Mid Level AI ML Platform Jobs
Mid level ai ml platform jobs go to engineers ready to own platform components end to end, make architectural decisions with limited oversight, and uplift junior teammates. Roles are concentrated in Technology & Software, Insurance, and Electronics & Hardware, with 20% remote or hybrid availability, and employers like Nuro, Apple, and GEICO hiring at this level now.
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SUMMARY
Join the Apple Service Engineering (ASE) team and drive innovation that matters! The ASE team builds and provides systems and infrastructure that fuel Apple’s services. As part of this team, you will be responsible for building and integrating technologies that enhance people’s lives. We are also tasked with enabling Apple Intelligence and Private Cloud Compute in the cloud. We’re looking for a senior engineer who can help integrate Large Language Models into our software ecosystem.
DESCRIPTION
This role is for a Platform Engineer specializing in Apple Intelligence and Private Cloud Compute. Your responsibilities will include architecting, designing, and delivering the systems and platform components that integrate Large Language Models (LLMs) and other AI models into Apple's products. This role establishes the foundation that enables teams to safely and effectively deploy ML-powered features. You will ensure the systems surrounding the models are robust, scalable, and easy for others to build on, becoming a key partner in the organization's delivery of AI-driven experiences. The ideal candidate is a systems thinker who can navigate fast moving requirements while maintaining a long-term vision for resilient and scalable solution.
MINIMUM QUALIFICATIONS
- 5+ years of software engineering experience in building and operating production systems.
- Strong background in distributed systems and an ability to reason about scale, concurrency, and failure modes.
- Proven experience designing and implementing internal tools, automation, and service-level components.
- Ability to collaborate closely across teams and influence decisions through clarity, empathy, and technical depth.
- A holistic mindset—seeing beyond individual components to understand and communicate system-level trade-offs.
- Comfortable working in dynamic, fast-changing environments where you help create structure, not wait for it.
- Proficient in scripting and programming languages such as C/C++, Python, SQL, Shell.
- Bachelor’s degree in Computer Engineering, Electrical Engineering, Computer Science or related field.
PREFERRED QUALIFICATIONS
- Understanding and practical experience with containerization technologies (Docker) and orchestration platforms (Kubernetes).
- Solid background in one or more major cloud providers (AWS, GCP, Azure), including familiarity with compute, storage, networking, and security services relevant to ML workloads.
COMPENSATION
- Base pay range for this role is between $175,000 and $308,500, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.
At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.
Apple accepts applications to this posting on an ongoing basis.
SUMMARY
Join the Apple Service Engineering (ASE) team and drive innovation that matters! The ASE team builds and provides systems and infrastructure that fuel Apple’s services. As part of this team, you will be responsible for building and integrating technologies that enhance people’s lives. We are also tasked with enabling Apple Intelligence and Private Cloud Compute in the cloud. We’re looking for a senior engineer who can help integrate Large Language Models into our software ecosystem.
DESCRIPTION
This role is for a Platform Engineer specializing in Apple Intelligence and Private Cloud Compute. Your responsibilities will include architecting, designing, and delivering the systems and platform components that integrate Large Language Models (LLMs) and other AI models into Apple's products. This role establishes the foundation that enables teams to safely and effectively deploy ML-powered features. You will ensure the systems surrounding the models are robust, scalable, and easy for others to build on, becoming a key partner in the organization's delivery of AI-driven experiences. The ideal candidate is a systems thinker who can navigate fast moving requirements while maintaining a long-term vision for resilient and scalable solution.
MINIMUM QUALIFICATIONS
- 5+ years of software engineering experience in building and operating production systems.
- Strong background in distributed systems and an ability to reason about scale, concurrency, and failure modes.
- Proven experience designing and implementing internal tools, automation, and service-level components.
- Ability to collaborate closely across teams and influence decisions through clarity, empathy, and technical depth.
- A holistic mindset—seeing beyond individual components to understand and communicate system-level trade-offs.
- Comfortable working in dynamic, fast-changing environments where you help create structure, not wait for it.
- Proficient in scripting and programming languages such as C/C++, Python, SQL, Shell.
- Bachelor’s degree in Computer Engineering, Electrical Engineering, Computer Science or related field.
PREFERRED QUALIFICATIONS
- Understanding and practical experience with containerization technologies (Docker) and orchestration platforms (Kubernetes).
- Solid background in one or more major cloud providers (AWS, GCP, Azure), including familiarity with compute, storage, networking, and security services relevant to ML workloads.
COMPENSATION
- Base pay range for this role is between $175,000 and $308,500, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.
At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.
Apple accepts applications to this posting on an ongoing basis.
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Mid Level AI ML Platform Jobs: Frequently Asked Questions
How do I get a mid level ai ml platform job?
Position yourself around ownership and impact: highlight projects where you drove a platform feature or infrastructure component from design through deployment without heavy oversight. Emphasize hands-on experience with ML orchestration tools, model serving infrastructure, or feature store design. Concrete outcomes, such as latency improvements or reliability gains your work delivered, carry more weight than a list of technologies at this level.
Which companies hire mid level ai ml platforms?
Companies hiring mid level ai ml platforms right now include Nuro, Apple, and GEICO, based on current listings on Migrate Mate as of November 2026. Hiring at this level comes from a mix of enterprise technology firms building internal ML infrastructure, high-growth startups scaling their model pipelines, and data-intensive industries investing in production AI systems.
Are there remote mid level ai ml platform jobs?
Yes, remote and hybrid options are widely available at this level. About 20% of mid level ai ml platform openings are remote or hybrid as of November 2026, reflecting the distributed nature of engineering teams in this space. On-site roles tend to concentrate at companies with hardware-adjacent infrastructure or early-stage teams that prioritize in-person collaboration.
How do I move up to a mid level ai ml platform role?
Growth into mid level comes from deepening ownership over time: moving beyond task execution to driving decisions on platform design, reliability, or tooling. Build experience running ML workflows end to end, contributing to production systems under real constraints, and demonstrating that your work improved measurable outcomes. Taking on scoping and mentoring responsibilities in your current role signals readiness for the next level.
Which industries hire the most mid level ai ml platforms?
Mid Level ai ml platform roles concentrate in Technology & Software, Insurance, and Electronics & Hardware, based on current listings on Migrate Mate as of November 2026. These sectors share a common driver: they operate at a scale where managing model lifecycle, data pipelines, and serving infrastructure requires dedicated platform engineering rather than ad hoc tooling.