Machine Learning Research Engineer – New Grad @ Scale AI

INACTIVE

Full-Time

Machine Learning Research Engineer – New Grad

Posted on 8/22/2023

Scale AI

1,001-5,000 employees

Develops AI platforms and data management tools

Data & Analytics

Industrial & Manufacturing

AI & Machine Learning

Entry

San Francisco, CA, USA

Required Skills

Python

JavaScript

Natural Language Processing (NLP)

Computer Vision

Requirements

Graduating Fall of 2023 or Spring of 2024 from a PhD or MS Program with a focus on Machine Learning, Deep Learning, AI, Natural Language Processing, or Computer Vision
Experience with one or more general purpose programming languages, including: Python, Javascript, or similar
Ability to speak and write in English fluently

Responsibilities

Research and develop machine learning solutions to assist humans in the loop
Develop systems that improve the creation of high quality ground truth data with speed and accuracy
Work with public Large Language models to benchmark and make custom versions for internal use cases
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

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:

Research and develop machine learning solutions to assist humans in the loop.
Develop systems that improve the creation of high quality ground truth data with speed and accuracy.
Work with public Large Language models to benchmark and make custom versions for internal use cases.
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.

Required to have:

Graduating Fall of 2023 or Spring of 2024 from a PhD or MS Program with a focus on Machine Learning, Deep Learning, AI, Natural Language Processing, or Computer Vision
Experience with one or more general purpose programming languages, including: Python, Javascript, or similar
Ability to speak and write in English fluently

Ideally you’d have:

Have had a previous internship around Machine Learning, Deep Learning, or Computer Vision
Experience as a researcher, including internships, full-time, or at a lab
Publications in top-tier journals such as NeurIPS, ICLR, CVPR, AAAI, etc. or contributions to open source projects

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.

The base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:

$144,000—$172,800 USD

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 [email protected]. 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.

Scale AI

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Website

View Company Profile

Scale AI operates the advanced Scale Generative AI Platform, designed to enhance AI application development for various clients including top technology companies, startups, and U.S. Government Agencies. The company supports developers with the Scale Data Engine, which offers comprehensive data services like collection, curation, annotation, and model optimization. This integration of strong platform support and extensive data handling tools makes Scale AI an excellent environment for tech professionals focused on cutting-edge AI solutions and continuous growth in a collaborative atmosphere.

Company Stage

Series E

Total Funding

$605.1M

Headquarters

San Francisco, California

Founded

2016

Growth & Insights

Headcount

6 month growth

↑ 42%

1 year growth

↑ 129%

2 year growth

↑ 232%

Benefits

Health, Dental & Vision Coverage - Our health plans give you the flexibility to select the right coverage for you and eligible family members through a variety of plan options.

Easy to use 401(K) - Plan and invest for the future with a 401(k) via Guideline. Scale’s 401(k) plan provides you an opportunity to defer compensation for your long-term savings.

Wellness Fund - We care about the physical, mental, and emotional wellbeing of all Scaliens. Our $100/month wellness stipend can be used for gym memberships, acupuncture, meditation apps, and so much more.

Virtual Social Activities - Being remote has not stopped us from hosting fun virtual events. From trivia night to candle making, we ensure employees are fostering connections & building strong relationships.

Learning & Development - We know how important career growth is for Scaliens, so we offer a $500/year L&D stipend to help support continued development throughout your journey.

Flexible hours allow you to work when you are most productive. You can work with your manager to best plan your daily work schedule.

Generous Paid Time Off - Enjoy time to travel or plan a staycation. We encourage employees to take time off to recharge and prevent burnout. We have a flexible PTO policy where each employee is afforded the flexibility to take planned time-off as needed.

Commuter Benefits - Set aside pre-tax dollars to use on qualified transportation expenses to help ease your commute.

Parental Leave - Balancing work and family is essential, and Scale understands the importance of having adequate leave policies in place to promote a healthy home and work life.

INACTIVE