Manager, Software Engineering, CoreAI (HALO)

Team Overview:

LinkedIns Core AI organization is dedicated to  transforming the professional world through innovative solutions including advanced models agents and AI systems.

Our HALO Evaluation Engineering team builds core technology that powers LinkedIns model and agent evaluation ecosystem. This is a horizontal and deeply cross-functional team empowering product linguists and operations partners to evaluate new AI solutions quickly efficiently and at scale.

Were building a next-generation AI evaluation and optimization platform that makes AI systems measurable reliable and continuously improving in production. As AI systems become more autonomous and agentic evaluation cant rely on manual labeling and disconnected tools. Our team is creating a unified intelligence layer that connects human feedback AI judges synthetic data training pipelines and real-time monitoring into a closed-loop improvement engine defining how AI agents are validated shipped and improved at scale.

Team Scope & Future Work

• Golden Dataset Generation Tools Automate creation labeling quality control and versioning of high-quality evaluation datasets from specs and production data.

• LLM-as-a-Judge Infrastructure Build and align large model evaluators to reliably score outputs reasoning traces and agent behavior.

• Distilled In-House Evaluator Models Convert large judges into efficient internal models for scalable low-latency evaluation.

• Synthetic Data Generation Generate controlled edge-case and stress-test datasets to expand coverage and robustness.

• Observability for AI Agents Measure hallucinations tool-use accuracy reasoning quality and convergence in real time.

• End-to-End Agent Evaluation Framework Standardize offline benchmarking regression testing and production quality monitoring.

• Training Signal Pipeline (SFT & RLHF) Turn evaluation signals and datasets into structured training data for continuous model improvement.

Location:

At LinkedIn our approach to flexible work is centered on trust and optimized for culture connection clarity and the evolving needs of our business. The work location of this role is hybrid meaning it will be performed both from home and from a LinkedIn office on select days as determined by the business needs of the team.

This role will be based in Sunnyvale CA.

Responsibilities:

• Provide direct leadership for a team of 5-7 engineers.

• Work closely with various other teams across LinkedIn to align on initiatives leveraging existing solutions and ensure optimal collaboration.

• Participate in and facilitate technical and design discussions

• Contribute to the hands-on execution of technical solutions (coding design etc.). 

• Leverage best practices & processes to ensure productivity of the team and drive faster iterations

• Attract world class talent and provide technical guidance career development and mentoring to team members.

Qualifications :

Basic Qualifications:

• 5 years of related industry experience in software/platform design development and related solutions

• 1 year(s) of management experience or 1 year(s) of staff level engineering experience with management training

• BA/BS in Computer Science or other technical discipline or related practical technical experience

Preferred Qualifications:

• 2 years of experience as a Technical Lead (Staff or Manager) 

• 7 years of overall experience including prior work with AI operations or related solutions. 

• Experience building enterprise grade data platforms

• MS or PhD in Computer Science Machine Learning Statistics or related fields
   

Suggested Skills:

• Technical Leadership

• AI Infrastructure 

• Platform Engineering

You will Benefit from our Culture:

We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels.

Compensation:

LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $170000 - $277000. Actual compensation packages are based on a wide array of factors unique to each candidate including but not limited to skill set years & depth of experience certifications and specific office location. This may differ in other locations due to cost of labor considerations. The total compensation package for this position may also include annual performance bonus stock benefits and/or other applicable incentive compensation plans. For additional information visit: Information :

Equal Opportunity Statement 

We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race color religion creed gender national origin age disability veteran status marital status pregnancy sex gender expression or identity sexual orientation citizenship or any other legally protected class.

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• Documents in alternate formats or read aloud to you
• Having interviews in an accessible location
• Being accompanied by a service dog
• Having a sign language interpreter present for the interview

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Pursuant to the San Francisco Fair Chance Ordinance LinkedIn will consider for employment qualified applicants with arrest and conviction records.

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No

Employment Type :

Full-time