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Source Now Jobs in California (NOW HIRING)

AI Talent Now

Forward Deployed Engineer

San Francisco, CA · On-site

$120 - $150/hr

AI Talent Now Job # ZR 88 The first Forward Deployed Engineer in San Francisco As our first Forward ... source) * Can solve algorithmic/logic coding problems under pressure -- this is where most ...

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Source Now information

What is Source Now?

Source Now jobs typically refer to roles involved in sourcing and recruiting candidates for open positions within a company or for clients. These jobs focus on identifying, attracting, and engaging potential candidates using various channels such as job boards, social media, and networking. People in Source Now positions may work as recruiters, talent acquisition specialists, or sourcing agents. Their main goal is to build a strong pipeline of qualified talent quickly and efficiently to meet hiring needs.

What are some common challenges faced by professionals in sourcing roles, and how can they be addressed?

Professionals in sourcing roles often encounter challenges such as rapidly changing supplier markets, tight deadlines, and the need to balance cost savings with quality and compliance. Staying updated on market trends, building strong supplier relationships, and leveraging digital tools for data analysis can help address these issues. Effective communication with internal stakeholders and proactive risk management are also key strategies to overcome sourcing challenges and ensure project success.

What are the key skills and qualifications needed to thrive as a sourcing specialist, and why are they important?

To thrive as a Sourcing Specialist, you need expertise in procurement strategies, supplier negotiation, and market analysis, typically supported by a degree in supply chain management or business. Familiarity with sourcing platforms, procurement software (such as SAP or Oracle), and vendor management systems is commonly required. Strong communication, relationship-building, and problem-solving skills help you excel in collaborating with vendors and internal stakeholders. These skills are crucial for ensuring cost-effective purchasing, minimizing supply risks, and supporting organizational goals.

What is the difference between Source Now vs Procurement Specialist?

AspectSource NowProcurement Specialist
Primary RoleIdentify and connect with potential candidates or suppliers quicklyManage procurement processes, negotiate contracts, and purchase goods/services
Required CredentialsVaries; often no formal certification requiredTypically requires a degree in supply chain, business, or related field; certifications like CPSM are common
Work EnvironmentFast-paced, often freelance or temporary roles, online platformsCorporate offices, warehouses, or client sites
Industry UsageUsed across staffing, supply chain, and sourcing industriesPrimarily in supply chain, logistics, and manufacturing sectors

Source Now focuses on quickly connecting clients with candidates or suppliers, often in a freelance or online setting. Procurement Specialists handle comprehensive purchasing processes within organizations, requiring specific credentials and working in more structured environments. While both roles involve sourcing, their scope and responsibilities differ significantly.

What are popular job titles related to Source Now jobs in California?

For Source Now jobs in California, the most frequently searched job titles are:

What job categories do people searching Source Now jobs in California look for?

The top searched job categories for Source Now jobs in California are:

What cities in California are hiring for Source Now jobs?

Cities in California with the most Source Now job openings:

Source Now jobs near you
Infographic showing various Source Now job openings in California as of August 2026, with employment types broken down into 1% As Needed, 91% Full Time, 6% Part Time, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

AI Engineer, Internship - Summer 2026 - Applications Open Now

Postman

Berkeley, CA

Temporary, Internship

Posted 20 days ago

Job description

The Opportunity (Summer 2026 AI Internship - Applications Open Now)

We're seeking an AI Engineer Intern to work alongside our AI team on large-scale AI and Agentic  systems from data pipeline to production deployment. This role is scoped for someone with foundational experience who wants to deepen it: you'll own discrete pieces of real systems under the mentorship of senior engineers, not shadow work or isolated coursework-style projects.

What You'll Do

You'll work directly with the AI team, taking responsibility for well-scoped pieces of real systems, with mentorship from senior engineers.

Benchmarks & Evaluation

  • Contribute to APIFlow-Bench, our open-source benchmark for real API-development work: design and review benchmark tasks and their mock API environments, extend the evaluation harness and task-generation pipeline in Python, and help maintain the public multi-model leaderboard with statistical confidence intervals.
  • Help build a new action-level AI safety benchmark: instead of grading what a model says, it scores what an agent actually does inside a simulated enterprise API environment. You'll work on scenario design, threat modeling (prompt injection, data exfiltration, permission overreach), and auditable evaluation design.

Model Training & Efficiency

  • Fine-tune open-weight models for tool calling and agentic tasks (SFT, distillation, and RL) using PyTorch and the open-source training ecosystem, on both managed training platforms and self-managed cloud GPUs.
  • Design and run experiments with rigor: evaluate every training run on our benchmarks, support ablation studies and error analysis, track experiments, and report results honestly, including cost.
  • Evaluate ultra-low-bit quantized models for on-device use: extend our quantized vs. full-precision benchmark comparisons and analyze where and why they diverge.

Agent Systems & Engineering Practice

  • Help build the next generation of Postman's in-product AI agent (Agent Mode): a deliberately minimal agent architecture that calls LLM APIs directly (tool loops, multi-step execution, checkpointing), primarily in TypeScript. No prior TypeScript is required; strong Python fundamentals transfer quickly.
  • Read the source code of open-source agent harnesses and turn what you learn into design specs and prototypes.
  • Document experiments, design decisions, and runbooks so your work is legible to the next person; flag safety, fairness, or privacy concerns you observe in model or agent behavior.
About You
  • Currently pursuing a BS, MS, or PhD in Computer Science, Data Science, or a related quantitative field.
  • Hands-on experience training or evaluating ML models: course projects, research, hackathons, or a prior internship all count.
  • Solid Python fundamentals: data structures, functions, basic testing; comfortable writing and reviewing code outside of notebooks.
  • Working knowledge of at least one deep-learning framework (PyTorch preferred).
  • Clear written and verbal communication, and a habit of documenting what you build.
Preferred Qualifications  (none required; the more of these you have, the better)
  • Experience fine-tuning open-weight LLMs (SFT, LoRA, RL, or distillation), with the improvement measured on a benchmark.
  • Experience building LLM agents (tool calling, multi-step loops) or LLM evaluation harnesses/benchmarks, and reporting results with statistical rigor.
  • A track record of shipping real software end-to-end: APIs and services, CLIs, Docker, CI/CD, cloud; public code on GitHub is a big plus.
  • Interest or experience in AI safety and robustness: red-teaming, prompt injection, agent security, fairness, or interpretability.
  • Exposure to model-efficiency work: quantization, low-bit inference, or serving optimization.
  • Evidence of rigor and initiative: publications, technical blog posts, ablation studies, or self-driven side projects with quantified results.
  • Fluency with AI coding tools (Claude Code, Cursor, Codex) to ship fast while still deeply understanding the systems you build.

Apply