Google logo

Senior Research Engineer

Google

NEW YORK, NY · HybridFull-time$174–252K/yrSeen 5 days agoSeen in employer's feed 5 days ago

Most applications go out cold — see where you stand first. No sign-up to start.

Watch jobs like this.

At a glance

Compensation
$174–252K/yr
Location
NEW YORK, NYHybrid
Schedule
Full-time
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Requirements

Credentials this posting asks for.

Bachelor's degree

Job overview

The Senior Research Engineer applies research ideas to high-impact problems, translating research into practical machine learning systems. The role involves developing scalable software libraries, leading long-term research projects, training and evaluating neural models and reinforcement learning algorithms, and communicating results. It reports to Google’s New York office and may allow a hybrid schedule under Google policy.

Skills & qualifications

RequiredNice to have

Skills

Applied ResearchScientific Publication SubmissionTensorFlowJAXPyTorchMachine Learning TheoryResearch Agenda Leadership

Qualifications

Bachelor's in Computer Science, Engineering, Computer Information Systems, Mathematics, Physics, or Related Field2 Years of Research Engineer Experience

Full job description

Rate of Pay: The US base salary range for this full-time position is $174,000 - $252,000 + 15% bonus target + equity + benefits determined by role, level, and location. Individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Learn more about (benefits at Google) (https://www.google.com/about/careers/applications/benefits/). Duties: Apply research ideas to high-impact problems by prototyping, curating datasets, and deploying optimized machine learning systems; Architect and implement scalable software libraries and high-quality code in Python or C++ to translate complex research into practical applications; Drive high-stake, long-term research projects from ideation to completion by scoping project needs, managing resources, and solving ambiguous problems; Train, evaluate, and iterate on deep neural models and reinforcement learning algorithms to continually improve agent performance and achieve research objectives; Influence engineering best practices by championing code reviews, mentoring team members, and facilitating clear communication between research and engineering; and Communicate research developments, experimental results, and project status clearly to internal teams and the broader external community. Position reports to the Google New York, NY office & may allow for a hybrid schedule per Google policy. Requirements: Bachelors degree in Computer Science, Engineering, Computer Information Systems, Mathematics, Physics, or a related field and 2 years of experience in the job offered or in a Research Engineer-related occupation. Position requires 2 years of experience in the following: * Applied research from proof-of-concept to implementation; * Scientific publication submission; * Development with Tensorflow, JAX, or PyTorch machine learning frameworks; * Machine learning theory application; and * Leading a research agenda. Contact: Apply online at https://goo.gle/4z1sU7R

Similar jobs, posted recently

Open roles like this one, listed in the last 30 days.

You've read the whole posting — now see how you match it.