Machine Learning Research Engineer, New Grad
Company: Scale AI, Inc.
Location: San Francisco
Posted on: April 18, 2024
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Job Description:
The goal of the ML team at Scale is to develop machine learning
solutions advancing the company mission. Our current focus areas
are computer vision (2D/3D detection, 2D/3D segmentation, object
tracking), meta-learning (e.g. semi-supervised learning, active
learning), and Natural Language Processing. You'll be working on a
combination of deeply technical ML applications in production and
cutting edge research problems. Working at Scale will give you
opportunities to work with our wide customer base which includes
leading research teams and exposure to a wide range of problems
within machine learning.
We are building a large hybrid human-machine system in service of
ML pipelines for dozens of industry-leading customers. Our machine
learning models form the basis for Scale's expansion and future
product strategy. We currently complete billions of tasks a month,
and will continue to grow to support more complex use cases and
more advanced ML powered products.
Example Projects:
Required to have:
Ideally you'd have:
The base salary range for this full-time position in San Francisco,
CA is $144,000 - $172,800. Compensation packages at Scale include
base salary, equity, and benefits. The range displayed on each job
posting reflects the minimum and maximum target for new hire
salaries for the position, determined by work location and
additional factors, including job-related skills, experience,
interview performance, and relevant education or training. Your
recruiter can share more about the specific salary range for your
preferred location during the hiring process. Scale employees are
also granted Stock Options that are awarded upon board of director
approval. You'll also receive benefits including, but not limited
to: Comprehensive health, dental and vision coverage, retirement
benefits, a learning and development stipend, and generous PTO.
Additionally, this role may be eligible for additional benefits
such as a commuter stipend.
About Us:
At Scale, we believe that the transition from traditional software
to AI is one of the most important shifts of our time. Our mission
is to make that happen faster across every industry, and our team
is transforming how organizations build and deploy AI. Our products
power the world's most advanced LLMs, generative models, and
computer vision models. We are trusted by generative AI companies
such as OpenAI, Meta, and Microsoft, government agencies like the
U.S. Army and U.S. Air Force, and enterprises including GM and
Accenture. We are expanding our team to accelerate the development
of AI applications.
We believe that everyone should be able to bring their whole selves
to work, which is why we are proud to be an affirmative action
employer and inclusive and equal opportunity workplace. We are
committed to equal employment opportunity regardless of race,
color, ancestry, religion, sex, national origin, sexual
orientation, age, citizenship, marital status, disability status,
gender identity or Veteran status.
We are committed to working with and providing reasonable
accommodations to applicants with physical and mental disabilities.
If you need assistance and/or a reasonable accommodation in the
application or recruiting process due to a disability, please
contact us at . Please see the United States Department of Labor's
Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay
Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our
professional business purposes, including notifying you of job
opportunities that may be of interest and sharing with our
affiliates. We limit the personal data we collect to that which we
believe is appropriate and necessary to manage applicants' needs,
provide our services, and comply with applicable laws. Any
information we collect in connection with your application will be
treated in accordance with our internal policies and programs
designed to protect personal data.
Keywords: Scale AI, Inc., San Francisco , Machine Learning Research Engineer, New Grad, Engineering , San Francisco, California
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