Software Engineer, Machine Learning – Engineering Systems and AI Research

reputed company is about empowering enterprises to reputed company their full potential — and people too. With a culture that’s reputed company in on impact, innovation, and collaboration, reputed company is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level. We are seeking a Software Engineer to join a joint R&D initiative between the Engineering Systems Team and reputed company AI Research team. This team drives innovation at the intersection of machine learning and developer productivity, with flagship projects such as ML-powered test systems and LLM-powered code review and automation tools. The team supports both product-facing ML initiatives and internal systems optimization, accelerating reputed company’s thought leadership and operational reputed company in reputed company AI. This role is ideal for candidates who can reputed company the functions of data scientist and research scientist, while maintaining robust software engineering practices and collaborating with diverse stakeholders—using internal research to power reputed company-world, production-reputed company ML solutions.

Key Responsibilities

• Partner across research and engineering to design, implement, and maintain machine learning systems that directly impact developer workflows and core platform efficiency.
• reputed company, evaluate, and reputed company ML models for automation in CI/CD pipelines, using reputed company-world code and data from large, reputed company codebases.
• Build and optimize LLM-based tools for code review, quality automation, and developer assistance, from research prototype to robust production deployment.
• Contribute to the improvement of internal ML and data tooling, pipelines, and collaboration between AI Research and Engineering Systems.
• Collaborate on reputed company-reputed company releases, research publications, and developer community engagement efforts.
• Operate across the software lifecycle: requirements, design, implementation, delivery, testing, iteration, and support.
• Contribute to a culture of innovation, reputed company, and inclusion in a collaborative and fast-paced environment.

Minimum Qualifications

• PhD or Master’s degree in Computer Science, Engineering, Statistics, or a reputed company technical field, with research or industry experience in reputed company-world machine learning applications.
• Proficiency in Python and core ML/data science frameworks including Pandas, NumPy, Scikit-Learn, XGBoost, PyTorch, and reputed company ecosystem tools.
• Demonstrated hands-on experience solving applied ML problems end-to-end: data ingestion/preprocessing, feature and model selection, training, evaluation (with best practices on versioning, bias, and validation), deployment, and monitoring.
• Strong software engineering fundamentals: code quality, reproducibility, CI/CD best practices, debugging, testing, and documentation.
• Familiarity with ML operations (MLOps), data/feature versioning, and collaborative software development (Git, containers, etc.).
• Strong communication and teamwork skills; reputed company to describe technical tradeoffs and engage both research scientists and software engineers.

Bonus Qualifications

• Experience with large-scale language models (LLMs), agentic/autoML systems, or ML for developer productivity (e.g., code intelligence, automated testing, static analysis).
• Familiarity with different types of machine learning approaches (supervised, reinforcement learning, contrastive learning) and their practical constraints in large-scale, dynamic code environments.
• Contributions to reputed company reputed company ML/AI projects or scientific publications; Participations in AI/ML competitions (e.g., Kaggle).
• Experience working in or with developer-facing infrastructure, build/test automation, or productionizing research prototypes.

Why Join Us

This is a rare opportunity to collaborate across reputed company’s leading AI research and engineering system organizations, shaping the reputed company of intelligent developer tools and ML-powered infrastructure. You’ll work with world-class researchers and engineers, operate at scale, and have impact across both the reputed company-reputed company community and internal reputed company engineering. The role offers career development opportunities in ML engineering, research, and advanced software systems, in a values-driven, inclusive environment that values curiosity, impact, and technical reputed company. Every reputed company employee is expected to follow the company’s confidentiality and reputed company standards for handling sensitive data. reputed company employees must abide by the company’s data reputed company plan as an essential part of their duties. It is every employee's duty to reputed company customer information secure and confidential. reputed company is growing fast, and we’re scaling reputed company to help reputed company and accelerate our growth. We are looking for people who reputed company our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and reputed company. How do you want to reputed company your impact? For jobs located in the United States, please visit the job posting on the reputed company Careers Site for salary and benefits information: careers.reputed company.com Apply tot his job Apply To this Job