Qualified Applicants Opportunities Jobs in San Francisco, CA

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Looking for Qualified Applicants Opportunities jobs in San Francisco, CA? Browse our curated listings with transparent salary information to find the perfect Qualified Applicants Opportunities position in the San Francisco, CA area.

Lick Observatory Senior Custodian

Company: University of California Santa Cruz

Location: Mount Hamilton, CA

Posted May 25, 2025

Must possess a valid license to drive in the state of California and be able to participate in the Department of Motor Vehicles (DMV) pull notice program.

Plumber

Company: 10X Recruiting Partners

Location: Los Angeles, CA

Posted May 25, 2025

Employment Type: Full-time, with travel throughout Los Angeles (no overnight stays). Comprehensive Benefits Package (Health, Retirement, PTO).

Outside Machinist

Company: Ameri-Force

Location: San Diego, CA

Posted May 24, 2025

Must have the ability to read and interpret mechanical drawings, written instructions/ technical manuals. Minimum three years of experience in a related field,…

Principal AI/ML Engineer - State Estimation & Map Creation, Embodied AI

Company: General Motors

Location: Mountain View, CA

Posted May 24, 2025

Role: As a Technical Lead in State Estimation within the SEAM Embodied AI organization, you will be a senior individual contributor driving cutting-edge state…

Store Associate

Company: CVS Health

Location: San Jose, CA

Posted May 24, 2025

Accurately perform cashier duties - handling cash, checks and credit card transactions with precision while following company policies and procedures.

Staff Software Engineer - AMR Robot Simulation

Company: General Motors

Location: Mountain View, CA

Posted May 25, 2025

Bachelor's, Master’s or Ph.D. in Robotics, Computer Science, Electrical/Mechanical Engineering, or related field. Proficiency in Python or C++.

HVAC Technician

Company: Pearce Services

Location: Santa Clara, CA

Posted May 24, 2025

Responding to service calls in a timely manner, including emergency call out services. Basic knowledge of electronic, mechanical, and electrical components…

Frequently Asked Questions

What are the typical salary ranges for Qualified Applicants Opportunities by seniority?
Entry‑level AI/ML roles usually pay between $90,000 and $120,000 annually. Mid‑level positions range from $120,000 to $160,000, while senior roles can command $160,000 to $200,000. Lead or manager positions often exceed $200,000, reaching up to $250,000 in high‑cost‑of‑living markets or for highly specialized expertise.
What skills and certifications are required for these positions?
Core technical skills include Python, R, SQL, and statistical libraries. Proficiency with TensorFlow, PyTorch, scikit‑learn, and cloud‑native AI services (AWS SageMaker, Azure ML, GCP AI Platform) is essential. Certifications such as TensorFlow Developer, AWS Certified Machine Learning – Specialty, GCP Professional Data Engineer, and Kaggle Distinction demonstrate mastery and are highly valued.
Is remote work available for Qualified Applicants Opportunities?
Yes, approximately 80% of listings list remote or hybrid arrangements. Remote teams rely on tools like Slack, GitHub, MLflow, and cloud notebooks (Colab, SageMaker Studio) to collaborate across time zones while maintaining code quality and version control.
What career progression paths exist in this field?
Typical progression starts with a Data Analyst or Junior Data Scientist, advancing to Senior Data Scientist or ML Engineer. From there, professionals can move into Lead ML Engineer, AI Architect, or Director of AI/ML, often taking on strategic product direction and cross‑functional leadership responsibilities.
What industry trends are shaping Qualified Applicants Opportunities?
Key trends include the rise of edge AI for IoT devices, federated learning for privacy‑preserving models, increased focus on AI ethics and explainability, and the rapid deployment of AI in healthcare diagnostics and drug discovery. Companies are also investing in automated ML pipelines and no‑code AI platforms to democratize model development.

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