Machine Learning Engineer Public Sector
Machine Learning Engineer Public Sector
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$ 224400 - 293250
1 Vacancy
Job Description
The goal of a Machine Learning Engineer at Scale is to bring techniques in the fields of computer vision deep learning and deep reinforcement learning or natural language processing into a production environment to improve Scales products and customer experience. Our research engineers take advantage of our unique access to massive datasets to deliver improvements to our customers.
We are building a large hybrid humanmachine system in service of ML pipelines for Federal Government customers. We currently complete millions of tasks a month and will grow to complete billions of tasks monthly.
You will:
Take state of the art models developed internally and from the community use them in production to solve problems for our customers and taskers.
Take models currently in production identify areas for improvement improve them using retraining and hyperparameter searches then deploy without regressing on core model characteristics
Work with product and research teams to identify opportunities for improvement in our current product line and for enabling upcoming product lines
Work with massive datasets to develop both generic models as well as fine tune models for specific products
Build the scalable ML platform to automate our ML service
- Be a representative for how to apply machine learning and related techniques throughout the engineering and product organization
Be able and willing to multitask and learn new technologies quickly
- This role will require an active security clearance or the ability to obtain a security clearance.
Ideally Youd Have:
Extensive experience using computer vision deep learning and deep reinforcement Learning or natural language processing in a production environment
Solid background in algorithms data structures and objectoriented programming
Strong programing skills in Python or Javascript experience in Tensorflow or PyTorch
Nice to Haves:
Graduate degree in Computer Science Machine Learning or Artificial Intelligence specialization
Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment
Experience with generative AI models
Compensation packages at Scale for eligible roles 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 jobrelated skills experience interview performance and relevant education or training. Scale employees in eligible roles are also granted equity based compensation subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process and confirm whether the hired role will be eligible for equity grant. Youll 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.
Please reference the job postings subtitle for where this position will be located. For pay transparency purposes the base salary range for this fulltime position in the locations of San Francisco New York Seattle is:
$224400 $293250 USD
Please reference the job postings subtitle for where this position will be located. For pay transparency purposes the base salary range for this fulltime position in the locations of Washington DC Texas Colorado is:
$201960 $263925 USD
PLEASE NOTE:Our policy requires a 90day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
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 worlds 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 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 Labors Know Your Rights poster for additional information.
We comply with the United States Department of Labors 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. Please see our for additional information.
Employment Type
Full Time
