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We are seeking a Machine Learning Engineer with expertise in Large Language Models (LLMs) to join the team in Europe. In this hybrid role, you will leverage advanced quantum and AI technologies to design, implement, and refine our language models, collaborating closely with cross-functional teams to integrate these models into our products. This position offers the opportunity to work on challenging projects, contribute to pioneering research, and influence the future of LLM and NLP technologies.
Machine Learning Engineer Benefits
- Performance-based variable bonus
- Signing bonus
- Work visa sponsorship (if applicable)
- Relocation package (if applicable)
- Private health insurance
- Eligibility for educational budget according to internal policy
- Flexible working hours
- Language classes and discounted lunch options
- Working in a high-paced environment on cutting-edge technologies
- Career development plan with opportunities to learn and teach
- Progressive company culture focused on employee happiness
Machine Learning Engineer Qualifications
- Master's or Ph.D. in Artificial Intelligence, Computer Science, Data Science, or related fields
- Over 5 years of practical experience with deep learning models and neural networks, preferably with Large Language Models and Transformer architectures, or computer vision models
- More than 2 years of hands-on experience with LLM and Transformer models, with proficiency in libraries such as HuggingFace Transformers, Accelerate, Datasets, etc.
- Strong mathematical foundation and expertise in deep learning algorithms and neural networks, both in training and inference
- Excellent problem-solving, debugging, performance analysis, test design, and documentation skills
- Solid understanding of GPU architectures
- Proficiency in Python programming and experience with relevant libraries (PyTorch, HuggingFace, etc.)
- Experience with cloud platforms (preferably AWS), containerization technologies (Docker), and deploying AI solutions in a cloud environment
- Excellent written and verbal communication skills, with the ability to work collaboratively in a fast-paced team environment and effectively communicate complex ideas
- Previous research publications in deep learning are advantageous
- Fluency in English
Machine Learning Engineer Responsibilities
- Develop innovative methods to compress Large Language Models using quantum-inspired technologies, addressing complex use cases across various sectors
- Conduct thorough evaluations and benchmarks of model performance, identify areas for enhancement, and fine-tune LLMs to improve accuracy, robustness, and efficiency
- Assess model strengths and weaknesses, propose improvements, and develop novel solutions to enhance performance and efficiency
- Serve as a subject matter expert in LLMs, understanding domain-specific challenges and identifying opportunities for quantum AI-driven innovation
- Maintain detailed documentation of LLM development processes, experiments, and outcomes
- Share knowledge and expertise with the team to foster a culture of continuous learning, mentor junior team members in their technical development, and assist them in enhancing their skills in LLM development
- Participate in code reviews and provide constructive feedback to team members.
- Stay abreast of the latest advancements and emerging trends in LLMs and recommend new tools and technologies as appropriate
At Goodwin Recruiting we are committed to our core values. We take our value, Dedicated to Diversity & Inclusion, very seriously and will never discriminate against a candidate or client based on any protected classes. Our clients seek qualified candidates, and that is what we deliver. A person’s age, gender, race, sexual orientation, gender identity, national origin, veteran or disability status, or arrest or conviction record has no bearing on whether he, she, or they are able to do the job. We evaluate the knowledge, skills, and abilities that meet the requirements of the position and aim to open doors and change lives. We value all people, understanding that uniqueness and diversity foster a stronger team that is innovative and brings varying perspectives to the table. We put our money where our mouth is and are proud of our efforts to identify a broad slate of candidates, with many hiring success stories to share.
JOB ID: 152882
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Brooke Sanchez