Machine Learning Engineer Enterprise
Machine Learning Engineer Enterprise
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Job Description
AI is becoming vitally important in every function of our society. At Scale our mission is to accelerate the development of AI applications. For 8 years Scale has been the leading AI data foundry helping fuel the most exciting advancements in AI including generative AI defense applications and autonomous vehicles. With our recent Series F round were accelerating the usage of frontier data and models by building complex agents for enterprises around the world through our Scale Generative AI Platform (SGP).
The SGP ML team works on the front lines of this AI revolution. We interface directly with clients to build cutting edge products using the arsenal of proprietary research and resources developed at Scale. As an ML Engineer youll work with clients to train ML models to satisfy their business needs. Your work will range from training nextgeneration AI cybersecurity firewall LLMs to training foundation genomic models making predictions about lifesaving drug proteins. Having a deep curiosity about the hardest questions about LLMs will also motivate various research opportunities on how to apply ML to the forefront of enterprise data. If you are excited about shaping the future of the modern AI movement we would love to hear from you!
You will:
- Train state of the art models developed both internally and from the community in production to solve problems for our enterprise customers.
- Work with product and research teams to identify opportunities for ongoing and upcoming services.
- Explore approaches that integrate human feedback and assisted evaluation into existing product lines.
- Create state of the art techniques to integrate toolcalling into productionserving LLMs.
- Work closely with customers some of the most sophisticated ML organizations in the world to quickly prototype and build new deep learning models targeted at multimodal content understanding problems.
Ideally youd have:
- At least 13 years of model training deployment and maintenance experience in a production environment
- Strong skills in NLP LLMs and deep learning
- Solid background in algorithms data structures and objectoriented programming
- Experience working with a cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment
- Experience building products with LLMs including knowing the ins and outs of evaluation experimentation and designing solutions to get the most of the models
- PhD or Masters in Computer Science or a related field
Nice to haves:
- Experience in dealing with large scale AI problems ideally in the generativeAI field
- Demonstrated expertise in large visionlanguage models for diverse realworld applications e.g. classification detection questionanswering etc.
- Published research in areas of machine learning at major conferences (NeurIPS ICML EMNLP CVPR etc. and/or journals
- Strong highlevel programming skills (e.g. Python) frameworks and tools such as DeepSpeed Pytorch lightning kubeflow TensorFlow etc.
- Strong written and verbal communication skills to operate in a cross functional team environment
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
