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.

Business Data Analyst - Customer Service

Company: San Antonio Water System

Location: San Antonio, TX

Posted Oct 05, 2025

Bachelor's degree in Business Administration, Computer Science, Information Systems, or related field from an institution accredited by a nationally recognized…

Apprentice Electrician

Company: Six Flags Fiesta Texas

Location: San Antonio, TX

Posted Oct 05, 2025

As a Six Flags Electrician you will spend the day conducting day-to-day maintenance of all electrical systems throughout the park and responding to calls as…

Multimodal Generative Modeling Engineer

Company: Apple

Location: San Diego, CA

Posted Oct 05, 2025

As a multimodal generative modeling engineer in our team, you will be responsible for developing machine learning technologies, implementing and optimizing the…

Janitor

Company: ABM Industries

Location: Los Angeles, CA

Posted Oct 05, 2025

We will provide you with assistance and make a determination on your request for reasonable accommodation on a case-by-case basis.

San Antonio- Shuttle Driver

Company: US Foods, Inc.

Location: San Antonio, TX

Posted Oct 05, 2025

The Clearinghouse is a secure online database that provides real-time information about commercial driver’s license (CDL) and commercial learner’s permit (CLP)…

Machine Learning & Data Scientist, OS Power & Performance

Company: Apple

Location: San Diego, CA

Posted Oct 05, 2025

In this role, you will analyze high dimensional data to derive meaningful insights and be responsible for producing metrics, models, simulations, and tools for…

Executive Sous Chef - Santana Row

Company: Maggiano's Little Italy

Location: San Jose, CA

Posted Oct 05, 2025

Applicants should have 2+ years as a Sous chef in a full service restaurant. Highly competitive salary positioned at the top 25% of the industry.

Welder II - and III

Company: Continental Tide Defense System INC.

Location: Lincoln Acres, CA

Posted Oct 05, 2025

Must be able to select required welding filler materials, joint design, heat ranges and most effective or required welding process/procedure to ensure quality…

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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