Embedded Software Test Developer supporting software quality team at General Motors. Aiding in test script development, system validation, and collaborating on product testing.
About the role
- Join a Silicon Valley startup to develop ML/NLP models enhancing AI capabilities. Collaborate and innovate in a European tech hub with global impact.
Responsibilities
- Collaborate with the product managers to clearly understand and refine product requirements, aligning them seamlessly with our business goals
- Innovate in the field of ML/LLM/NLP by building various models by designing, prototyping, and testing them
- Build our foundation models using large-scale historical data and data generated by our services
- Partner with production teams to construct and implement scalable, efficient, and dependable ML/NLP systems and pipelines
- Play a key role in enhancing ML productivity, focusing on automation, data refinement, code efficiency, and procedural improvements
- Contribute to the bleeding edge of AI and drive innovation forward, staying ahead of the curve
Requirements
- Advanced degree (Master’s or PhD) in Computer Science or related technical discipline
- At least 3 years of professional experience in software development with an emphasis on machine learning and natural language processing
- Demonstrable experience in creating, implementing, and maintaining ML/NLP models and infrastructures
- Willingness to roll up sleeves and get intimate with the data
- Knowledge of Large Language Models (LLMs) including experience in training and fine-tuning LLMs
- Background in full-stack development will be considered favorably
- Proficiency in programming languages like Python, Go, and in ML/NLP frameworks including PyTorch, TensorFlow, and Transformers
- Acquaintance with cloud computing environments such as AWS, Azure, or GCP
- Exceptional problem-solving abilities and effective communication and teamwork skills.
Benefits
- Health insurance
- Flexible work arrangements
- Professional development
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