{"id":1309274,"url":"https://alion.io/job/airapps-aiml-engineer-5","title":"AI/ML Engineer","company":{"id":3822995,"name":"Air Apps","domain":"airapps.co","url":"https://alion.io/company/airapps","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":91,"open_postings":424,"ghost_share":0.068,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":106,"computed_at":"2026-10-31T05:58:55Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":100000,"max":187000,"currency":"USD","period":"year","gross":null,"usd_annual":187000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Computer Vision","optional":false},{"name":"GCP","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2025-02-25T10:21:32Z","employer_posted_date":"2025-02-25","last_verified_at":"2026-10-31T13:47:52Z","board_verified":true,"closed_at":null,"days_open":613,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":612},"description":"About Air Apps\nAt 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.\nOur 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.\nJoin us on this journey to redefine resource management-and change lives along the way.\nThe Role\nAs 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.\nPlease 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.\nResponsibilities\nDevelop, train, and optimize machine learning models for various mobile app features.\n\nResearch and implement state-of-the-art AI techniques to improve user engagement and app performance.\n\nCollaborate with cross-functional teams to integrate AI-driven solutions into our applications.\n\nDesign and maintain scalable ML pipelines, ensuring efficient model deployment and monitoring.\n\nAnalyze large datasets to derive insights and drive data-driven decision-making.\n\nStay updated with the latest AI trends and best practices, incorporating them into our development processes.\n\nOptimize AI models for mobile environments to ensure high performance and low latency.\n\nRequirements\nAround 3+ years of experience in AI/ML development, preferably in mobile applications.\n\nProficiency in Python, TensorFlow, PyTorch, or other ML frameworks.\n\nExperience with deep learning, NLP, computer vision, and statistical modeling.\n\nFamiliarity with cloud-based ML services (AWS, Google Cloud, or Azure).\n\nStrong understanding of data structures, algorithms, and software engineering best practices.\n\nExperience in deploying and maintaining ML models in production.\n\nAbility to work collaboratively in a remote team environment.\n\nStrong problem-solving skills and a passion for innovation.\n\nWhat benefits do we offer?\nApple hardware ecosystem for work.\n\nAnnual Bonus.\n\nMedical Insurance (including vision & dental).\n\nDisability insurance - short and long-term.\n\n401k up to 4% contribution.\n\nAir Conference - an opportunity to meet the team, collaborate, and grow together.\n\nTransportation budget\n\nFree meals at the hub\n\nGym membership\n\nDiversity & Inclusion\nAt 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.\nApplication Disclaimer\nAt 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.\nImportant Notice\nAir 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.\nIf 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. 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