Today’s List at a Glance
A hand-picked list of top-tier roles for ambitious professionals. Here’s the breakdown:
- 💰 Salary Range: From $104,650/year to $405,000/year, reflecting significant earning potential.
- 🏢 Top Companies Hiring: Salesforce, Apple, TikTok, and Anthropic are actively seeking talent.
- 📍 Geographic Spread: 3 remote positions, with on-site roles in hubs like San Jose, Cupertino, and San Francisco.
- 🪜 Seniority Level: A strong focus on mid-level to principal/lead positions, including PhD-level research roles.
Featured Ethical AI & Machine Learning Scientist Opportunities
Lead/Principal Responsible AI Research Scientist at Salesforce, Inc.
📍 Location: Anywhere
💰 Salary: Not specified
Why it’s a great opportunity: This role at Salesforce focuses explicitly on Responsible AI, indicating a strong commitment to ethical development in a lead position at a major tech company.
AI Safety Scientist, Mid-Level at Jobright.ai
📍 Location: Anywhere
💰 Salary: Not specified
Why it’s a great opportunity: This mid-level position is directly aligned with AI safety, offering a clear focus on the ethical implications of AI systems for candidates looking to specialize.
Senior Agentic AI Scientist at Leidos
📍 Location: Anywhere
💰 Salary: $104,650–$189,175 a year
Why it’s a great opportunity: This role offers a competitive salary and focuses on Agentic AI, a cutting-edge field related to autonomous AI systems where ethical considerations are paramount.
Machine Learning Scientist- LLM/AI (Privacy and Data Protection Office) – 2026 Start (PhD) at TikTok
📍 Location: San Jose, CA
💰 Salary: $136K – $259K
Why it’s a great opportunity: This PhD-level position at TikTok directly integrates AI/ML with privacy and data protection, indicating a clear commitment to responsible AI practices within a high-impact product.
Our AI Resume Optimizer can help you tailor your resume’s content, section by section, for each of these specific roles.
AIML – ML Researcher in Foundation Models, Responsible AI at Apple
📍 Location: Cupertino, CA
💰 Salary: $212K – $386K
Why it’s a great opportunity: A senior research role at Apple explicitly focused on Responsible AI within foundation models, offering a high salary and significant impact on cutting-edge systems.
Research Scientist / Engineer, Agentic Learning (Horizons) at Anthropic
📍 Location: San Francisco, CA
💰 Salary: $300K – $405K
Why it’s a great opportunity: This highly compensated role at Anthropic, a leader in AI safety research, directly addresses ethical AI by focusing on training models to align with human values.
Senior Research Scientist (Qualitative) at Partnership on AI
📍 Location: US-Anywhere Remote
💰 Salary: $150K – $166K
Why it’s a great opportunity: This remote position at the Partnership on AI is ideal for those interested in qualitative research to ensure AI development and governance are human-centric and ethical.
Strategic Playbook for Landing These Roles
Profile of an Ideal Candidate
- Core Responsibility: These roles focus on advancing AI capabilities while rigorously ensuring ethical, safe, and privacy-conscious development and implementation of advanced machine learning models and large language models.
- Essential Experience: A strong background in AI/ML research and development, particularly with advanced models like LLMs, coupled with a deep understanding of ethical AI principles, data privacy, and AI safety frameworks, is consistently requested.
- Key Competencies: Beyond technical prowess, these roles demand exceptional critical thinking, problem-solving skills, and a commitment to responsible innovation, often requiring strong collaborative capabilities for cross-functional teams.
The Resume Blueprint: Keywords & Metrics
Keywords to Target:
Metrics that Matter:
✅ Led cross-functional team to integrate privacy-preserving ML techniques, achieving 100% compliance with new data protection regulations without compromising model performance.
✅ Authored and published research paper on AI safety, influencing the design of a new agentic AI system and improving its human interpretability by 30%.
Nailing the Narrative: Your Interview Strategy
Be prepared to answer tough, strategic questions. Here are some specific examples:
“Describe a complex AI research problem you’ve faced that required unconventional thinking. How did you approach it, and what was the ultimate impact of your solution?”
“How do you balance the drive for AI innovation with the crucial considerations of ethical impact and user privacy? Provide a concrete example of a challenging decision you made in this area.”
“Discuss a recent development in AI safety or responsible AI that you find particularly impactful. How might it change the way large-scale AI systems are developed?”
Put Your Playbook into Action
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