Valence · 2 hours ago
Applied AI Engineer
New York, NY
Full-time
Hybrid
Mid Level
3+ years expValence is pioneering an AI native coaching platform for enterprises, focusing on innovative solutions for leadership and employee development. As an Applied AI Engineer, you will work at the intersection of generative AI research and product execution, helping to design and build intelligent systems for personalized coaching experiences.
Artificial Intelligence (AI)Generative AIInformation TechnologySaaS
No H1B
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
Rapidly prototype and iterate on systems that span backend services, data pipelines, and frontend interactions as needed
Build tooling, tests, and automation to support reliable model deployment, observability, and continuous improvement
Help streamline data and science workflows, enabling fast experimentation and data-driven decisions
We recognize that not every candidate will have experience in every area above - we value growth potential, curiosity, and the ability to learn on the job
Qualification
Required
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) to explore and communicate insights
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
Preferred
Experience with ML lifecycle tools (e.g., MLflow, Weights & Biases)
Familiarity with Cloud ML services
Past work building generative AI applications
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
Meaningful ownership in a venture-backed company at a growth inflection point
Top-up grants as we scale and you deliver exceptional performance — your compensation grows alongside your impact
Company
Valence
Valence provides an AI coach for employee development and organizational performance.
51-200 employees
Funding
Current Stage
Growth StageTotal Funding
$75.09MKey Investors
Bessemer Venture PartnersM3 LendingInsight Partners
2025-09-25Series B· $50M
2025-08-12Corporate Round· $0.09M
2022-05-03Series A· $25M
Leadership Team
Parker Mitchell
Co-Founder and CEO
Recent News
Crunchbase News
2025-11-24
alleywatch.com
2025-10-07
Company data provided by crunchbase