Machine Learning / AI Operations Engineer at Arcade

San Francisco, California, United States

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$120,000 – $180,000Compensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, SoftwareIndustries

Requirements

Strong understanding of the state of the art in machine learning, especially LLMs and tool-calling (e.g. MCP)
Comfortable with tuning libraries (HuggingFace Trainer, DeepSpeed, FSDP, QLoRA, etc)
Familiarity with model lifecycle management tools (MLflow, Weights & Biases, DVC, etc)
Experience with model optimization, quantization and deployment formats (ONNX, OpenVino, TensortRT, etc)
Experience with modern monitoring tools (Prometheus, Grafana, Datadog, ELK, Arize AI, etc.)
Production experience with at least one major agent framework (Langchain, LlamaIndex, OpenAI Agents SDK, Mastra, etc)
5+ years of software engineering experience comprising of:
3+ years experience working on a production level ML training or inference system
2+ years experience building and deploying ML models

Responsibilities

Build: Create bleeding-edge models fine-tuned for Arcade's agentic products
Deploy: Test and deploy our models and related application software, both on-prem and in our cloud
Monitor: Prevent model drift. Make the models and APIs better. Collect the data you need to do it
Build our stack: Use your experience to chose the right tools for the job, balancing speed, maintainability and cost
Shape the roadmap for the team
Share your work with our customers and community, building our (and your) brand

Skills

Key technologies and capabilities for this role

Machine LearningAIAgentic ToolsDistributed SystemsLangChainLlamaIndexAuthenticationIntegrations

Questions & Answers

Common questions about this position

Is this position remote or onsite?

This is an onsite position.

What are the main responsibilities of this role?

You will build bleeding-edge models fine-tuned for Arcade's agentic products, test and deploy models and software both on-prem and in the cloud, monitor to prevent model drift, improve models and APIs, collect necessary data, and build the stack using the right tools.

What skills and experience are required for this Machine Learning/AI Operations Engineer role?

Experience building and fine-tuning models for agentic AI products, deploying models on cloud and on-premise, monitoring model drift, improving models and APIs, data collection, and selecting tools for ML infrastructure is required.

What is the company culture like at Arcade?

Arcade has assembled a dream team of experts in authentication, integrations, distributed systems, and AI from top companies like Okta, Redis, Microsoft, and Google, who have built and founded successful developer platforms, fostering a high-caliber, innovative environment.

What makes a strong candidate for this role?

A strong candidate has hands-on experience building, deploying, and monitoring custom ML models for agentic AI, especially in cloud and on-premise environments, with expertise in preventing model drift and selecting optimal tools.

What is the salary or compensation for this position?

This information is not specified in the job description.

Arcade

Digital platform for interactive product demos

About Arcade

Arcade provides a platform for businesses to create interactive product demos that enhance storytelling. Users can easily record their screens using a Chrome extension and combine various media to craft engaging narratives. The platform's unique features include interactive elements and the ability to update demos as live assets, which saves time for businesses. Operating on a freemium model, Arcade also offers analytics to help users understand audience engagement.

San Francisco, CaliforniaHeadquarters

2021Year Founded

$20.9MTotal Funding

SERIES_ACompany Stage

Data & Analytics, Consumer SoftwareIndustries

51-200Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Unlimited Paid Time Off

401(k) Company Match

$500 a month remote work stipend

Biannual company retreats

Competitive salary and meaningful equity

Risks

Increased competition from startups may dilute Arcade's market share.

Rapid evolution of AI tools may outpace Arcade's current offerings.

Dependence on Chrome extensions poses risks if browser policies change.

Differentiation

Arcade offers a unique platform for creating interactive product demos.

The platform supports interactive features like pan, zoom, and callouts for enhanced engagement.

Arcade's demos are live assets, allowing continuous edits without starting from scratch.

Upsides

Arcade raised $14M Series A to advance AI content generation and growth.

Increased demand for interactive content boosts Arcade's market potential.

Growing trend of AI in content creation aligns with Arcade's focus on AI-driven demos.

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