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.

Sonographer III -30 hours

Company: Kaiser Permanente

Location: South San Francisco, California

Posted May 18, 2025

Community Manager

Company: Avanath

Location: San Jose, CA

Posted May 19, 2025

Coordinate and oversee on-site operations, including budget implementation, compliance matters, vendor relationships, contractor workmanship, rent collections,…

Math Teacher

Company: Triumph Public High Schools

Location: San Antonio, TX

Posted May 19, 2025

This position may require some occasional work on Saturday’s, over the summer and some travel within the state of Texas. Work Schedule: Full Time, 187 days.

Retail Sales Associate

Company: Essential Impact Marketing

Location: San Diego, CA

Posted May 19, 2025

Meet or exceed entry-level sales goals. Willingness to learn and adapt (student mentality). Guaranteed $19/hour and if production based commission exceeds your…

E-Commerce Lead - Kohler Ventures

Company: Kohler

Location: Palo Alto, CA

Posted May 19, 2025

Monitor the integration of e-commerce platforms and third-party tools (payments gateways) and escalate any performance concerns to the software team.

Player Performance Chef - San Jose Sharks

Company: Aramark

Location: San Jose, CA

Posted May 19, 2025

Work closely with the team nutritionist to develop meal plans tailored to players? performance, recovery, and dietary needs.

Integrated Marketing Communications Lead - Kohler Ventures

Company: Kohler

Location: Palo Alto, CA

Posted May 19, 2025

Stay up to date with industry developments, wellness trends, social media trends, tools and applications. You will be responsible for developing and executing…

Plumber

Company: San Jose State University

Location: San Jose, CA

Posted May 18, 2025

Under general supervision of the Supervising Plumber, the Plumber works independently or as a team member to perform the full range of skilled plumbing work…

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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