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About the role
Key responsibilities & impact- Own and evolve the ML development engine
- Own the data feedback loop
- Define and scale data systems and operations
- Support compute planning and solutioning
- Partner with researchers to translate goals into executable plans
- Contribute to opportunity research
- Improve model performance tracking and evaluation visibility
- Coordinate across teams to align priorities
Requirements
What you’ll need- Experience working in ML, data, or research-adjacent environments
- Familiarity with machine learning pipelines
- Experience managing or working closely with data labelling / annotation operations at scale
- Proven ability to lead complex technical programmes across multiple stakeholders
- Strong systems thinking
- Comfortable working across ambiguity
- Experience building or improving repeatable processes and operational frameworks
- High agency
- Strong communicator
- Curious and pragmatic
Benefits
Comp & perks- Competitive salary + ESOP
- Fully flexible working arrangements
- Annual company-wide offsite
- Highly meritocratic, non-bureaucratic, and no-ego work culture
- Significant career development and growth opportunities
- Opportunity to work on complex products and real-world problems
- Opportunity to play a critical role in a high growth company
- Neara values diversity, belonging, and equal employment opportunities.
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningdata systemsdata feedback loopmodel performance trackingdata labellingannotation operationstechnical programmesoperational frameworksprocess improvementcompute planning
Soft Skills
systems thinkingcommunicationcuriositypragmatismleadershipcollaborationadaptabilityproblem-solvingstakeholder managementhigh agency
