVS and Bristol Myers Squibb.
  • Working at Valence means you'll work directly with Fortune 500 technology leaders, building expertise through the most complex enterprise deployments while gaining insight into diverse organizational approaches to AI transformation.
  • These aren't just any enterprise clients - they're the companies defining what AI-first business transformation looks like across every major industry.
  • intensity to win, growth without limits, and a team that solves hard problems and celebrates big wins together
  • Learn more about us and meet our team here
  • Location and Work Environment

Equal opportunity

  • We are dedicated to creating a diverse and inclusive environment where everyone feels valued and supported.
  • We encourage applications from candidates of all backgrounds and offer accommodations upon request throughout the hiring process.
  • If you have any questions, please reach out to Allison Langille, Head of People, at jobs@valence.co.
  • Employment Verification & Commitment

Visa & Work Authorization

  • Candidates must be comfortable working with colleagues in different time zones (UK), and have valid travel documents without work authorization restrictions in the US.
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