Senior ML Researcher, Applied Machine Learning (Security Clearance)

Remote Jobs; Teletrabalho; BRL 806.000 - 1.210.000; Tempo integral

Resumo da oferta

A leading technology employer in Brazil seeks an experienced individual to lead machine learning research and development. This role focuses on optimizing language models and enhancing ML performance through collaboration with cross-functional teams. Ideal candidates will have advanced degrees and deep proficiency in machine learning, particularly with GPT and BERT models. A solid understanding of Python and frameworks like TensorFlow and PyTorch is essential. Competitive salary and comprehensive benefits package offered.

Serviços

Comprehensive health care coverage

Paid maternity and paternity leave

Unlimited PTO

Professional development opportunities

Mental health benefits

Qualificações

• Proven experience in ML research with novel training methodologies.
• Demonstrated proficiency in fine‑tuning language models like GPT and BERT.
• Strong understanding of machine learning frameworks.

Responsabilidades

• Lead research and optimization of machine learning models.
• Design training protocols for Language Models.
• Collaborate to translate business needs into ML strategies.

Conhecimentos

Machine Learning research

Language models customization

TensorFlow

PyTorch

Python

Formação académica

Master's or PhD in Computer Science or related field

Descrição da oferta de emprego

Employer Industry: Artificial Intelligence Solutions

Why consider this job opportunity

• Salary up to $225,000
• Comprehensive health care coverage for you and your family, including medical, dental, and vision
• Paid maternity and paternity leave for 14 weeks at normal pay
• Unlimited PTO with management approval
• Opportunities for professional development and continued learning with educational reimbursements
• Mental health benefits through TARA Mind

What to Expect (Job Responsibilities)

• Lead research, development, and optimization of machine learning models to solve real-world business problems
• Design and implement advanced training protocols and fine‑tuning processes for Language Models (LLMs)
• Develop techniques for assessing and enhancing ML model performance, focusing on accuracy and scalability
• Create feedback systems for continuous learning and iterative model improvement
• Collaborate with product teams and domain experts to translate business needs into actionable ML strategies

What is Required (Qualifications)

• Proven experience in ML research, including designing and evaluating novel training methodologies and model architectures
• Demonstrated proficiency in customizing and fine‑tuning language models such as GPT and BERT
• Strong understanding of machine learning and NLP frameworks like TensorFlow and PyTorch
• Proficiency in Python, emphasizing efficient, maintainable, and scalable code
• A Master's or PhD in Computer Science, Machine Learning, or a related field, with a focus on ML research

How to Stand Out (Preferred Qualifications)

• Proven track record of delivering impactful ML solutions within an enterprise or production setting
• Active Secret or Top Secret Clearance

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