Applied AI Engineer
Location
United States + 1 moreAll locations: United States, Canada
Posted
51 days ago
Salary
Not specified
Job Description
Role Description
As a founding Applied AI Engineer at Valence, you will help define and build the future of AI-powered leadership coaching, working directly with our Head of AI and cross-functional product and engineering teams. You’ll be at the intersection of generative AI research and product execution, helping design, build, and refine intelligent systems that deliver context-aware, personalized coaching at enterprise scale. This role is purposefully broad and adaptable: 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.
- Tackle real-world AI problems:
- Transform enterprise data into actionable context
- Optimize conversational experiences
- Shape how AI engages with users in meaningful and responsible ways
- 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.
Qualifications
- 3+ 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)
- Familiarity with language systems (e.g., NLP, conversational interfaces, IR) and comfort reasoning about model behavior, context, and evaluation - both theoretical and practical knowledge
- 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)
- Comfortable developing and deploying services in cloud environments (AWS, GCP, Azure) and working with containerization/orchestration (Docker, Kubernetes)
- Strong software engineering skills, including writing maintainable code, debugging distributed systems, and collaborating in cross-functional teams
- Eagerness to tackle unfamiliar problems, learn new technologies, and contribute to shaping our platform and culture
- Ability to explain technical ideas clearly and work effectively with both technical and non-technical stakeholders
Requirements
- Experience with ML lifecycle tools (e.g., MLflow, Weights & Biases)
- Familiarity with Cloud ML services
- Past work building generative AI applications
Benefits
- 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
- Build expertise in enterprise AI implementation across Fortune 500 companies and multiple industries
- Establish yourself as a recognized leader among peers in shaping how AI transforms work at a global scale
- Compensation
- Competitive salary including base + bonuses
- 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
- Equity
- Meaningful ownership in a venture-backed company at a growth inflection point
- Financial upside that comes from scaling fast
- Top-up grants as we scale and you deliver exceptional performance — your compensation grows alongside your impact
- Top-Performing Culture
- A culture built for top talent: intensity to win, growth without limits, and a team that solves hard problems and celebrates big wins together
Location and Work Environment
- If candidates are based in NYC or Toronto they can work hybrid in our offices, otherwise this role can be remote.
- Candidates must be comfortable working with colleagues in different time zones (UK), and have valid travel documents without work authorization restrictions in the US.
Diversity and Inclusion
- 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.
Employment Verification & Commitment
- We use third-party services to verify employment history, education, and other information relevant to your candidacy.
- Employment is contingent upon the successful completion of these verification checks.
- This is a full-time role that requires a high level of focus, availability, and commitment.
- Employees may not hold concurrent full-time employment with another organization while employed at Valence.
- Any outside consulting, advisory, freelance, or other professional work must be disclosed and approved in advance and must not interfere with job responsibilities, availability, performance, or create a conflict of interest.
Job Requirements
- 3+ 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)
- Familiarity with language systems (e.g., NLP, conversational interfaces, IR) and comfort reasoning about model behavior, context, and evaluation - both theoretical and practical knowledge
- 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)
- Comfortable developing and deploying services in cloud environments (AWS, GCP, Azure) and working with containerization/orchestration (Docker, Kubernetes)
- Strong software engineering skills, including writing maintainable code, debugging distributed systems, and collaborating in cross-functional teams
- Eagerness to tackle unfamiliar problems, learn new technologies, and contribute to shaping our platform and culture
- Ability to explain technical ideas clearly and work effectively with both technical and non-technical stakeholders
- Experience with ML lifecycle tools (e.g., MLflow, Weights & Biases)
- Familiarity with Cloud ML services
- Past work building generative AI applications
Benefits
- 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
- Build expertise in enterprise AI implementation across Fortune 500 companies and multiple industries
- Establish yourself as a recognized leader among peers in shaping how AI transforms work at a global scale
- Compensation
- Competitive salary including base + bonuses
- 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
- Equity
- Meaningful ownership in a venture-backed company at a growth inflection point
- Financial upside that comes from scaling fast
- Top-up grants as we scale and you deliver exceptional performance — your compensation grows alongside your impact
- Top-Performing Culture
- A culture built for top talent: intensity to win, growth without limits, and a team that solves hard problems and celebrates big wins together
- Location and Work Environment
- If candidates are based in NYC or Toronto they can work hybrid in our offices, otherwise this role can be remote.
- Candidates must be comfortable working with colleagues in different time zones (UK), and have valid travel documents without work authorization restrictions in the US.
- Diversity and Inclusion
- 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.
- Employment Verification & Commitment
- We use third-party services to verify employment history, education, and other information relevant to your candidacy.
- Employment is contingent upon the successful completion of these verification checks.
- This is a full-time role that requires a high level of focus, availability, and commitment.
- Employees may not hold concurrent full-time employment with another organization while employed at Valence.
- Any outside consulting, advisory, freelance, or other professional work must be disclosed and approved in advance and must not interfere with job responsibilities, availability, performance, or create a conflict of interest.
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