Machine Learning Research Scientist

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🔥 1 minute ago

🗽 New York – Remote

🗽 New York – Remote

💵 $95 - $115 / hour

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

🧬 Research Scientist

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24-MAG

WebsiteLinkedInAll Job Openings

2 - 10 employees

🤝 B2B

💼 Consulting

B2B • Consulting

24-MAG is a commercial strategy and execution firm that helps B2B organizations design and implement systems, workflows, and operating rhythms for sales, client management, and cross-functional projects. They focus on transforming scattered processes into aligned, measurable, and scalable commercial functions—covering pipeline structure, account management frameworks, and operational discipline for teams seeking efficient, intentional growth.

📋 Description

• Train image classifiers and generative image models from scratch • Fine-tune and post-train open-weight language models • Design and execute empirical machine learning experiments • Diagnose optimisation, convergence, data-quality, and training-stability issues • Develop approaches that maximise performance under limited data, compute, or model-size budgets • Train computer vision and generative models, including diffusion models, GANs, VAEs, and flow-based models • Evaluate generative models using metrics such as FID • Improve sample quality while controlling training cost and parameter count • Develop models robust to adversarial inputs and evaluate robust accuracy • Apply adversarial training, quantisation, pruning, knowledge distillation, and related model-compression techniques • Conduct supervised fine-tuning and preference optimisation using methods such as DPO, RLHF, or RLAIF • Develop training datasets using synthetic generation, weak supervision, noisy supervision, or rejection sampling • Improve multi-turn conversational behaviour, calibrated confidence, and responses to corrections • Train multilingual and low-resource language models and develop tokenisation and sampling strategies • Explore cross-lingual transfer and improve performance in data-constrained language settings • Collaborate with experienced AI researchers on challenging technical projects • Conduct research across robustness, efficiency, generative modelling, post-training, multilingual modelling, and evaluation

🎯 Requirements

• At least 3 years of machine learning research experience, including qualifying PhD research • Hands-on experience training deep learning models end-to-end • Strong proficiency with PyTorch, JAX, TensorFlow, or comparable machine learning frameworks • Deep expertise in at least one relevant area: adversarial robustness, computer vision, generative modelling, LLM post-training, or multilingual pre-training • Experience designing and running rigorous empirical experiments • Strong understanding of optimisation, model evaluation, and experimental methodology • Ability to diagnose complex model-training and performance issues • Strong technical writing and research communication skills • A degree in computer science, machine learning, artificial intelligence, mathematics, statistics, engineering, or a related technical field is highly relevant • PhD research in machine learning or a closely related area may count toward the professional experience requirement • Equivalent research strength may be demonstrated through significant industry work, publications, or impactful open-source contributions • Nice-to-have experience with scaling laws, training efficiency, curriculum learning, benchmarks, contamination detection, uncertainty estimation, synthetic data, or data augmentation • Publications in recognised machine learning or AI venues are advantageous • Experience at a major AI, technology, or research organisation is advantageous • Significant open-source machine learning contributions are advantageous

🏖️ Benefits

• Flexible scheduling • Competitive hourly compensation of $95–$115 per hour • Weekly payments via Stripe or Wise • Flexible project-based work • Projects may be extended, shortened, or adjusted depending on scope and performance