Eragon
Member of Technical Staff
San Francisco
Get past the screening software and onto a recruiter's desk
hirly rewrites your resume for this job — matching the keywords and skills in the posting, moving your most relevant experience to the top, and writing a cover letter to fit. About 30 seconds.
- Keywords matched to this posting
- Fit score before you apply
- Cover letter included
Matched against 2.4M live jobs from 200,000+ employers in 200+ countries.
Tailor my resume for this job →Apply from your AI assistant
Connect hirly to Claude and ask it to apply to this job. hirly tailors your resume, fills the employer’s form and asks before sending. ChatGPT: manual setup today.
Some employer sites stop an application at a CAPTCHA or sign-in and hand it back with a link. Applying needs a paid plan. Works with any assistant that supports MCP.
hirly's read of this role
- Seniority
- Lead / management
- Stated salary
- $180,000 – $230,000 per year
- Country
- US
- Work mode
- On-site / unstated
- First seen by hirly
- 28 Sept 2026
Derived automatically from the posting. Upload your resume above to see how the role scores against it.
the posting
Job Description
We’re looking for a Member of Technical Staff to build and deploy production-grade AI systems. In this role, you’ll work across modeling, systems, and product to take ideas from concept to real-world applications.
Key Responsibilities
System Development & Deployment: Build, integrate, and deploy AI-powered systems into production environments
Model Development: Fine-tune, evaluate, and work with machine learning models in real-world applications
Systems Engineering: Design scalable pipelines for training, inference, and data processing
Performance Optimization: Improve latency, throughput, cost efficiency, and reliability of systems
Data & Infrastructure: Work with large-scale datasets and integrate systems with internal tools and APIs
Cross-Functional Collaboration: Partner with product, research, and design to ship end-to-end features
Evaluation & Monitoring: Implement evaluation frameworks, observability, and feedback loops
Minimum Qualifications
Education: Bachelor’s or Master’s in Computer Science, Engineering, or related field
Technical Skills: Strong proficiency in Python and modern engineering or ML frameworks
Production Experience: Experience building and deploying systems in production environments
Systems Knowledge: Familiarity with data pipelines, APIs, and cloud infrastructure (AWS, GCP)
Practical ML Experience: Experience working with machine learning models or data-driven systems
Nice to Have
Experience deploying or scaling ML systems in production
Familiarity with LLMs, agents, or workflow automation systems
Experience with distributed systems or large-scale infrastructure
Background in fast-paced or early-stage environments
Similar jobs
- Sr. Member Technical Staff - ESD and Latch-Up - HBMMicron · Folsom, CAFirst seen 6d ago
- Member Technical StaffPirros · Los Angeles OfficeFirst seen 31d ago
- Member Technical Staff - Applied AI Engineer (US Timing) Composio · BangaloreFirst seen 25d ago
- Member TechnicalBroadridge · Bengaluru-EPIP Industrial AreaFirst seen 8d ago
- Senior Member TechnicalBroadridge · Hyderabad-Hi-Tec CityFirst seen 10d ago
Browse similar roles
Want this one?
Upload your resume and hirly rewrites it for this job and writes the cover letter — in about thirty seconds, before you sign up.
Tailor my resume for this job