Computer science • everett wa
We're looking for experienced machine learning researchers with hands-on experience training and improving deep learning models end-to-end, across vision and language.You'll work on well-scoped emp... Show more
We're looking for experienced machine learning researchers with hands-on experience training and improving deep learning models end-to-end, across vision and language.You'll work on well-scoped emp... Show more
The successful candidates will be placed in the appropriate job title based on qualifications.We strongly encourage you to submit a cover letter along with your application to help us understand wh... Show more
The research teams behind the best-known AI models come to Mercor for scientific judgment they can't generate on their own.Your standards and expertise become the rubric that frontier AI is graded ... Show more
Responsible for managing the organization's technology operations, infrastructure and development teams.Oversee both the software development team responsible for product development and the IT tea... Show more
At Fluke, we're building a unified software platform that enables seamless experiences across connected products, workflows, and customer journeys.As a Senior Product Manager, you will help shape t... Show more
Senior Electrical Engineer (Direct Placement for Client)   Primary Function:.Looking for an experienced Electrical Engineer to design and certify panels used in the cockpit of commercial and m... Show more
About the role We are hiring expert Evaluators in **Data Science** to review and assess AI-generated work products (slides, spreadsheets, and documents) for real-world quality.You will apply deep s... Show more
The research teams behind the best-known AI models come to Mercor for materials science judgment they can't generate on their own.Your standards and expertise become the rubric that frontier AI is ... Show more
About the role We are hiring expert Evaluators in **Data Science** to review and assess AI-generated work products (slides, spreadsheets, and documents) for real-world quality.You will apply deep s... Show more
About the Role** Mercor is hiring experienced **Computer and Information Systems Managers** to help evaluate and improve cutting-edge AI systems.In this role, you'll evaluate AI-generated IT manage... Show more
Due to the classified nature of our work, U.Candidates must be willing to obtain and maintain a DoD Security Clearance.Pacific Defense, a small fast-growing company that develops and provides advan... Show more
About the work **CritPt** is a public benchmark of research-level physics challenges, built to test whether frontier AI models can carry out genuine physics research reasoning rather than textbook ... Show more
About the Role** Mercor is hiring experienced **Computer and Information Systems Managers** to help evaluate and improve cutting-edge AI systems.In this role, you'll evaluate AI-generated IT manage... Show more
Associate Product Development Specialist.Nestlé’s Research & Development Center is our regional powerhouse driving innovation in food, beverage, and pharmaceutical science.Backed by our global Nest... Show more
The research teams behind the best-known AI models come to Mercor for materials science judgment they can't generate on their own.Your standards and expertise become the rubric that frontier AI is ... Show more
The research teams behind the best-known AI models come to Mercor for scientific judgment they can't generate on their own.Your standards and expertise become the rubric that frontier AI is graded ... Show more
About the work **CritPt** is a public benchmark of research-level physics challenges, built to test whether frontier AI models can carry out genuine physics research reasoning rather than textbook ... Show more
Associate Dean of Applied Sciences & Advanced Manufacturing.The Associate Dean of Applied Sciences & Advanced Manufacturing leads the planning, development, and management of the College's professi... Show more
Karman Space & Defense is a leader in the rapid design, development, and production of critical, next-generation system solutions that align with the U.Department of War and its allies' core missio... Show more
The average salary range is between $ 64,974 and $ 218,500 year , with the average salary hovering around $ 64,974 year .
The average salary range is between $ 50,000 and $ 114,230 year , with the average salary hovering around $ 67,961 year .
We're looking for experienced machine learning researchers with hands-on experience training and improving deep learning models end-to-end, across vision and language. You'll work on well-scoped empirical open-ended ML research problems. ## Responsibilities - Train image classifiers and generative image models from scratch, and fine-tune open-weight language models. - Get the most out of limited data, compute, and model-size budgets. - Make models robust — to adversarial inputs and to adversarial conversations. - Compress models to meet hard size and latency constraints without sacrificing accuracy. - Diagnose and resolve training issues. ## Requirements We are looking for candidates with strong expertise in one or more of the following areas: **Adversarial Robustness** Experience with: - Adversarial training of image classifiers (e.g. PGD-based training, TRADES). - Evaluating robust accuracy under standard threat models (e.g. L∞ attacks, AutoAttack) and avoiding gradient-masking pitfalls. - Managing the robustness–accuracy trade-off and robust overfitting. **Efficient Computer Vision** Experience with: - Training image classifiers end-to-end, especially for fine-grained recognition (many visually similar classes, few examples per class). - Model compression: quantization, pruning, and knowledge distillation from large teachers into small students. - Deploying models under hard size or latency budgets (on-device, edge, or embedded settings). **Generative Image Modeling** Experience with: - Training image generative models from scratch: diffusion models, GANs, VAEs, or flow-based models. - Iterating against sample-quality metrics such as FID. - Training-efficiency tricks that produce good generators quickly and at small parameter counts. **LLM Post-Training & Behavioral Robustness** Hands-on experience with one or more of: - Supervised fine-tuning and preference optimisation (DPO, RLHF, RLAIF) of open-weight language models, including building your own datasets via synthetic generation, noisy or weak supervision, and rejection sampling. - Shaping conversational behaviour over multiple turns: resistance to persuasion and sycophancy, calibrated confidence, and knowing when to accept corrections. - Alignment-style fine-tuning that changes a specific behaviour while preserving general capability. **Multilingual Pre-training** Experience with: - Training multilingual or low-resource-language models from scratch. - Tokenizer design across scripts and typologically diverse languages. - Balancing highly unequal per-language data (sampling temperatures, cross-lingual transfer) in data-constrained regimes. **Additional Areas of Interest** Experience in any of the following is a plus: - Scaling laws and training-efficiency research. - Curriculum learning and data ordering. - Model evaluation: benchmark construction, contamination control, statistically sound comparisons. - Uncertainty estimation and model calibration. - Data augmentation and synthetic data for robustness. ## General Qualifications - 3+ years of machine learning research experience (PhD research counts toward this requirement). - Strong experience with PyTorch, JAX, TensorFlow, or similar ML frameworks. - Degree from a top-100 university, experience at a FAANG or comparable AI company, or an equivalent research track record through publications or impactful open-source contributions. ## Why Join - Work on cutting-edge machine learning research. - Collaborate with leading AI researchers on challenging, high-impact projects. - Flexible, project-based work with competitive compensation.
