Senior Applied Scientist - ML/NLP, Production

Amazon Inc.; San Francisco (CA); Híbrido; USD 192.000 - 260.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Sign-on bonus

Restricted stock units

Medical, dental and vision benefits

Commuter benefits

Descripción de la vacante

Twitch Interactive, Inc. is seeking an Applied Scientist III in San Francisco to design, develop, and deploy data-driven ML and NLP models.

You will work across experimentation, production deployment, and collaboration with business teams to create scalable solutions. Qualifications include a Master’s degree (or equivalent) with 2+ years of related research or work experience, strong programming skills in Java/C++/Python, and the ability to mentor junior engineers.

Formación

• Master’s degree or foreign equivalent in Computer Science, Machine Learning, Engineering; two years of related experience.
• Bachelor’s degree or foreign equivalent in Computer Science, Machine Learning, Engineering; five years of related experience.
• Proficiency in Java, C++, Python; experience with ML model development and evaluation.

Responsabilidades

• Design, develop, evaluate, deploy and update data-driven ML/NL models and solutions.
• Build and deploy ML models end-to-end in production environments.
• Run experiments and analyze results to drive business goals.
• Mentor junior engineers and scientists.

Educación

Master's degree or foreign equivalent in Computer Science, Machine Learning, Engineering

Bachelor's degree or foreign equivalent in Computer Science, Machine Learning, Engineering

Herramientas

Java

C++

Python

Descripción del empleo

Job ID: 10514285 | Twitch Interactive, Inc. - D48

Employer: Twitch Interactive, Inc.
Position: Applied Scientist III - AMZ27946.1
Location: San Francisco, CA

Multiple Positions Available:

Participate in the design, development, evaluation, deployment and updating of data-driven models and analytical solutions for machine learning (ML) and/or natural language (NL) applications. Develop and/or apply statistical modeling techniques (e.g. Bayesian models and deep neural networks), optimization methods, and other ML techniques to different applications in business and engineering. Routinely build and deploy ML models on available data, and run and analyze experiments in a production environment. Identify new opportunities for research in order to meet business goals. Research and implement novel ML and statistical approaches to add value to the business. Mentor junior engineers and scientists.

(40 hours / week, 8:00am-5:00pm, Salary Range $192200 - $260000)

Amazon.com is an Equal Opportunity – Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation

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Basic Qualifications

Master’s degree or foreign equivalent in Computer Science, Machine Learning, Engineering, or a related field and two years of research or work experience in the job offered, or as a Research Scientist, Research Assistant, Software Engineer, or a related occupation. Employer will accept a Bachelor’s degree or foreign equivalent in Computer Science, Machine Learning, Engineering, or a related field and five years of research or work experience in the job offered or a related occupation as equivalent to the Master’s degree and two years of research or work experience. Must have one year of research or work experience in the following skill(s): programming in Java, C++, Python, or equivalent programming language; and conducting the analysis and development of various supervised and unsupervised machine learning models for moderately complex projects in business, science, or engineering. Telecommuting may be permitted.

The pay range for this position in San Francisco, CA is $192200 - $260000 (yr); however, base pay offered may vary depending on job-related knowledge, skills, and experience. A sign-on bonus and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. This information is provided by California Equal Pay Act. Base pay information is based on market location. Applicants should apply via Amazon's internal or external careers site.

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Preferred Qualifications

All applicants must meet all the above listed requirements.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Veterans, military spouses, and people with disabilities are encouraged to apply.