On-site opportunity at
InMobiAI Engineer
InMobi is a global technology company that focuses on advertising and agentic commerce through platforms like InMobi Advertising and Glance. The organization operates on-site out of…
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About This Role
InMobi is a global technology company that focuses on advertising and agentic commerce through platforms like InMobi Advertising and Glance. The organization operates on-site out of its San Mateo, California office and is looking for an AI Engineer to join its team. In this position, the professional will design agent harnesses, fine-tune diffusion models and large language models, build evaluations, and optimize systems with and without training. The work involves…
Job Description
InMobi is a global technology company that focuses on advertising and agentic commerce through platforms like InMobi Advertising and Glance. The organization operates on-site out of its San Mateo, California office and is looking for an AI Engineer to join its team.
In this position, the professional will design agent harnesses, fine-tune diffusion models and large language models, build evaluations, and optimize systems with and without training. The work involves creating automated creative generation systems, developing machine learning research agents, converting real-world performance metrics into training data, and collaborating closely with Applied Scientists, Product teams, and Engineering staff to push prototypes into production environments.
This role suits individuals who enjoy taking full project ownership from conceptualization to production release, contributing to open-source tools, and solving complex engineering challenges within generative artificial intelligence.
Responsibilities
- Build autonomous creative generation systems that adapt based on live campaign performance
- Develop machine learning research agents to accelerate research for Applied Scientists
- Transform creative performance and developer feedback into training data for continuous system improvement
- Own projects end-to-end from problem framing and metric definition to production shipping and iteration
- Define evaluation criteria and build measurement and annotation processes for complex systems
- Contribute to open-source tools and frameworks used in the generative AI space
- Partner across teams with Product, Engineering, and Applied Scientists to transition prototypes into production
Requirements
- Minimum of two years of production experience building generative AI systems
- Familiarity with diffusion model and large language model architectures
- Expertise in constructing agents and agent harnesses
- Demonstrated track record of designing evaluations from scratch, writing labeling guidelines, and collaborating with annotators
- Practical experience fine-tuning diffusion models or large language models using reinforcement learning techniques or preference optimization methods
- Experience developing knowledge retrieval systems utilizing knowledge-graphs and approximate nearest neighbor methods
- Experience utilizing no-train optimization techniques and frameworks such as DSPy
- Proficiency in Python programming
Qualifications
- Bachelor or Master degree in Machine Learning, Computer Science, or a related field, or equivalent practical experience
- Familiarity with the advertising ecosystem including OpenRTB, demand-side platforms, supply-side platforms, ad exchanges, and mobile measurement partners
- Prior contributions to open-source generative AI projects like LLaMA-Factory, verl, opencode, or OpenResearch
- Public portfolio of work involving reinforcement learning, agents, large language models, or diffusion models through talks, publications, or written materials
- Background in large-scale GPU training and serving, including inference optimization and distributed training
- Experience creating coding agents or developer tools capable of writing, reviewing, or deploying code
Core Skills
Benefits
- Competitive base salary ranging from USD 178,500 to 222,000 per year
- Eligibility for equity in the form of employee stock option plans
- Comprehensive medical, dental, and vision insurance alongside a company-matched health savings account
- Company match for 401(k) contributions
- Paid time off including vacation days, sick leave, special occasion time, and company-wide holidays
- Maternity and paternity leave benefits
- Flexible working hours
- Wellness stipend
- Daily free lunch provided in the office
- Pet-friendly work environment with a robust pet insurance policy
- Employee Assistance Program
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Where is this AI Engineer position located?
The role is based on-site at the InMobi office located in San Mateo, California.
What is the salary range for this job?
The base salary ranges from USD 178,500 to 222,000 per year, and eligible employees may also receive employee stock options.
What experience is required for this role?
Applicants must have at least two years of experience building generative AI systems in production, expertise in Python, experience with agent harnesses, and hands-on fine-tuning experience with LLMs or diffusion models.
What education qualifications are needed?
A Bachelor or Master degree in Computer Science, Machine Learning, or a related field is required, or equivalent practical experience.
Sample Interview Questions
AI-generated questions tailored to this specific role — a preview of the full practice set.