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.

Entry Level Systems Engineer

Company: BAE Systems

Location: San Diego, CA

Posted Oct 06, 2025

Tasks may include performing requirements analysis, working with customers and other team members to achieve program objectives, preparing technical…

Software Integrity Engineer - CoreOS Performance QE

Company: Apple

Location: San Diego, CA

Posted Oct 06, 2025

You'll also troubleshoot and debug automation issues, develop and modify test plans, and help ensure a seamless experience for our users.

Business Intelligence Analyst Mid Level - Finance Data & Analytics

Company: USAA

Location: San Antonio, TX

Posted Oct 05, 2025

OR advanced degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or…

Welder - MBI Irwindale, CA

Company: Matheson Tri-Gas, Inc.

Location: Irwindale, CA

Posted Oct 05, 2025

Knowledge, Skills and Abilities:Prefer at least 3-5 years of experience working with TIG welding and in a manufacturing environment.

Applied Scientist II, Prime Video - Personalization and Discovery Science

Company: Amazon.com Services LLC

Location: Sunnyvale, CA

Posted Oct 05, 2025

Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports – including Amazon MGM Studios-…

Business Intelligence Analyst Senior - Finance Data & Analytics

Company: USAA

Location: San Antonio, TX

Posted Oct 05, 2025

For a total of 6 years combined experience OR advanced degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial…

Business Intelligence Analyst - Intermediate Level

Company: USAA

Location: San Antonio, TX

Posted Oct 05, 2025

We are seeking a motivated individual to join our Treasury Operations Team, focusing on driving process improvements through in-depth data analysis and…

2026 Entry Level Software Engineer

Company: BAE Systems

Location: San Diego, CA

Posted Oct 06, 2025

Bachelor's of Science in Computer Science, Computer Engineering, or computer science related field. Prior internship or research experience in related field.

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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