1

Summer Rag Jobs (NOW HIRING)

... RAG pipelines, and intelligent automation services -Build scalable and secure cloud-native AI ... You'll also be granted time off for designated ACA Paid Holidays, Summer Fridays, Personal/Family ...

AI Engineering Lead

Los Angeles, CA

$110K - $145K/yr

... RAG, and agentic workflows. * Expert-level hands-on experience building AI applications using ... Annual Summer Party * Invitations to pop-ups and other company events * Complimentary daily office ...

AI Engineering Lead

Los Angeles, CA · On-site

$225K - $250K/yr

... RAG, and agentic workflows. * Expert-level hands-on experience building AI applications using ... Annual Summer Party * Invitations to pop-ups and other company events * Complimentary daily office ...

Since launching last summer as a part of Y Combinator, we already have 20+ customers - ranging from ... Experience with AI (prompt engineering, RAG, fine-tuning, etc.) Our Engineering Culture Our ...

... this summer. The MLE team is responsible for developing, deploying, fine-tuning and optimizing ... Familiarity with LLM fine-tuning, retrieval-augmented generation (RAG), vector databases (FAISS ...

... this summer. The MLE team is responsible for developing, deploying, fine-tuning and optimizing ... Familiarity with LLM fine-tuning, retrieval-augmented generation (RAG), vector databases (FAISS ...

Bonus: AI/ML application experience (LLM integration, RAG, agent frameworks) The Opportunity ... Minimum 3 weeks PTO starting Day 1 * Winter Break, Summer Friday flex-days, and 10 paid holidays

next page

Showing results 1-20

Summer Rag information

See salary details

$8

$17

$32

How much do summer rag jobs pay per hour?

As of Jul 12, 2026, the average hourly pay for summer rag in the United States is $17.52, according to ZipRecruiter salary data. Most workers in this role earn between $12.50 and $20.91 per hour, depending on experience, location, and employer.

What is the difference between Summer Rag vs Summer Camp Counselor?

AspectSummer RagSummer Camp Counselor
Required CredentialsHigh school diploma or equivalent; some positions may require certifications in safety or first aidHigh school diploma; certifications in CPR and first aid often preferred
Work EnvironmentEvent setups, outdoor and indoor venues, temporary rolesSummer camps, outdoor settings, working with children
Employer & Industry UsageEvent planning companies, outdoor event organizersSummer camps, recreational organizations
Common Search & Comparison IntentUnderstanding roles in event setup vs camp activitiesComparing roles involving youth supervision and outdoor activities

While both roles involve outdoor work and seasonal employment, Summer Rag typically focuses on event setup and logistics, whereas Summer Camp Counselor involves supervising children and organizing camp activities. The credentials and work environments overlap somewhat, but their primary responsibilities and settings differ significantly.

More about Summer Rag jobs
What cities are hiring for Summer Rag jobs? Cities with the most Summer Rag job openings:
What are the most commonly searched types of Rag jobs? The most popular types of Rag jobs are:
What states have the most Summer Rag jobs? States with the most job openings for Summer Rag jobs include:
Machine Learning Engineer, Applied AI (Hybrid)

Machine Learning Engineer, Applied AI (Hybrid)

SimplePractice

Los Angeles, CA • On-site, Remote

Full-time

Medical, Dental, Vision

This job post has expired today. Applications are no longer accepted.


Job description

SimplePractice is headquartered in Los Angeles, California, but we have team members who work and live across the United States, Dominican Republic, Mexico City, and Ukraine.

At SimplePractice, we are improving access to quality care by equipping health and wellness clinicians with all the tools they need to thrive in private practice.

We are seeking a Machine Learning Engineer, Applied AI to build product features that help clinicians work efficiently and provide quality care. You’ll design experiments, build robust models, tune prompts, implement LLM evaluations, and move projects from idea to production alongside product, engineering, and DevOps teams.

Responsibilities
  • AI Prototyping and Development
    • Develop AI workflows, customize data pipelines, tune models, and engineer prompts to bring ideas to prototypes
    • Work with subject matter experts to set up evaluation for AI workflows, ensuring rigor, quality and safety of content output
    • Work with engineering partners to integrate AI workflows into production
    • Build and configure AI performance monitoring with proper reporting and alerts
    • Optimize and maintain AI workflows for performance, reliability, and long‑term scalability
  • Research
    • Start with the Job‑to‑be‑done, dive deep into the domain and understand the problem from a user perspective
    • Decompose problems into conquerable pieces; design solutions that address each with cross‑disciplinary thinking and a big‑picture focus
    • Conduct exploratory data analysis to answer key questions and test assumptions; design experiments and build prototypes for proof‑of‑concept
    • Build artifacts to illustrate findings with rigor and how they inform the roadmap and decisions
  • Cross‑Functional Collaboration
    • Provide AI expert advice to product and engineering partners in shaping the product roadmap
    • Partner closely with software engineering, product, data engineering, and ML platform teams to scope and plan in execution
    • Communicate timeline, milestones, findings with internal stakeholders
  • Mentor & Advocate Best Practices
    • Guide less experienced team members, sharing knowledge on LLM workflows and the AI/ML model lifecycle
    • Champion a culture of experimentation, continuous learning, and proactive problem‑solving
  • Drive Innovation
    • Stay current with emerging ML tools and technologies, integrating new techniques that elevate our product capabilities
    • Explore creative ways to leverage data so clinicians’ lives are easier, more efficient, and more effective
Desired Skills & Experience
  • BS or above in Computer Science, Statistics or a related technical field
  • 5+ years of experience in Machine Learning, with a proven track record of turning ideas into productized features
  • Strong proficiency in Python and advanced data analysis tools
  • Strong skills in data engineering and self‑sufficient data pipelines for AI workflows
  • Experience with AWS (or other cloud platforms) for model deployment
  • Comfortable designing and evaluating LLM‑driven workflows
  • Familiarity with retrieval pipelines and vector databases
  • Problem‑oriented mindset with cross‑disciplinary thinking and a bias toward simplicity and clarity
  • Comfort working with remote teams, using GitHub, Slack, Notion, and Zoom
  • Proficiency in English with strong communication and collaboration skills
Bonus Points
  • Experience with RAG architecture and context/state management for LLMs
  • Familiarity with LLM evaluation tools and human‑in‑the‑loop evaluation processes
  • Experience with Outerbounds or similar ML orchestration platforms
  • Experience with Argo Flows for CI/CD
  • Experience with prompt management tools like Langfuse
  • Familiarity with Kubernetes for container orchestration
  • Background in healthcare, clinical workflows, or regulated domains
Benefits
  • Privatized Medical, Dental & Vision Coverage
  • Work From Home stipend
  • Flexible Time Off (FTO), wellbeing days, paid holidays, and Summer Fridays
  • Monthly Meal Reimbursement
  • Holiday Bonus, 15‑day Aguinaldo
  • Hybrid Work Schedule & Catered Lunch
  • Relocation bonus for candidates joining from a different city
  • Employee Resource Groups (ERGs)

Base Compensation Range: $972,240 MXN – $1,215,300 MXN

#J-18808-Ljbffr