Jobs 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 https://www.youtube.com/watch?v=VGYZ59n_x-c
- 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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