Senior MLOps Engineer - Production at Luma AI

Palo Alto, California, United States

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$220,000 – $280,000Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, TechnologyIndustries

Requirements

Strong generalist Python skills
Experience with queues, scheduling, traffic-control, fleet management at scale
Extensive experience with Kubernetes and Docker
Must have: Python, Kubernetes, Redis, S3-compatible Storage

Responsibilities

Ship new model architectures by integrating them into our inference engine
Empower our product team to create groundbreaking features by developing user-friendly APIs and interaction patterns
Build sophisticated scheduling systems to optimally leverage our expensive GPU resources while meeting internal SLOs
Build and maintain CI/CD pipelines for processing/optimizing model checkpoints, platform components, and SDKs for internal teams to integrate into our products/internal tooling

Skills

Key technologies and capabilities for this role

PythonKubernetesDockerRedisS3PyTorchCUDAffmpeg

Questions & Answers

Common questions about this position

What is the salary range for the Senior MLOps Engineer position?

The salary range is $220K - $280K.

Is this role remote or hybrid?

The position is hybrid.

What are the key required skills for this role?

Strong generalist Python skills, experience with queues, scheduling, traffic-control, fleet management at scale, and extensive experience with Kubernetes and Docker are required. The tech stack must-haves include Python, Kubernetes, Redis, and S3-compatible Storage.

What is the company culture or mission at Luma AI?

Luma’s mission is to build multimodal AI to expand human imagination and capabilities, believing that multimodality is critical for intelligence with a focus on vision beyond language models.

What experience stands out for a strong candidate?

Candidates with experience in high performance large scale ML systems (>100 GPUs), Pytorch, ffmpeg, and multimedia processing will receive bonus points, in addition to the required skills.

Luma AI

Develops multimodal AI technologies for creativity

About Luma AI

Luma AI develops multimodal artificial intelligence technologies that enhance human creativity and capabilities. Their main product, the Dream Machine, allows users to interact with various types of data, enabling creative professionals, businesses, and developers to explore innovative applications of AI. Unlike many competitors, Luma AI focuses on integrating multiple modes of interaction, which broadens the possibilities for users. The company operates on a subscription model, providing access to its AI tools and services, and aims to lead the way in AI-driven creativity and productivity.

San Francisco, CaliforniaHeadquarters

2021Year Founded

$84.9MTotal Funding

LATE_VCCompany Stage

Consumer Software, AI & Machine LearningIndustries

51-200Employees

Benefits

Company Equity

Stock Options

Risks

Competition from Google's Veo 2 and OpenAI's Sora Turbo challenges Luma AI's market position.

AWS's cost-reducing features may make Luma AI's services less competitive.

AI-generated content controversies could harm Luma AI's reputation if outputs are misleading.

Differentiation

Luma AI transforms text into 3D models, enhancing user interaction with digital content.

The Dream Machine integrates multimodal AI, offering a unique creative platform for users.

Luma AI's Photon models provide high-quality, personalized image generation capabilities.

Upsides

Luma AI's $90 million funding boosts its capacity for innovation and market expansion.

Dream Machine 1.5's advanced text-to-video features attract creative professionals and businesses.

Expanding Dream Machine into a mobile app increases accessibility and user engagement.

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