Machine Learning Technology Specialist, BCG Attorney Search, Washington, DC


BCG Attorney Search -
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Washington, DC, US
N/A

Machine Learning Technology Specialist

Job description

A law firm is seeking a highly qualified and experienced Machine Learning Technology Specialist to join their team in Washington, D.C. The successful candidate will be responsible for drafting patent applications, corresponding with patent offices, advising patent litigation teams, and conducting inventor interviews. The role requires a strong background in Computer Science or Electrical Engineering, advanced knowledge of Machine Learning, and a minimum of 2 years of patent prosecution experience.Draft patent applications for innovative clients, providing detailed descriptions and figures.Correspond with patent offices regarding pending patent applications, ensuring accurate and timely communication.Advise patent litigation teams based on technical and scientific expertise in the field of Machine Learning.Conduct interviews with inventors to gather information about new ideas and inventions.Requirements:Hold an advanced degree in Computer Science or Electrical Engineering (preferred).Possess extensive experience in Machine Learning, including neural networks (NN) and deep learning algorithms.Demonstrate proficiency in implementing Machine Learning and Neural Network concepts in hardware.Have a minimum of 2 years of patent prosecution experience.Superior writing skills and excellent academic credentials are a must.Registration before the U.S. Patent & Trademark Office is preferred.Job Location: Washington, D.C.Benefits Offered:Flexible hybrid work environment.Award-winning retirement and profit-sharing plans with employer contribution.Family-friendly atmosphere with back-up childcare and health and wellness initiatives.Competitive pay with a rich benefits package, including comprehensive medical, vision, and dental coverage.Company infoBCG Attorney Search1629 K ST NW, Suite 300WashingtonDistrict of ColumbiaUnited States 20006Phone :

(202) ###-####Fax :

(213) ###-####

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Full-time 2024-07-06
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N/A
USD

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