Machine Learning Data Scientist

Location: San Ramon, CA, USA - On-site

Hiring Company Name: ACHNET Demo

Hiring Company Location: San Ramon, CA, USA

Job Type: Full-time

Experience Level: Mid-Senior Level (5-8 years)

Job Overview:

ACHNET Demo is seeking a highly skilled and motivated Machine Learning Data Scientist to join our dynamic team. This role will focus on developing and implementing machine learning models, particularly within the semiconductor domain. The ideal candidate will have a strong background in data science, deep learning, and natural language processing (NLP), with experience in large language models (LLMs). This position offers the opportunity to contribute to cutting-edge projects and make a significant impact on our technological advancements.

Key Responsibilities:

• Develop and implement machine learning models for various applications within the semiconductor industry.
• Design and execute experiments, analyze data, and interpret results to provide actionable insights.
• Apply deep learning techniques, including LLMs, to solve complex problems.
• Collaborate with cross-functional teams to identify opportunities for machine learning applications.
• Stay up-to-date with the latest advancements in machine learning and related fields.
• Prepare and present technical reports and presentations to both technical and non-technical audiences.
• Contribute to the development of best practices and standards for machine learning projects.

Educational Qualifications:

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related field.

Must-Have Skills:

• Strong proficiency in Python and relevant machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Proven experience in developing and deploying machine learning models.
• Deep understanding of deep learning concepts and architectures.
• Experience with LLMs and their applications.
• Excellent analytical, problem-solving, and communication skills.

Good-to-Have Skills:

• Experience in the semiconductor industry.
• Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP).
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Experience with data preprocessing and feature engineering techniques.

Pay Rate/Salary:

Commensurate with experience.

Number of Openings:

1