Senior Software Engineer, Advanced AI Research – Prototyping

🕒 il y a 7 mois

🇺🇸 États-Unis – Télétravail

💵 $142 000 - $153 000 / an

⏰ Temps Plein

🟠 Senior

🧠 Chercheur en IA

🦅 Parrain de Visa H1B

Cette entreprise a parrainé des visas H1B par le passé.

👻 Score fantôme 35%

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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Aptima

Site WebLinkedInTous les Emplois

51 - 200 employés

Fondée en 1995

💼 Conseil

🏥 Santé

📦 Logistique

Consulting • Healthcare • Logistics

Aptima est à la pointe de la révolution dans la manière dont les humains apprennent, s'entraînent et travaillent en tirant parti des technologies avancées d'intelligence artificielle. Leur mission est d'optimiser la performance humaine par la conception et l'ingénierie réfléchies de systèmes d'IA centrés sur l'humain. Avec des projets comme le Sidekick Training Accelerator™, ils automatisent et améliorent le développement de formations en utilisant l'IA générative et de grands modèles de langage. Aptima collabore avec des entités telles que la Marine américaine pour produire des solutions d'IA qui accélèrent le développement des formations, démontrant leur expertise lors d'événements tels que l'I/ITSEC. Leurs initiatives visent à renforcer les capacités humaines à l'ère de l'IA en abordant les défis de la formation, de l'apprentissage et de la préparation.

Description

• Architect and develop advanced software systems that support cutting-edge AI research and experimental prototypes. • Collaborate closely with scientists and researchers to translate novel algorithms, models, and concepts into functional prototype systems. • Design and implement flexible research platforms that enable rapid experimentation, evaluation, and iteration. • Contribute to the development of innovative AI-enabled capabilities across domains such as human–AI teaming, synthetic media analysis, influence modeling, and agent-based systems. • Lead the design and implementation of software architectures for complex research prototypes, including APIs, data pipelines, model integration layers, and evaluation frameworks. • Build modular and extensible systems that allow Aptima researchers and external collaborators to rapidly integrate new models, analytics, and experimental capabilities. • Balance rapid research iteration with maintainable and well-structured engineering practices. • Support experimentation with emerging AI approaches including agentic systems and multimodal analytics. • Implement and integrate machine learning and AI models within experimental systems and research testbeds to support internal evaluation and integration with external systems for large-scale evaluation experiments and demonstrations. • Develop workflows that support model training, evaluation, experimentation, and comparative analysis. • Develop containerized research environments using tools such as Docker to support reproducible experimentation. • Assist in preparing prototype systems for technology demonstrations with sponsors such as DARPA, DoW laboratories, and operational partners. • Provide technical leadership on R&D projects, helping shape system architectures and technical approaches, and collaborating with engineering leadership across the company. • Work across multidisciplinary teams including AI researchers, cognitive scientists, and engineers. • Mentor junior engineers and research staff on software architecture, engineering practices, and scalable research infrastructure. • Participate in customer engagements, technical reviews, demonstrations, and collaborative research activities.

🎯 Exigences

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, AI/ML, or a related technical field (or equivalent practical experience). • Ability to obtain and maintain a U.S. Government security clearance. • 6+ years of professional software engineering experience developing complex technical systems. • Strong proficiency in Python and modern software engineering practices. • Experience building complex research prototypes or experimental systems. • Familiarity with AI/ML technologies and integrating models into software systems. • Experience architecting modular software systems and designing APIs or service-based architectures. • Hands-on experience with containerization (e.g., Docker) or reproducible research environments. • Ability to work in ambiguous, exploratory environments and translate evolving research ideas into working software. • Strong communication skills and ability to collaborate with researchers, engineers, and external partners. • Willingness to travel to support integration, demonstration, or customer activities.

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