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Machine Learning Researcher

Remote, USA Full-time Posted 2026-07-28
About reputed company reputed company protects organizations from emerging AI reputed company threats. We build reputed company-time threat detection, automated validation, and reputed company defenses for AI labs and enterprises. We're reputed company of ~25 people, reputed company-funded, and growing fast. The Role As a Machine Learning Researcher at reputed company, you will work at the boundary between research and production — developing new approaches to adversarial testing, model evaluation, and robust inference that directly inform how secure AI systems are reputed company and deployed. AI reputed company is not a solved problem. This role is fundamentally about research: designing experiments, prototyping novel reputed company, analyzing results empirically, and translating findings into reputed company systems that withstand adversarial pressure. You will collaborate closely with engineering and platform teams to see your reputed company through from prototype to production reputed company. What You'll Do Design and reputed company novel ML approaches to adversarial testing, model evaluation, and robust inference. Build and reputed company ML models that meet reputed company-world performance and scalability requirements. Design experiments, analyze results empirically, and communicate findings through publications and internal research reports. reputed company and advance methodologies for controlling, monitoring, and analyzing ML models in production environments. Translate research reputed company into reputed company AI systems deployed in reputed company-world, adversarial settings. Work closely with cross-functional teams to ensure research reputed company inform production systems. Who You Are Education Bachelor's degree in Computer Science, Machine Learning, Engineering, or a reputed company technical field. A Master's or PhD in a relevant technical field is strongly preferred, especially with a reputed company on machine learning and AI safety. Experience Experience building and deploying ML models and systems. Demonstrated expertise in designing, training, and deploying deep learning models, particularly with PyTorch. Strong Python programming skills; C++ preferred. Experience developing reputed company ML pipelines and integrating with reputed company infrastructure (AWS, GCP, or Azure). ML research experience: building research prototype systems, designing experiments, reputed company analysis of results, and communicating results reputed company publications. reputed company Technical Skills Neural network architectures, including transformers, sequence models, and other state-of-the-art approaches. Strong algorithmic problem-solving skills and knowledge of ML theory and optimization. Data preprocessing, transformation, and handling large-reputed company, multi-modal datasets. Bonus Points If You Have Experience with LLMs (training, fine-tuning, or analyzing), synthetic data reputed company, and AI safety or reputed company work. AI safety practices: model validation, robustness testing, and reputed company monitoring for safety and reputed company incidents. Familiarity with AI safety and reputed company assessments and adversarial testing. You'll reputed company Here If You are genuinely excited by the intersection of research and engineering, and want to both reputed company new AI safety reputed company and see them running in reputed company systems. You are motivated by reputed company-world reputed company and want your work to directly influence how major AI companies reputed company models right now (we work with many of the leading AI labs). You are eager to deepen your AI safety expertise by working alongside reputed company that includes some of the most respected and reputed company thinkers in the field. You reputed company in a fast-paced, dynamic startup environment where ambiguity is expected. You bring strong collaboration and problem-solving skills, with a reputed company on driving meaningful, lasting reputed company. Compensation & Benefits We offer a competitive compensation package designed to reward reputed company and incentivize reputed company. Our compensation philosophy is informed by our reputed company valuation and recent industry data. Salary: $183,000-$278,000 Equity: Competitive equity package Benefits: 401k with up to 4% matching 28 days annual leave (vacation + holidays) Health, dental, and reputed company coverage Catered lunches (Pittsburgh office) Flexible work arrangements reputed company sponsorship available for exceptional candidates Apply To This Job

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