Computer hardware engineer • riverside ca
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
Introduction Visium Resources has been asked to identify qualified candidates for this Project Controls Engineer position located in Riverside, CA.This position is a contract hire opportunity which... Show more
CROWN ACE HARDWARE JURUPA VALLEY IS HIRING!.Apply now!  Crown Ace Hardware is that kind of place!  We are focused on providing world class service to our customers and our employees.We th... Show more
As the Plant Engineer, you will be responsible for overseeing the process management and engineering of our plants, collaborating closely with plant managers.You will play a key role in maintaining... Show more
Aerospace Engineer Job Duties: Contributes to the design, manufacturing, and testing of aircraft and a... Show more
Operations is at the heart of Amazon’s business.We are known for our speed, accuracy, and exceptional service.Our buildings deliver tens of thousands of products to hundreds of countries worldwide,... Show more
Identity & Access Management Dept.Qualifies for Employee Referral Bonus: No.The IAM Engineer develops and implements enterprise identity and access management (IAM) architectures and solutions rela... Show more
Telework Type: Full-Time Office/Project .Salary Range: $78,000 - $119,000 annually (salary range is based on market data; final salary offered is determined by education, experience, and qualificat... Show more
Flex is the diversified manufacturing partner of choice that helps market-leading brands design, build and deliver innovative products that improve the world.A career at Flex offers the opportunity... Show more
Build Your Career With a Premier Commercial General Contractor.This is an exciting opportunity for a motivated construction professional who wants to work on.If you're looking for more than just a ... 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
Arcadis is the world's leading company delivering sustainable design, engineering, and consultancy solutions for natural and built assets.We are more than 34,000 people, in over 30 countries, dedic... Show more
Senior Civil Engineer (PE)Location: El Monte or Fontana, CA Compensation: $150,000 to $190,000 annually, DOE Schedule: Flexible, choose from a 9/80 schedule (every other Friday off), 5/40 schedule,... Show more
Computer Programmer Job Duties: Code and test programming for software and mobile apps.Develop and deploy ... Show more
Shared Services: Desktop and Field Services (Full-time, Day Shift) -.Our mission is to continue the teaching and healing ministry of Jesus Christ.Our core values are compassion, excellence, humilit... Show more
Responsible for ensuring the success of show and event productions by performing the technical aspects related to the show(s) production.Assist in all aspects of stage operations, assist in all on-... Show more
Luxfer Gas Cylinders manufactures and distributes gas cylinders and is an operating unit of Luxfer Group based in Riverside, CA.Our products serve customers in major gas cylinder markets, including... Show more
MC: Radiation Engineering (Part-time, Day Shift) - .Our mission is to continue the teaching and healing ministry of Jesus Christ.Our core values are compassion, integrity, excellence, teamwork and ... Show more
The Mining Engineer will assist the Mining Group in all aspects of mine engineering and mining operations.At CalPortland, we’re proud to offer a comprehensive, competitive benefits package that pro... Show more
The average salary range is between $ 79,000 and $ 180,000 year , with the average salary hovering around $ 87,500 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.
