Unreal Staffing | LinkedIn (original) (raw)
Staffing and Recruiting
San Francisco , CA 97,074 followers
Connecting Elite Tech Talent | Access to Top 5% Tech Professionals | 95% Retention in Hard-to-Fill Roles 🚀
About us
🎯 Unlocking the Hidden 5% of Technical Talent That Traditional Recruiters Can't Reach Unreal Staffing specializes in solving the most challenging technical hiring needs through our proven delivery system. We've revolutionized technical recruitment by combining speed with unmatched quality, achieving a 95% retention rate - nearly double the industry average. 🚀 What Sets Us Apart: • Elite talent delivery through strategic sourcing • Successful placements in mission-critical roles ($150K-500K) • 95% retention rate vs industry average of 57% • Hire guarantee with 180-day placement assurance • Access to exclusive network of passive candidates 💼 Our Expertise: We specialize in placing elite technical talent across: • Cloud & DevOps • AI/Machine Learning • FinTech & Financial Services • Cybersecurity • Enterprise SaaS • Advanced Manufacturing • Emerging Technologies ✅ Our Proven Process: 1. Deep Understanding: We invest time understanding your technical requirements, culture, and growth objectives 2. Precision Matching: Rigorous technical assessment ensuring perfect fit 3. Rapid Delivery: Pre-vetted candidates through strategic sourcing 4. Zero Risk: Comprehensive guarantees and ongoing support 🤝 Partnership Approach: We don't just fill positions; we build lasting partnerships. Our success is measured by your long-term growth and satisfaction. We've transformed hiring from a bottleneck to a competitive advantage for companies ranging from high-growth startups to Fortune 500 organizations. 📈 Proven Results: • 60% reduction in time-to-hire • 95% retention rate across placements • $150K-500K specialized role focus • Industry-leading 180-day guarantee Connect with us to experience the future of technical recruitment. We're ready to help you build the high-performing technical teams that drive innovation and growth. Let's transform your technical hiring challenges into success stories.
Industry
Staffing and Recruiting
Company size
11-50 employees
Headquarters
San Francisco , CA
Type
Privately Held
Founded
2022
Specialties
Data Scientist, Machine Learning Engineer, AI Research Scientist, Natural Language Processing (NLP) Engineer, Computer Vision Engineer, Robotics Engineer, AI Software Developer, AI Software Engineer, Big Data Engineer, Big Data Architect, Business Intelligence (BI) Developer, and Software Engineer
Locations
Employees at Unreal Staffing
Updates
- We're #hiring a new Robotics Engineer (The Automation Architect) in San Francisco. You can apply today or please share this post with your network.
- 🚀 How teams scale ML Engineering 3x faster: 1. Contractors start within 2-3 weeks • Pre-vetted technical skills • Immediate project impact • Quick onboarding process • Ready to contribute day one 2. Knowledge transfer to permanent team • Documented best practices • System architecture insights • Training new team members • Process optimization 3. Reduced hiring pressure • Time for proper evaluation • Better candidate assessment • No rushed decisions • Quality over speed 4. Better permanent hire decisions • Clear skill requirements • Defined success metrics • Team fit understanding • Role clarity 5. Continuous project momentum • No development gaps • Consistent progress • Maintained velocity • Stable delivery Teams using this model fill roles 47% faster. "What's your biggest challenge in scaling your ML Engineering team? Share below 👇"#TechHiring #MLEngineering #TalentStrategy
- 💡 Why top Machine Learning Engineers are choosing growing companies: 1. Direct architecture ownership • Freedom to choose tech stack • Control over technical decisions • Ability to define best practices • Direct impact on architecture 2. Innovation freedom • 20% time for research • Freedom to explore new approaches • Ability to implement new technologies • Support for experimentation 3. Clear growth trajectory • Path to technical leadership • Mentorship opportunities • Conference speaking options • Publication support 4. Faster deployment cycles • Quick decision making • Rapid implementation • Direct customer impact • Immediate feedback loops 5. Technical leadership opportunities • Team building experience • Architecture planning • Strategic technical decisions • Cross-team collaboration Teams offering 3+ of these see 65% higher acceptance rates. "What’s the most important factor for ML engineers when choosing a company in your experience?"#MLTalent #TechHiring #Engineering
- 🎯 How teams are cutting Machine Learning Engineer hiring time from 90+ days to 28 days: 1. Role-specific technical assessments that mirror real projects • Real-world problem-solving instead of whiteboard exercises • Actual code reviews from your codebase • System design challenges based on your architecture • Practical ML model optimization tasks 2. Direct access to tech leads in first interview • No HR screening delays • Technical discussion from day one • Immediate architecture alignment • Quick technical fit assessment 3. 48-hour feedback commitment from all parties • Same-day interview feedback • Next-steps within 24 hours • Offer decisions in 48 hours • Clear communication timeline 4. Streamlined technical evaluation process • One comprehensive technical round • Parallel evaluations when possible • Combined culture/technical assessments • Quick technical team consensus Teams implementing even one of these cut hiring time by 40%. "Especially effective for fast-growing startups and scale-ups"#TechHiring #MLEngineering #TechRecruitment
- We’re #hiring. Know anyone who might be interested?
- We’re #hiring. Know anyone who might be interested?
- 🔐 Building a World-Class Cybersecurity Team in Austin, TX! 🖥️ We're seeking talented professionals for the following roles: Join us in shaping the future of digital security in the heart of Texas! Interested? Apply Here: https://lnkd.in/gy2EMc38
- We’re #hiring. Know anyone who might be interested?
- We’re #hiring. Know anyone who might be interested?
- We’re #hiring. Know anyone who might be interested?