Machine Learning Engineer - San Mateo, CA

  • Sector: ConSol US Information Technology
  • Contact: Meghan Gibson
  • Start Date: ASAP
  • Client: ConSol Partners
  • Location: Atherton
  • Salary: US$90000.000 - US$150000.00 per annum + 10% bonus,equity,benefits
  • Expiry Date: 12 October 2022
  • Job Ref: BBBH397816_1657842486
  • Contact Email: meghan.gibson@consolpartners.com

Machine Learning Engineer - San Mateo, CA - Rapidly Growing Biotech Company , Hybrid Work, Base + Equity + Annual Bonus

The Company

The company is a Bioinformatics driven organization focusing on early stage disease detection, utilizing machine learning within genomics and proteomics. A well-funded start-up spin off from an established business providing opportunity to work along some of the best individuals in this field. Their leadership team is compromised of Stanford/MIT graduates and GoogleX researchers.

The role

Looking for a Machine Learning Engineer with solid software engineering fundamentals, eager to work in the biotech sector, where you will be utilizing your python skills and Machine Learning knowledge to build pipelines and infrastructure around ML algorithms.

The role will give you a great opportunity for one-on-one training/mentorship and a chance to learn or strengthen your skills in DevOps/ MLOps, cloud computing/infrastructure, continuous integration and deployment systems, and more!

The Individual

As the ideal candidate you will have the following skills and experience:

  • BS or MS in Computer Science, Engineering, Data Science, or similar field
  • Solid programming skills in python
  • Must have some understanding of Machine learning basics and scikit-learn

APPLY NOW - INTERVIEWING IMMEDIATELY

Location: San Mateo, CA

Salary: Excellent package on offer including competitive base salary, bonus, and equity.

Contact Details:

ConSol Partners

We are a leading consultancy for expansion in communications, content and emerging technology markets. We work in collaboration with growing organizations on exclusive assignments to find them the best talent in the industry.