Manager, AI Engineering

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $163k - $306k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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SandboxAQ

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2021

🤖 Artificial Intelligence

🔒 Cybersecurity

💊 Pharmaceuticals

Artificial Intelligence • Cybersecurity • Pharmaceuticals

SandboxAQ is a company developing quantitative AI and quantum-inspired technologies to solve real-world problems across drug discovery, materials science, cybersecurity, and navigation. They build large quantitative models (LQMs) grounded in physics and chemistry to predict molecular properties, accelerate therapeutic design, and simulate complex chemical and catalytic processes, while also applying their expertise in AI and post-quantum cryptography to enhance digital security and navigation in GPS-denied environments.

📋 Description

• Lead and grow a small, highly technical team while remaining deeply involved in hands-on engineering and research • Set technical direction, break down ambiguous problems, establish practical plans for fast, high-quality execution, and build a culture of ownership, low-ego collaboration, thoughtful experimentation, and high standards • Create agentic capabilities, including frameworks for monitoring, guardrailing, and evaluating agents • Stay current on agentic developments and identify new opportunities • Perform classical ML tasks, including exploratory data analysis, feature engineering, and model fine-tuning • Rapidly iterate on prototypes and features based on feedback and evolving product needs • Work closely with Product and Research to translate AI research into applicable features and software engineering projects • Contribute production-ready code and technical designs across engineering to deliver scalable, reliable software • Help set technical direction, raise the quality bar, mentor team members, and move quickly from research insight to real-world product impact

🎯 Requirements

• BSc in Computer Science or related field with exposure to AI/ML • Deep expertise in AI/ML, software engineering, or AI security • Strong programming skills in Python and relevant ML and/or agentic frameworks • Demonstrated ability to work cross-functionally and collaboratively with a high degree of end-to-end ownership, delivering real world outcomes • Ability to pick up other programming languages and technologies as required to ship scalable and reliable software • Hands-on experience with at least one of: agent orchestration, agent harnesses, agent teams, jailbreaking/prompt injection, red teaming, data poisoning or evasion attacks, secure model deployment or sandboxing, detection and monitoring for AI misuse • Experience contributing to open source projects • Experience in a fast-paced startup environment • PhD in Computer Science or related field with focus on AI/ML or similar is highly desired • Experience in cybersecurity is a plus, but not essential • Candidates cannot participate in foreign talent programs sponsored by China, Russia, Iran, or North Korea • Must be legally authorized to work in the country where the job is located

🏖️ Benefits

• Performance-based incentives or bonuses (where applicable) • Equity participation • Comprehensive medical, dental, and vision coverage for employees and dependents with generous employer premium contributions • Retirement savings with company matching • Paid parental leave • Inclusive family-building benefits • Fully remote work • Flexible paid time off • Company-wide seasonal breaks • Support for flexible work arrangements • Opportunities for continuous learning and growth through on-the-job development • Cross-functional collaboration • Access to internal learning and development programs