Contribute to key research projects and collaborate on publications, while also identifying and delivering new open-source products and features to support state-of-the-art research in Natural Language Processing (NLP).

Duties and responsibilities include:
● Apply knowledge of modern deep learning and natural language processing (NLP) techniques to identify which products and features would help the AllenNLP team conduct state-of-the-art research.
● Drive adoption of our software engineering tools for deep learning (AllenNLP, Tango, etc.) across the company and in the broader community.
● Apply experience as an author on key publications with engineers and users to make technical decisions for the library.
● Apply strong software engineering skills, particularly around library design, building performant systems, and debugging to establish milestones and coordinate releases of new versions of our software tools for research.
● Apply experience with Python and PyTorch to implement new models and abstractions keep our software concurrent with (and pushing forward) the state of the art.
● Establish and implement best practices for measuring model complexity in a reproducible way.

MINIMUM REQUIREMENTS:
Education: A master’s degree (U.S. or foreign degree equivalent) in computer science, computer engineering, or a closely related field.
Experience: Two years of professional experience in computer engineering, software development, or related occupation.

SKILLS/SPECIAL REQUIREMENTS:
Experience must include two years of experience with each of the following:
● Building high performance applications with Python;
● Natural language processing;
● Machine learning;
● Deep learning packages, including PyTorch and Tensorflow;
● Building web interfaces to demonstrate model capabilities; and
● Library design, including building performant systems and debugging.
Experience may be gained concurrently.

Basic pay is $148,590 to $228,830 annually for full-time employment.

Standard Benefits include:
• Team members and their families are covered by medical, dental, vision, basic life insurance, basic accidental death and dismemberment insurance, short-term disability,
long-term disability, and an employee assistance program.
• Team members are able to enroll in our voluntary life insurance program, our voluntary accidental death and dismemberment program, our health savings account plan, our healthcare reimbursement arrangement plan, and our health care and dependent care
flexible spending account plans.
• Team members are able to enroll in our company’s 401k plan.
• Team members will receive $125 per month to assist with commuting or internet expenses and are eligible to receive up to $150 reimbursement for health and wellbeing expenses per month.
• Team members will also receive up to ten sick days per year, up to seven personal days per year, up to 20 vacation days per year and twelve paid holidays throughout the calendar year.

• Team members will be able to receive annual bonuses and can participate in the long-term incentive plan.

Allen Institute for Artificial Intelligence’s Employee Referral Program applies to this position.

AI2 Referral Bonus Policy
At AI2, we're always looking for the brightest talent, with the right skills, who complement our culture. It's not always an easy find—but who better to refer great candidates than current team members?!
Who stands out in your network as the next great AI2 team member? Check out AI2’s open positions and submit your referrals today.
How does the program work? You can refer a candidate for any open position that aligns to their skills, qualifications and expertise. Ask them to apply online and enter your name as the referral in their application. You can also reach out to Recruiting@allenai.org to confirm you were added as the referrer.

What's the reward?
We're all connected to talented and diverse people who could make great additions to our team.
If a candidate is hired for a position in the company, and remains employed for at least 90 days, you will receive:

$5,000: Technical roles
$2,500: Non-technical roles

In addition, to further our goal of increasing the diversity of our referral pool for technical roles, if a candidate you refer is hired for a technical position in the company
and remains employed for at least 90 days, and this candidate is a person of color or identifies as a female, you will receive an additional $2,500 on your paycheck.

All qualified candidates will of course go through the same rigorous hiring process that is designed to hire the best and most qualified people for the role and for AI2.

Who's eligible? Team members are eligible to receive the financial award for submitting a candidate that has been hired as an AI2 team member or an AI2 Incubator Entrepreneur in Resident (full-time, part-time).
Referrals of prior AI2 team members or contractors are exempt from this program.
All active team members are eligible for this reward, except for executives, Human Resources staff members, and team members with UW employment affiliations.

If a candidate is submitted by more than one person, the referral award will go to the first person who submitted the candidate.
Internship, temporary, and contract positions are not eligible for a team member referral award.

Need to know:

Candidates submitted through the Referral Program are not guaranteed an interview or employment.
Financial rewards are not eligible for candidates sourced or first introduced to AI2 through a third party temporary agency.
Referral awards are considered taxable income.
This program is limited to AI2 positions only. Rewards are not eligible for team members referrals hired in other PGA Network/Affiliate companies.

Questions?
If you have questions about the Team Member Referral Program or process, please email
HR@allenai.org.

How to submit a referral
1. Log into Greenhouse
2. In the upper right hand corner, click on the “+ New Referral” button
3. Upload the candidate’s resume and select the appropriate job
4. Complete the questions about the referral to help us understand how they would be a good fit for AI2.
*Note: you will automatically be signed up to “follow” this candidate unless you de-select the checkbox
at the bottom of the page. If you follow the candidate, you will be able to see if they are advanced
through the interview stages or if we have decided they are not a fit for AI2 at this time.

Qualified applicants should apply at https://allenai.org/careers with reference to Job ID:
HA1023AI2. No calls please.

Qualified applicants should apply at https://allenai.org/careers with reference to Job ID: AA1023AI2. No calls please.