Machine Learning Engineer

9 Hours ago • All levels • $224,400 PA - $293,250 PA

Job Summary

Job Description

As a Machine Learning Engineer at Scale, you'll be crucial in enhancing Scale's products and customer experience by implementing computer vision, deep learning, deep reinforcement learning, or natural language processing in a production environment. You will be involved in deploying and refining existing models, identifying areas for improvement, and collaborating with product and research teams to enhance the current product line. This includes working with large datasets, developing and fine-tuning models for specific products, and building a scalable ML platform to automate ML services. The role involves multitasking, quickly learning new technologies, and potentially requires a security clearance.

Must have:

Experience with computer vision or NLP in production.
Strong background in algorithms and programming in Python or Javascript.

Good to have:

Graduate degree in CS, ML, or AI specialization.
Experience with cloud tech like AWS or GCP.
Experience with generative AI models.

10 skills required

10 skills required for this role

Add these skills to join the top 1% applicants for this job

tensorflow

javascript

algorithms

reinforcement-learning

computer-vision

deep-learning

aws

data-structures

python

pytorch

Job Details

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 Scale's 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 human-machine 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 multi-task and learn new technologies quickly
This role will require an active security clearance or the ability to obtain a security clearance.

Ideally You’d 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 object-oriented 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