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, Electronics & Hardware, and Retail, with 38% remote or hybrid availability, and employers like Nuro, Apple, and GEICO hiring at this level now.
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Showing 5 of 15+ Mid Level AI ML Platform jobs
DESCRIPTION
In this role, you will own the strategy and roadmap for foundational platforms across Data, ML, and Measurement, enabling teams to rapidly build, experiment, and productionize machine learning solutions. Your mission is to enable ML builders to move from idea to production faster by removing bottlenecks across the ML lifecycle, from data ingestion and feature engineering to model training, deployment, and experimentation, so teams can iterate faster while providing robust measurement capabilities that shorten iteration cycles and consistently improve customer experiences.
You will operate in highly complex domains including recommendation systems, real-time inference, large-scale distributed training, LLM infrastructure, and partner closely with engineering and science leaders to influence architecture, drive adoption, and deliver measurable business outcomes.
Key job responsibilities
- Define and drive the multi-year vision and roadmap for ML platform and infrastructure supporting personalization, discovery, content intelligence, and emerging GenAI experiences
- Develop and own the data platform strategy, delivering clean, curated datasets that encode business logic and provide science teams with trusted, model-ready data foundations
- Build end-to-end ML tooling and pipelines that enable ML builders to discover datasets, ideate modeling approaches, conduct research and experimentation, and seamlessly productionize models from prototype to production
- Support large-scale model training, real-time inference, and compute optimization across CPU and GPU to ensure models perform efficiently at production scale
- Define and evolve the feature store strategy, supporting both online and offline data serving while minimizing online/offline skew to ensure consistency between training and serving environments
- Own the developer experience for ML builders by delivering self-service tools, reusable components, and standardized workflows that increase productivity, reduce operational overhead, and improve cost efficiency, scalability, and availability
- Enhance the measurement platform to monitor model performance in production, track input and output metric alignment, and ensure models deliver intended business outcomes
- Influence senior leadership and cross-functional stakeholders to align on platform strategy, investment priorities, and trade-offs
- Drive adoption of platform capabilities across teams by ensuring solutions are intuitive, reliable, and measurably better than existing workflows
About the team
Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports – including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads.
Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience.
As a Prime Video technologist, you’ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You’ll get to work on projects that are fast-paced, challenging, and varied. You’ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people.
We’ll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented technologists, you can decide where a career Prime Video Tech takes you!
BASIC QUALIFICATIONS
- 7+ years of end to end product delivery experience
- 4+ years of technical product or program management experience
- Bachelor's degree
- Experience with feature delivery and tradeoffs of a product
- Experience owning/driving roadmap strategy and definition
- Experience leading engineering discussions around technology decisions and strategy related to a product
- 3+ years of working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage experience
- Deep understanding of MLOps, model training, evaluation metrics and data pipelines.
PREFERRED QUALIFICATIONS
- Experience in project management methodologies, business analysis, or process improvement
- Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware
- Familiarity with recommendation systems is a bonus
- Fluency in technology alternatives with ability to weigh pros and cons of different technical approaches
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, NY, New York - 197,900.00 - 267,800.00 USD annually
USA, WA, SEATTLE - 179,900.00 - 243,400.00 USD annually
DESCRIPTION
In this role, you will own the strategy and roadmap for foundational platforms across Data, ML, and Measurement, enabling teams to rapidly build, experiment, and productionize machine learning solutions. Your mission is to enable ML builders to move from idea to production faster by removing bottlenecks across the ML lifecycle, from data ingestion and feature engineering to model training, deployment, and experimentation, so teams can iterate faster while providing robust measurement capabilities that shorten iteration cycles and consistently improve customer experiences.
You will operate in highly complex domains including recommendation systems, real-time inference, large-scale distributed training, LLM infrastructure, and partner closely with engineering and science leaders to influence architecture, drive adoption, and deliver measurable business outcomes.
Key job responsibilities
- Define and drive the multi-year vision and roadmap for ML platform and infrastructure supporting personalization, discovery, content intelligence, and emerging GenAI experiences
- Develop and own the data platform strategy, delivering clean, curated datasets that encode business logic and provide science teams with trusted, model-ready data foundations
- Build end-to-end ML tooling and pipelines that enable ML builders to discover datasets, ideate modeling approaches, conduct research and experimentation, and seamlessly productionize models from prototype to production
- Support large-scale model training, real-time inference, and compute optimization across CPU and GPU to ensure models perform efficiently at production scale
- Define and evolve the feature store strategy, supporting both online and offline data serving while minimizing online/offline skew to ensure consistency between training and serving environments
- Own the developer experience for ML builders by delivering self-service tools, reusable components, and standardized workflows that increase productivity, reduce operational overhead, and improve cost efficiency, scalability, and availability
- Enhance the measurement platform to monitor model performance in production, track input and output metric alignment, and ensure models deliver intended business outcomes
- Influence senior leadership and cross-functional stakeholders to align on platform strategy, investment priorities, and trade-offs
- Drive adoption of platform capabilities across teams by ensuring solutions are intuitive, reliable, and measurably better than existing workflows
About the team
Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports – including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads.
Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience.
As a Prime Video technologist, you’ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You’ll get to work on projects that are fast-paced, challenging, and varied. You’ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people.
We’ll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented technologists, you can decide where a career Prime Video Tech takes you!
BASIC QUALIFICATIONS
- 7+ years of end to end product delivery experience
- 4+ years of technical product or program management experience
- Bachelor's degree
- Experience with feature delivery and tradeoffs of a product
- Experience owning/driving roadmap strategy and definition
- Experience leading engineering discussions around technology decisions and strategy related to a product
- 3+ years of working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage experience
- Deep understanding of MLOps, model training, evaluation metrics and data pipelines.
PREFERRED QUALIFICATIONS
- Experience in project management methodologies, business analysis, or process improvement
- Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware
- Familiarity with recommendation systems is a bonus
- Fluency in technology alternatives with ability to weigh pros and cons of different technical approaches
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, NY, New York - 197,900.00 - 267,800.00 USD annually
USA, WA, SEATTLE - 179,900.00 - 243,400.00 USD annually
See All 15 Mid Level AI ML Platform Jobs
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Find Mid Level AI ML Platform JobsMid Level AI ML Platform Job Market
Who's Hiring
- Nuro2
- Apple2
- GEICO1
- Waymo1
- NVIDIA1
Top Industries Hiring
- Technology & Software8
- Electronics & Hardware3
- Retail1
- Fintech1
- Insurance1
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 July 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 38% of mid level ai ml platform openings are remote or hybrid as of July 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, Electronics & Hardware, and Retail, based on current listings on Migrate Mate as of July 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.