Students are working harder than ever before to stabilize their future. Our recent research study called State of the Student shows that nearly 3 out of 4 students are working to support themselves through college and 1 in 3 students feel pressure to spend more than they can afford. We founded our business on providing affordable textbook rental options to address these issues. Since then, we’ve expanded our offerings to supplement many facets of higher educational learning through Chegg Study, Chegg Math, Chegg Writing, Chegg Internships, Chegg Skills, and more to support students beyond their college experience. These offerings lower financial concerns for students by modernizing their learning experience. We exist so students everywhere have a smarter, faster, more affordable way to study.
Senior Software Engineer - Model Training & AI Evals
Location
India
Posted
4 days ago
Salary
0
Seniority
Senior
Job Description
Senior Software Engineer - Model Training & AI Evals
Chegg Inc.
Role Description We are looking for a Senior Engineer to join our AI team at the intersection of evaluation science, post-training, and foundation model development. You will own our end-to-end eval and benchmarking infrastructure — the critical feedback loop that drives every major model improvement — while contributing hands-on to post-training pipelines for industry-specific vertical foundation models. This role is ideal for someone who has worked directly inside an LLM lab and understands what rigorous evaluation looks like at scale: - Designing the taxonomy of skills being measured - Identifying failure modes - Engineering synthetic data to close capability gaps - Translating eval signals into actionable training decisions Qualifications - 5+ years of ML/AI engineering experience, with at least 2–3 years focused on large language models - Direct, hands-on experience at an LLM lab, AI research organization, or equivalent frontier AI team - Familiarity with the full model lifecycle: pre-training data, post-training alignment, eval, and production deployment - Deep practical expertise in post-training methods: SFT, RLHF, RLAIF, DPO, PPO - Experience with reward modeling, preference data curation, and quality control for alignment pipelines - Demonstrated experience designing LLM evaluation frameworks beyond standard benchmarks - Hands-on experience building synthetic data generation pipelines to address specific model capability gaps - Proven track record of comparative benchmarking across leading foundation models - Experience training or fine-tuning vertical/industry-specific foundation models - Strong software engineering fundamentals: Python, PyTorch or JAX, distributed training Requirements - Lead or directly contribute to SFT, RLHF, RLAIF, and DPO training runs on industry-specific vertical foundation models - Curate and engineer high-quality instruction-tuning and preference datasets for domain adaptation - Define data quality criteria, rejection sampling strategies, and deduplication pipelines for SFT corpora - Design preference pair construction methodologies and reward model training setups - Implement and experiment with alignment techniques including reward modelling and constitutional/RLAIF approaches - Run ablation studies and controlled experiments to attribute model behaviour changes - Contribute to continual pre-training and domain-adaptive fine-tuning pipelines - Build scalable eval pipelines that run automatically on every training checkpoint - Maintain model cards, eval leaderboards, and internal dashboards - Ensure reproducibility through rigorous experiment tracking Benefits - Flexible work environment - Health and wellness programs - Professional development opportunities - Competitive salary and equity options - Generous vacation policy Company Description Students are working harder than ever before to stabilize their future. Our recent research study called State of the Student shows that nearly 3 out of 4 students are working to support themselves through college and 1 in 3 students feel pressure to spend more than they can afford. We founded our business on providing affordable textbook rental options to address these issues. Since then, we’ve expanded our offerings to supplement many facets of higher educational learning through Chegg Study, Chegg Math, Chegg Writing, Chegg Internships, Chegg Skills, and more to support students beyond their college experience. These offerings lower financial concerns for students by modernizing their learning experience. We exist so students everywhere have a smarter, faster, more affordable way to study.
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