Applied AI Engineer

AI EngineerMachine Learning EngineerFull TimeRemoteSince 2017Company Site

Location

United States + 1 moreAll locations: United States, Canada

Posted

51 days ago

Salary

Not specified

PythonNum PyPandasPy SparkScikit LearnSQLDockerKubernetesAWSMlflowWeights & BiasesNLPConversational AIGitCi/cdData VisualizationMachine LearningDeep LearningMatplotlibSeabornPlotly

Job Description

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more.

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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