AIML Sr. Machine Learning Platform Engineer, MLPT
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Job Location:
Seattle, OR - USA
Monthly Salary:
Not Disclosed
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
In this role youll build and scale core platform capabilities for model management and serving infrastructure while creating seamless integrations with the ML frameworks that Apples teams depend on. Youll design and build systems that feel native to each framework while providing a unified experience across the work will include building backend services designing Python SDKs and APIs creating integrations across ML tools and frameworks and solving complex technical challenges that span multiple systems. Youll work closely with ML engineers to understand their workflows identify pain points and build platform features that multiply their collaborate with teams building customer-facing ML features across iOS macOS and other Apple platforms as well as compute infrastructure teams and ML framework owners. Your platform work directly enables the ML innovations that millions of customers experience daily. This role offers the opportunity to have broad impact across Apples ML initiatives and to shape how thousands of ML practitioners build the intelligent experiences our customers love.
- Bachelors degree in Computer Science related field or equivalent practical experience.
- 10 years of software engineering experience with strong backend development skills and platform engineering mindset
- Deep proficiency in Python with proven experience designing SDKs libraries and APIs for technical users
- Experience integrating with complex ML frameworks (PyTorch TensorFlow JAX HuggingFace) and building production-grade backend services (REST/GraphQL APIs microservices databases)
- Track record of building end-to-end workflows that span multiple systems and teams navigating complex technical landscapes to deliver pragmatic solutions
- Strong cross-functional collaboration and communication skills to understand diverse stakeholder needs technical requirements and articulate design decisions across ML engineering infrastructure and product teams
- Experience with cloud platforms (AWS GCP Azure) and container orchestration (Kubernetes)
- Experience with model serving systems (vLLM Ray Serve TorchServe TensorRT) or inference optimization
- Contributions to open-source ML frameworks tools or libraries
- Understanding of distributed training model parallelism and large-scale ML workflows
- Familiarity with MLOps practices model management and experiment tracking systems
Required Experience:
Senior IC
Key Skills
- Industrial Maintenance
- Machining
- Mechanical Knowledge
- CNC
- Precision Measuring Instruments
- Schematics
- Maintenance
- Hydraulics
- Plastics Injection Molding
- Programmable Logic Controllers
- Manufacturing
- Troubleshooting
About Company
Ask Siri to name the most successful company in the world and it might respond: Apple. And it's not just out of familial pride. Apple consistently ranks highly in profit, revenue, market capitalization, and consumer cachet. In 2018, the company became the first reach a trillion dollar ... View more
