Sr Staff AI Software Development Engineer

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

Not verified checked Jun 7, 2026

Salary

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401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source

Seniority

Senior From the posting source

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

Sr Staff AI Software Development Engineer Cambridge, , United Kingdom Company Description: Job Description: Senior Staff AI Software Engineer About the Role: We are seeking an experienced technical leader who can drive our AI Recommender System engineering function. This individual should bring significant experience in AI agent systems embedded within software tools for making live, context-aware recommendations for documentation links and/or suggestions completing partial user entries. The successful candidate will take responsibility for the recommender panel and related functions within our cloud-based electronic system design (ESD) tools. They will build upon our existing small team, define processes, and set technical direction. What You'll Do Own the recommender AI engineering function : Define technical strategy, architecture, and roadmap based upon functional requirements set by product manager. Build and manage the team : Recruit, onboard, and develop AI engineers; establish team structure, processes, and best practices Establish engineering standards : Create workflows, code review processes, testing frameworks, and documentation practices for ML/AI systems Bridge the gap : Translate between ML engineering and business stakeholders; educate leadership on AI capabilities and limitations Hands-on technical leadership : Architect and build production ML systems while mentoring team members Qualifications: Required Qualifications 8-10 years in production-grade software systems, building and leveraging AI/ML components in related areas. with significant technical and people management experience PhD or Masters in AI/ML or adjacent field Proven ability to establish AI engineering practices in organizations without core AI/ML expertise Self-directed and autonomous : Comfortable operating with ambiguity and building structure from

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