Senior Machine Learning Engineer

Hybrid, Permanent
America, San Francisco
Posted 6 months ago

Senior Machine Learning Engineer | Hybrid – San Francisco (MTV) | $150,000 – $250,000

I’m currently working with a conversational Ai platform for enterprises, leading the way in enabling employees to engage with and manage enterprise systems using natural language. They are in need of talented Machine learning engineers, with innovative mindsets. This will be a Hybrid role, with their office being based in San Fran.

Role responsibilities:

  • Create, construct, and enhance scalable machine learning infrastructure to facilitate the training, assessment, and implementation of extensive language models.
  • Develop frameworks to automate multiple stages within various machine learning processes.
  • Work in partnership with cross-functional teams of engineers, data analysts, machine learning specialists, and product developers to establish novel functionalities.
  • Utilize your expertise to champion best practices in both machine learning and data engineering.

Skills required:

  • Over 2 years of professional exposure in Machine Learning, Infrastructure, or related domains.
  • Developing complete machine-learning systems.
  • Artificial intelligence experience
  • Proficiency in constructing scalable microservices and ETL pipelines.
  • Highly skilled in Python, with familiarity with high-performance languages like C++ or GoLang.
  • Hands-on experience with deep learning frameworks such as PyTorch or Huggingface.
  • Hold a Bachelor’s degree in Computer Science, Computer Engineering, Mathematics, or a comparable field.
  • Passionate about staying updated with research publications within the machine learning and software engineering sectors.

Benefits:

  • Salary: $150,000 – $250,000
  • 401k
  • Dental/ Health/ Vision care
  • Equity ( IPO in 2-3 years)
  • Relocation package
  • Sponsorship available

 

If you believe you tick some of these boxes, then please feel free to apply and you be contacted shortly.

Thanks,

Chiraze

 

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