Deep learning • 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
About the role We are hiring expert Evaluators in **Healthcare / clinical** to review and assess AI-generated work products (documents, spreadsheets, and slide decks) for accuracy, rigor, and domai... Show more
Compensation: USD 32 - USD 37 - weekly.Company: Movement Physical Therapy.Schedule: Flexible, 20 hours per week.At MPT, our number one goal is the patient and their outcome.We want to get you back ... Show more
New to Mortgage But Not New to Hustle.Get Licensed and Build With Us.Maybe you just passed your NMLS exam.Maybe you're studying for it now.Maybe you've spent years in real estate, sales, or buildin... Show more
At Mathnasium, we believe every child has the potential to be a "math person.Our mission is to help children understand, master, and love math through the.We provide a supportive, high-energy envir... Show more
About Mercor’s talent network** Join our Machine Learning Engineer Expert Network to connect with leading AI labs and companies seeking your expertise.This is an open application for future contrac... Show more
The Lead Teacher along with the Director is responsible for delivering a high quality personal customer experience by ensuring that Sylvan education programs are delivered by teachers as designed a... Show more
Mercor is seeking experts in Atomic Layer Deposition (ALD) and thin-film processes to support a frontier AI research lab building models for semiconductors and the physical sciences.This is hands-o... Show more
About the role We are hiring expert Evaluators in **Media / journalism / communications** to review and assess AI-generated work products (documents, spreadsheets, and slide decks) for accuracy, ri... Show more
About the role We are hiring expert Evaluators in **Education / school** to review and assess AI-generated work products (documents, spreadsheets, and slide decks) for accuracy, rigor, and domain q... Show more
About the role We are hiring expert Evaluators in **Legal contracts / diligence / redlines** to review and assess AI-generated work products (documents, spreadsheets, and slide decks) for accuracy,... Show more
AI data lab for training frontier models and evaluating AI agents.Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more.AI... Show more
Fluke is seeking a strategic HR Director to play a pivotal role in shaping the future of our people, culture, and business.This role is about strengthening organizational capability, driving cultur... Show more
Across North America and all over the world, Mathnasium Learning Centers are committed to teaching children math so that they understand it, master it, and love it.Our world-class curriculum is bui... Show more
Computational Statistics and Applied Mathematics Expert ### About the Project We're building a large-scale benchmark to test how well advanced AI systems can solve hard scientific and engineering p... Show more
At Mathnasium, we believe every child has the potential to be a "math person.Our mission is to help children understand, master, and love math through the.We provide a supportive, high-energy envir... Show more
About the Role Mercor is partnering with a leading language-learning platform to recruit Spanish learners for a short-term project involving recorded, one-on-one Spanish learning sessions.Learners ... Show more
Ability to apply knowledge of instructional skills (e.Using a variety of media, clearly conveys information and ideas to individuals or groups in a manner that engages the audience and helps them u... Show more
Employee Development Specialist 4.Location: Everett, Renton, Seattle, Kent WA.Duration: 12 months assignment with possible extension.Shift Schedule: Must be flexible for 1st and 2nd shift.Job Descr... Show more
About the role We are hiring expert Evaluators in **Procurement / vendor management** to review and assess AI-generated work products (documents, spreadsheets, and slide decks) for accuracy, rigor,... Show more
The average salary range is between $ 136,238 and $ 207,120 year , with the average salary hovering around $ 165,129 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.
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