Member of Technical Staff
Cephas Consultancy Services Private Limited
United States, California, San Francisco
Headcount: 7
Job Details
- Experience: 2–6 years
- Salary: Not specified
- Equity: Competitive equity
- Visa sponsorship: H-1B, O-1, OPT
- Employment type: Full-time
- Work type: In person
Benefits & Perks
- Health insurance
- 401(k)
- Free gym membership
About This Role
We are looking for Members of Technical Staff who can work across modeling, systems, and product, taking ideas from concept to production without a provided roadmap. You will report directly to Josh, the founder and CEO, and work alongside a small, intense team in San Francisco.
The work is among the most challenging and interesting in AI right now. The culture is beyond 996, and Josh lives above the office. If that excites you rather than concerns you, keep reading.
Key Responsibilities
- System development and deployment: Build, integrate, and deploy AI-powered systems in production environments for enterprise customers.
- Model development: Fine-tune and evaluate machine learning models for real-world applications.
- Systems engineering: Design scalable pipelines for training, inference, and data processing.
- Performance optimization: Improve latency, throughput, cost efficiency, and reliability of production AI systems.
- Data and infrastructure: Work with large-scale datasets and integrate systems with internal tools and APIs across customer stacks.
- Cross-functional collaboration: Partner with product, research, and design teams to ship end-to-end features.
- Evaluation and monitoring: Implement evaluation frameworks, observability, and feedback loops for production AI systems.
Who Will Thrive Here
You are obsessed with developments at the frontier of AI. You can code independently for hours, then switch to collaborating on product and strategy. You bring the drive of someone who could have been a founder. Candidates who have not worked out here either were not ready for the intensity or realized during the process that they wanted to start their own company. Both are signals of the bar we are setting.
Requirements
- Strong proficiency in Python and modern engineering or ML frameworks
- Experience building and deploying systems in production environments
- Familiarity with data pipelines, APIs, and cloud infrastructure (AWS or GCP)
- Experience working with machine learning models or data-driven systems
- Prior experience at a venture-backed, fast-paced startup
- Hands-on experience with AI agents or agent harnesses
- Comfort with a schedule beyond 996