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AI/ML Engineer

Air Apps

Company websiteairapps.co (Air Apps, opens in new tab)

Base salary $100K  to $187K

Employer-published annual base salary, USD. Advertised base range in San Francisco, CA

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  • LocationSan Francisco, CA
  • WorkplaceOn-site
  • Status at last checkSource accepting applications when checked
  • Last checked (12 min ago) · observed since

About this job

About Air Apps

At Air Apps, we believe in thinking bigger—and moving faster. We’re a family-founded company on a mission to create the world’s first AI-powered Personal & Entrepreneurial Resource Planner (PRP), and we need your passion and ambition to help us change how people plan, work, and live. Born in Lisbon, Portugal in 2018—and now with offices in both Lisbon and San Francisco—we’ve remained self-funded while reaching over 100 million downloads worldwide.

Our long-term focus drives us to challenge the status quo every day, pushing the boundaries of AI-driven solutions that truly make a difference. Here, you’ll be a creative force, shaping products that empower people across the globe.

Join us on this journey to redefine resource management—and change lives along the way.

The Role

As an AI/ML Engineer, you will play a crucial role in designing, developing, and optimizing machine learning models to power our mobile applications. You will work closely with product managers, engineers, and designers to create intelligent, data-driven features that enhance user experiences. Your expertise in artificial intelligence and deep learning will help us innovate and stay ahead in the mobile app industry.

Please note that this post serves the purpose of enhancing our talent pool while we prepare to launch the official job. As soon as it gets posted we will get in touch with you.

Responsibilities

  • Develop, train, and optimize machine learning models for various mobile app features.

  • Research and implement state-of-the-art AI techniques to improve user engagement and app performance.

  • Collaborate with cross-functional teams to integrate AI-driven solutions into our applications.

  • Design and maintain scalable ML pipelines, ensuring efficient model deployment and monitoring.

  • Analyze large datasets to derive insights and drive data-driven decision-making.

  • Stay updated with the latest AI trends and best practices, incorporating them into our development processes.

  • Optimize AI models for mobile environments to ensure high performance and low latency.

Requirements

  • Around 3+ years of experience in AI/ML development, preferably in mobile applications.

  • Proficiency in Python, TensorFlow, PyTorch, or other ML frameworks.

  • Experience with deep learning, NLP, computer vision, and statistical modeling.

  • Familiarity with cloud-based ML services (AWS, Google Cloud, or Azure).

  • Strong understanding of data structures, algorithms, and software engineering best practices.

  • Experience in deploying and maintaining ML models in production.

  • Ability to work collaboratively in a remote team environment.

  • Strong problem-solving skills and a passion for innovation.

What benefits do we offer?

  • Apple hardware ecosystem for work.

  • Annual Bonus.

  • Medical Insurance (including vision & dental).

  • Disability insurance - short and long-term.

  • 401k up to 4% contribution.

  • Air Conference – an opportunity to meet the team, collaborate, and grow together.

  • Transportation budget

  • Free meals at the hub

  • Gym membership

Diversity & Inclusion

At Air Apps, we are committed to fostering a diverse, inclusive, and equitable workplace. We enthusiastically welcome applicants from all backgrounds, experiences, and perspectives. We celebrate diversity in all its forms and believe that varied voices and experiences make us stronger.

Application Disclaimer

At Air Apps, we value transparency and integrity in our hiring process. Applicants must submit their own work without any AI-generated assistance. Any use of AI in application materials, assessments, or interviews will result in disqualification.

Important Notice

Air Apps does not partner with nor is represented by any recruiting agencies, staffing firms, or third-party recruiters in connection with our hiring efforts. All legitimate communication regarding Air Apps opportunities will come exclusively from an official @airapps.com email address. Additionally, all open positions are published only through our official careers platform, Ashby.
If you are contacted by anyone claiming to represent Air Apps from a different email domain, through a recruiting agency, or via a job posting source other than Ashby, please exercise caution. We do not accept unsolicited candidate submissions from agencies, and any such submissions will not be considered.

Source: Air Apps on Ashby · View original posting (opens in new tab)

This range next to 6 other live Air Apps roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live Air Apps roles with the nearest advertised base floor
RolePublished base
AI/ML Engineer (this listing)$100K - $187K
Product Designer$100K - $125K
Financial Controller$100K - $130K
Framer Website Designer$100K - $125K
Data Analyst$104K - $184K
DevOps Engineer Backend$109K - $194K
DevOps Engineer Mobile$109K - $194K

Same $100K to $400K scale as every card. All Air Apps roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. Began meeting the published-salary criteria
Observed since
Employer-stated posting date
2025-02-25
Where this pay comes from

Location as the employer wrote it: San Francisco

USD 100,000 – 187,000 · 1 YEAR · Salary

Method
Structured pay field published by the employer
Checked
Rule set
us-base-v2

The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.