Remote Software engineering Jobs • PyTorch

Play a pivotal role in building, scaling, and leading the next generation of intelligent systems. This role blends deep technical expertise with hands-on leadership, reporting directly to the Head of AI. You’ll write production code, shape strategy, mentor team members, and help grow a lean, world-class AI engineering team.

Revolutionizing cybersecurity by combining human intelligence with artificial intelligence to create the world's most effective offensive security platform. As a Staff Software Engineer on our AI Platform team, you'll be at the forefront of developing cutting-edge AI-powered security solutions that protect organizations from emerging threats. You'll work directly on our AI platform, contribute to our in-platform AI security agent “Hai,” and help build next-generation AI safety and security tools that serve thousands of companies.

You will own the architecture, development, and continuous improvement of Sully.ai’s NLP models powering the Receptionist and Assistant agents. Working cross‑functionally with Product, Clinical, and Reliability Engineering, you’ll translate clinical workflows into robust conversational AI solutions that meet HIPAA‑level security and compliance requirements.

In this role as Sr. Staff Machine Learning Engineer, you will define and lead the architecture and development of large-scale, foundational machine learning systems that power care personalization, treatment intelligence, and automation at scale. Your work will directly shape MedMatch—our AI-powered system—by owning the architecture and direction of key ML components, enhancing provider-patient interactions, optimizing treatment recommendations, and expanding into new verticals.

In this role as Principal Machine Learning Engineer, you will define and drive the architectural vision for large-scale, foundational machine learning models and applications that power care personalization, treatment intelligence, and automation at scale. Your work will directly impact every aspect of patient care, including but not limited to MedMatch, our AI-powered system that enhances provider-patient interactions, optimizes treatment recommendations, and expands into new verticals.

In this role as Sr. Machine Learning Engineer, you will play a critical role in developing and deploying machine learning models that drive care personalization, treatment recommendations, and automation across our platform. Your work will directly impact MedMatch, our AI-powered system that enhances provider-patient interactions, optimizes treatment recommendations, and expands into new verticals.

This 12-month remote contract role places you on an international machine learning project. You’ll work within a distributed engineering team to design, train, and deploy ML models using modern frameworks like PyTorch. Dijkstrack engineers enjoy access to technical community support, structured delivery processes, and the opportunity to embed within long-term global product teams.

As an AI/ML Engineer, you will lead the development and deployment of computer vision and predictive models, ensuring they’re not only high-performing but also secure, scalable, and compliant with healthcare regulations like HIPAA and SOC 2. You’ll work cross-functionally to bring AI from concept to production—optimizing models, integrating them into clinical workflows, and driving innovation at the edge of technology and patient care.

Work with product managers and stakeholders to define AI and machine learning objectives, requirements, and timelines. Design, develop, and implement AI models, algorithms, and applications to solve complex business challenges. Oversee the full AI model lifecycle, including data collection, preprocessing, model training, evaluation, and deployment.

Build AI systems that make insurance and financial services easier to access, understand, and afford for millions across Southeast Asia. As a AI/ML Software Engineer, you’ll help build the intelligent systems that power this mission - from personalized recommendations and fraud detection to automation and search.