Top Tweets for #deepLearning
LLM Research Scientist (Pre-training & Computer Vision & Adversarial Robustness) $100-$120 per hour
Hourly contract
Remote
New opportunity
#LLM #LargeLanguageModels #MachineLearning #AIResearch #ResearchScientist #DeepLearning #LLMPretraining #ComputerVision #AdversarialRobustness #AdversarialMachineLearning #GenerativeAI #ModelTraining #PyTorch #JAX #ModelCompression #AIAlignment #RLHF #MLOps #RemoteJobs #OpenToWork
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.
We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.
Contract and Payment Terms
You will be engaged as an independent contractor.
This is a fully remote role that can be completed on your own schedule.
Projects can be extended, shortened, or concluded early depending on needs and performance.
Your work at Mercor will not involve access to confidential or proprietary information from any employer, client, or institution.
Payments are weekly on Stripe or Wise based on services rendered.
Please note: We are unable to support H1-B or STEM OPT candidates at this time.
About Mercor
Mercor partners with leading AI labs and enterprises to train frontier models using human expertise. You will work on projects that focus on training and enhancing AI systems. You will be paid competitively, collaborate with leading researchers, and help shape the next generation of AI systems in your area of expertise.
https://t.co/rXNrLdTxQI
7/
Everything is open: code, docs, and a changelog of each step. Issues and PRs welcome.
https://t.co/9UJfT6zgJI
#NaviLM #MachineLearning #DeepLearning #OpenSource
📢Check this paper titled "Remaining Useful Life Prediction for Aircraft Engines under High-Pressure Compressor Degradation Faults Based on FC-AMSLSTM".
➡️Article available here:
https://t.co/PhgaiZ6m6V
#AircraftEngine #RemainingUsefulLife #FaultClassification #DeepLearning
@KavianCoin Let's Go
2bB1CNmhoXwEdxnDuSgiLBJ6wJMNMBwzdKz1Bu3M3RfL
#KAV #Solana #ArtificialIntelligence #Python #MachineLearning #DeepLearning #AIEducation #Web3 #AISpecialist #AIEngineer #LearnAI
https://t.co/t8nyPz0NR8
Machine Learning Super Intelligence.
Make offer via @Spaceship.
#MLSI #AI #MachineLearning #ArtificialIntelligence #SuperIntelligence #DeepLearning #TechDomains #PremiumDomains #DomainForSale #DomainInvesting #Startup #Innovation #DigitalAssets
📢 #highlycited paper
📚 Disaster Recognition and Classification Based on Improved ResNet-50 Neural Network
🔗 https://t.co/1GltqAndsJ
👨🔬 by Lei Wen, Zikai Xiao, Xiaoting Xu, and Bin Liu
🏫 Xiangtan University
#disasterrecognition #ResNet50 #deeplearning
Deep Learning for Energy Forecasting: From RNNs to Transformers: Building Production-Ready Forecasters (Power Systems)
📕 Get Now: https://t.co/n4kBbHadzc
#EnergyForecasting ⚡ | #DeepLearning 🧠 | #TimeSeriesForecasting 📈 | #TransformersAI 🤖 | #PowerSystems 🔋
Introduction to Deep Learning: Neural Networks, Large Language Models and Agentic AI (Undergraduate Topics in Computer Science)
📕 Get Now: https://t.co/z0W2AhxRWO
#DeepLearning 🧠 | #NeuralNetworks 🔗 | #LargeLanguageModels 🤖 | #AgenticAI 🚀 | #ComputerScience 💻
Advanced Concepts in Transformers for Deep Learning
📕 Get Now: https://t.co/XrUAkbGJnq
#TransformersAI 🤖 | #DeepLearning 🧠 | #NeuralNetworks 🔗 | #AttentionMechanism 🎯 | #AdvancedAI 🚀
Theoretical Foundations of Deep Learning
Hardcover: https://t.co/LC4VSoi72j
#DeepLearning 🧠 | #MachineLearning 🤖 | #AITheory 📘 | #NeuralNetworks 🔗 | #MathematicalAI 📐
Modern Machine Learning and Transformers: with AI Applications in Engineering, the Medical Sciences, and Beyond
📕 Get Now: https://t.co/Zoa1Vly8VW
#MachineLearning 🤖 | #TransformersAI 🧠 | #ArtificialIntelligence 🚀 | #AIEngineering ⚙️ | #DeepLearning 💻
Bayes, AI, and Deep Learning: Foundations of Data Science (Chapman & Hall/CRC Texts in Statistical Science)
📕 Get Now: https://t.co/uDna0ftIps
#BayesianStatistics 📊 | #ArtificialIntelligence 🤖 | #DeepLearning 🧠 | #DataScience 🔬 | #ProbabilityTheory 🎯
Deep Learning (Adaptive Computation and Machine Learning series)
📕 Get Now: https://t.co/M70pKOSGRs
#DeepLearning 🧠 | #MachineLearning 🤖 | #NeuralNetworks 🔗 | #AIResearch ��� | #AdaptiveComputation ⚙️
📰 FLUX.1-dev semantic-first schedule cuts GRPO training time 41%
The semantic-first schedule confines GRPO and SDE exploration to a late denoising window, cutting FLUX.1...
Read more → https://t.co/FepqIwZu60
#AIIndustry #ComputerVision #DeepLearning #ReinforcementLearning
📰 Goal2Pixel Cuts VLM Calls 6x on R2R-CE Vision-Language Navigation
Goal2Pixel reframes VLN-CE as pixel grounding, hitting 54.1% success on R2R-CE Val-Unseen with six times fewer VLM calls...
Read more → https://t.co/90bqefTgD9
#AI #ComputerVision #DeepLearning #Multimodal
📰 IBCD Achieves Single-Step Bidirectional Unpaired Image Translation
IBCD performs bidirectional unpaired image translation in one step without adversarial loss, also extending to...
Read more → https://t.co/ZhJ6ZvNaKJ
#AI #ComputerVision #DeepLearning #InferenceOptimization
📰 Qwen2.5-VL Adversarial Robustness Determined by Language Decoder
PGD attack on Qwen2.5-VL shows decoder prior, not visual encoder, drives VLM robustness, shifting attack defenses toward...
Read more → https://t.co/LCotHlc7bA
#AI #AiSafety #DeepLearning #ModelArchitecture
Can modern CNNs still compete with Vision Transformers?
In my latest article, I explore ConvNeXt’s architecture, its trade-offs, and how it performs in practical experiments.
Read it on @Towards_AI
https://t.co/1ZW5QzxucO
#DeepLearning #ComputerVision #ConvNeXt #MachineLearning
Last Seen Hashtags on Sotwe
รับงานสระบุรี
Seen from Thailand
何の脈絡もない画像を貼って朝のあいさつ
Seen from Japan
etek altı
Seen from Germany
zelal
Seen from Germany
bbw()************************************* filter:native_video
Seen from France
sex #snapchat
Seen from Switzerland
hijab #olgun
Seen from Turkey
女M
Seen from Vietnam
น้ำหีแตก
Seen from Thailand
wifedat
Seen from Indonesia
Trends for you
Most Popular Users
Elon Musk 
@elonmusk
241.5M followers
Barack Obama
@barackobama
118.8M followers
Cristiano Ronaldo
@cristiano
114.5M followers
Donald J. Trump
@realdonaldtrump
111.9M followers
Narendra Modi
@narendramodi
107.1M followers
Rihanna
@rihanna
98.7M followers
NASA
@nasa
92.3M followers
Justin Bieber
@justinbieber
91.8M followers
KATY PERRY
@katyperry
90M followers
Taylor Swift
@taylorswift13
84M followers
Lady Gaga
@ladygaga
75.5M followers
Virat Kohli
@imvkohli
73.5M followers
Kim Kardashian
@kimkardashian
70.9M followers
YouTube
@youtube
68.8M followers
Neymar Jr
@neymarjr
66.5M followers
Bill Gates
@billgates
65.2M followers
Selena Gomez
@selenagomez
63.1M followers
The Ellen Show
@theellenshow
62.2M followers
CNN
@cnn
61.7M followers
X
@x
60.7M followers