Challenging Opportunities For You To Learn And Grow Professionally Jobs in San Francisco, CA

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Looking for Challenging Opportunities For You To Learn And Grow Professionally jobs in San Francisco, CA? Browse our curated listings with transparent salary information to find the perfect Challenging Opportunities For You To Learn And Grow Professionally position in the San Francisco, CA area.

AI ML Engineer SME

Company: PMAT

Location: San Diego, CA

Posted Oct 07, 2025

Master’s degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related STEM field plus a minimum of 6 years of AI/ML experience…

Journeyman Plumber

Company: Critical Plumbing and Electrical of Texas LLC.

Location: San Antonio, TX

Posted Oct 07, 2025

Commercial construction, must have a Driver's License, must have your own tools. 2 year's experience in commercial construction, must have a Driver's License,…

Executive Sous Chef

Company: Zachry Hotels

Location: San Antonio, TX

Posted Oct 07, 2025

The hotel will feature a full-service spa, a terrace pool, and five food and beverage concepts, including a rooftop restaurant and bar.

IT Manager – Data Operations and Platforms

Company: Marathon Petroleum

Location: San Antonio, TX

Posted Oct 07, 2025

Lead the design, development, and implementation of RPA and Agentic AI solutions to automate business processes, ensuring optimal performance and minimal…

Registered Nurse (RN) - Per Diem

Company: Hydration Room

Location: Campbell, CA

Posted Oct 07, 2025

In this per diem Registered Nurse (RN) role, you’ll administer IV and injection therapies, provide patient education, and support overall wellness through…

Medical Assistant

Company: Kaiser Permanente

Location: San Francisco, California

Posted Oct 07, 2025

Carpenter Journeyman

Company: ISEC

Location: San Antonio, TX

Posted Oct 07, 2025

3-5 years experience as a finished carpenter. Report workplace hazards and make suggestions for their control. Ability to work with minimal supervision.

Machine Learning Engineer - AI Research (PhD) - Early Career

Company: General Motors

Location: Mountain View, CA

Posted Oct 07, 2025

Currently has, or is in the process of obtaining a PhD in the field of Computer Science, Machine Learning, or a related field (STEM focused), or a Master’s…

Frequently Asked Questions

What are typical salary ranges by seniority in these challenging roles?
Junior AI/ML Engineers earn $90k–$110k, mid‑level $120k–$150k, senior $160k–$200k. Cloud Architects start at $110k–$140k, rise to $170k–$210k for senior architects, and can exceed $250k for principal roles. DevOps and Cybersecurity positions follow similar tiered ranges, with senior analysts earning $140k–$180k and experts over $200k.
Which skills and certifications are most demanded?
Core skills include Python, SQL, and version control. AI roles require TensorFlow, PyTorch, and Jupyter. Cloud positions demand AWS Certified Solutions Architect, GCP Professional Cloud Architect, or Azure Solutions Architect Expert, plus Terraform and Kubernetes. Cybersecurity roles favor CISSP, CISM, or CompTIA Security+ and hands‑on experience with SIEM tools like Splunk.
Is remote work available in these positions?
Approximately 70% of the listed roles support full‑remote or hybrid arrangements. Cloud and DevOps offers often allow work-from‑anywhere, while on‑site requirements are rare for AI/ML and data engineering, especially in companies emphasizing agility.
What career progression paths exist?
Typical ladders start at junior engineer → mid‑level → senior → tech lead → principal engineer → engineering manager or VP of Engineering. For cybersecurity, the path is analyst → senior analyst → lead analyst → security manager. Continuous learning and certifications accelerate movement up these tracks.
What industry trends shape these challenging opportunities?
Key trends include AI democratization through AutoML platforms, edge computing for low‑latency inference, cloud‑native security models, and data privacy regulations (GDPR, CCPA). Companies invest heavily in building resilient, scalable infrastructures that integrate AI, data, and security, driving demand for multi‑disciplinary talent.

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