Research Engineer

Emploi pas sur LinkedIn

🕒 il y a 11 jours

🇺🇸 États-Unis – Télétravail

💵 $122 000 - $228 000 / an

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

📚 Ingénieur de Recherche

👻 Score fantôme 0%

Ce que ça veut dire : la probabilité que personne ne recrute vraiment pour cette offre.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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SandboxAQ

Site WebLinkedInTous les Emplois

51 - 200 employés

Fondée en 2021

🤖 Intelligence artificielle

🔒 Cybersecurity

💊 Pharmaceutique

Artificial Intelligence • Cybersecurity • Pharmaceuticals

SandboxAQ est une entreprise développant des technologies d'IA quantitative et inspirées par la physique quantique pour résoudre des problèmes concrets dans les domaines de la découverte de médicaments, la science des matériaux, la cybersécurité et la navigation. Ils construisent de grands modèles quantitatifs (LMQ) fondés sur la physique et la chimie pour prédire les propriétés moléculaires, accélérer la conception thérapeutique et simuler des processus chimiques et catalytiques complexes, tout en appliquant leur expertise en IA et en cryptographie post-quantique pour améliorer la sécurité numérique et la navigation dans des environnements privés de GPS.

Description

• Create new agentic capabilities, including frameworks for monitoring, guardrailing, and evaluating agents, and improve their collaboration • Perform classical ML tasks including exploratory data analysis, feature engineering, and model fine-tuning using the latest frameworks • Work closely with Product and Research to translate AI research into applicable features and software engineering projects • Rapidly iterate on prototypes and features based on feedback and evolving product needs • Contribute production-ready code and work across engineering to deliver scalable software • Stay current with agentic developments and explore new opportunities • Break, fix, and harden systems for production • Collaborate with ML experts, security experts, mathematicians, and software engineers • Publish and deploy innovations shaping agentic collaboration and trust

🎯 Exigences

• MSc 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 • Candidates cannot participate in foreign talent programs sponsored by China, Russia, Iran, or North Korea • PhD in Computer Science or related field with focus on AI/ML or similar is highly desired • Hands-on experience with agent orchestration, agent harnesses, agent teams, jailbreaking/prompt injection, red teaming, data poisoning or evasion attacks, secure model deployment or sandboxing, or detection and monitoring for AI misuse is highly desired • Experience contributing to open source projects is highly desired • Experience in a fast-paced startup environment is highly desired • Experience in cybersecurity is a plus, but not essential • Must be legally authorized to work in the United States • Must state whether company sponsorship or support is required to obtain or maintain a work visa or permit

🏖️ Avantages

• Competitive base salary • 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 • Flexible paid time off • Company-wide seasonal breaks • Support for flexible work arrangements • On-the-job development • Cross-functional collaboration • Access to internal learning and development programs

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