Computer assembler • santa clara 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
Medical Device R&D Build Assembler.Pay $28-32 6 month+ assignment.Onsite in Campbell, CA must have UV cure adhesive bonding experience and prior experience with medical devices built in a clean roo... Show more
Medical Device R&D Build Assembler.Pay $28-32 6 month+ assignment.Onsite in Campbell, CA must have UV cure adhesive bonding experience and prior experience with medical devices built in a clean roo... Show more
Sub- Assembly - Assembly Server Rack.Cable Prep - Cable Label - Rack Cable.Follows procedures, instructions, and sequence of operations in unpacking,.Moves materials between production, warehouse, ... Show more
Johnson Service Group is looking for an Assembler with THT touch up and rework experience for our client in San Jose.This person will be responsible for setting up production lines, operating vario... Show more
For over three decades, Cirtec Medical has been a leading outsourcing partner for complex medical devices.We specialize in providing comprehensive solutions for Class II and III devices, from desig... Show more
Computer Network Support Specialist (Journeyman)Moffett Federal Airfield, CAAt IPT Associates (IPTA), we enjoy solving real-world problems with technology.We work closely with our customers, teamma... Show more
Premier IP Boutique Firm with Cravath level compensation.Among the leaders in every category of Patent Law and PTAB Activity.Awarded "Outstanding Workplace Award" for a positive and healthy firm cu... Show more
Join our team as a Assembler, where you will assist with packaging, labeling, and preparing items for delivery, learn company products and services to better assist others, and follow schedules and... Show more
Monday - Friday, 8:00 am-5:00 pm.At least 3 years of Electronic Assembling experience.We are excited to share a new opportunity for an Electronic Assembler located in San Jose! This position is hig... Show more
Academic Department Manager - Computer Science and Engineering.Under the direction of the Assistant Dean of Faculty Affairs, the Department Manager provides administrative support to the Assistant ... 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
Kreyco (formerly known as Language Learning Network) is a nationwide organization that specializes in preK-12 education.We support students of all kinds by building strong partnerships between scho... Show more
Efficient is developing the world's most energy-efficient general-purpose computer processor.Efficient's patented technology uses 100x less energy than state of the art commercially available ultra... Show more
No prior AI experience is required.Create graphics, layouts, interfaces, wireframes, and prototypes.Design UI/UX solutions and systems using.Apply strong typography, layout, and visual hierarchy pr... Show more
Palona is building AI for the physical world, starting with restaurants.Understanding a busy restaurant means making sense of people, objects, activities, and events as they change over time, despi... Show more
Assembler Job Duties: Prepares work to be accomplished by studying assembly instruc... Show more
Title: Workday Extend Developer </p> <p>Location: Mountain view, CA</p> <ul> <li>Custom Application & Workflow Development (HRSS Tools Consolidation)</li> &l... Show more
PCBA Mechanical Assembler - Day Shift (NVD) Locations:.San Jose (NVD) Business Units: CESBG Job Classification: Non-Exempt Summary As a Mechanical Assembler you will be responsible for the assembly... Show more
Technical Account Manager (TAM) is responsible for post-sales ownership and success of assigned Small and Medium Business (SMB) customer accounts.Acting as the primary point of contact and escalati... Show more
The average salary range is between $ 27,300 and $ 41,600 year , with the average salary hovering around $ 33,150 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.
