Senior Machine Learning Engineer

Zürich, Switzerland
Full time
Office
Compensation is not specified
Role
Machine Learning Engineer
Description

Employment Type: Full-Time
Location: Zurich, on-site (hybrid)

We are looking for a highly skilled professional to join our team as a Senior Machine Learning Engineer in Zurich. The role will involve optimizing large language models, integrating retrieval-augmented generation, and working on multi-agent architectures. The ideal candidate will drive advancements in our LLM-based solutions through research, innovative designs, implementation, evaluation, and optimizations. Collaboration with other team members will be key to enhancing code generation using LLMs in our products.

Responsibilities:

  • Design various LLM training datasets to enhance model accuracy and generalization.
  • Lead post-training optimization by incorporating curated content for tailored pipelines.
  • Develop processes for creating and validating high-quality LLM training data and synthetic data generation.
  • Establish evaluative frameworks to assess LLM performance systematically.
  • Architect, refine, and evaluate engines for retrieval-augmented generation to improve accuracy and speed.
  • Utilize multi-agent architectures and prompt engineering for optimal LLM solutions.
  • Conduct experiments and implement latest research findings in LLMs for impactful results.
  • Collaborate across teams to align solutions with business objectives.
  • Implement high-quality LLM components and integrations with detailed documentation.

Requirements:

  • Degree in Computer Science, Data Science, or a related field.
  • At least 2 years of professional experience in large language models and machine learning frameworks.
  • Proficiency in Python and experience with ML frameworks like PyTorch or TensorFlow.
  • Ability to work effectively in cross-functional teams.
  • Strong analytical skills and a practical approach to solutions.

Preferred Qualifications:

  • Extensive experience with various LLM architectures.
  • Background in using LLMs for code generation, particularly in low-resource languages.
  • Understanding of reinforcement learning concepts.
  • Hands-on experience with annotation tools and dataset management.
  • Knowledge of bias and fairness issues in AI.
  • Proficiency in TypeScript.

Established in 2016, DFINITY is a leading contributor to the Internet Computer Protocol (ICP), promoting secure blockchain technology. Join our diverse team of experts working towards shaping the future of the internet and web3.

All qualified applicants will receive consideration for employment based on merit, without regard to race, color, religion, gender, sexual orientation, national origin, genetics, disability, age, or veteran status.

Skills Required
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Dfinity
Company size
Not specified
Location
United States
Description
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