Remote hybrid: Persons in these roles are expected to spend part of their time on-site in our Seattle offices and may occasionally work remotely from their home in the Greater Seattle area. On-site requirements vary based on position and team. If you have questions about Hybrid work arrangements for this role, please ask your recruiter.
Compensation Range: $153,040 - $235,680
Senior Machine Learning Engineer, Wildlands
Who You Are:
You are an experienced engineer interested in further honing your skills while learning about cutting-edge developments in Artificial Intelligence. You have a passion for applying technology to do good in the world. If this describes you, the Senior ML Engineer role on the Applied Science and Technology (AST) team at AI2 may be your perfect opportunity. The ideal candidate will tackle challenges with an entrepreneurial spirit and have the capacity to deliver across a broad range of domains and technologies.
In the Wildlands team, the most critical skill is to learn and adapt quickly in order to meet the challenges put in front of us. As a senior developer, you will have had a diverse set of experiences demonstrating the ability to perform full stack development across multiple domains.
Who We Are:
At AI2 we build AI for the common good. At Wildlands, our goal is to apply machine learning to support wildland fire management and research workflows. We are focusing our work on ground-level fuels that are not measurable with satellite technology. Surface fuels are a neglected research area in wildfire research and management – we are taking current low-tech methodology and applying computer vision to greatly amplify the impact.In this role, you will work closely with some of the leading AI researchers in the world.
You will design models that help fuel ecologists to measure various parameters to manage forests. You will create computer vision based models to help scientists understand as much of the state of the forests as possible using photographs. You will conduct research to understand the fusion of various types of imagery (Infra-red, visible, Lidar etc.) and the information which can be gathered. You should be able to convert some of these models to run them in the mobile devices to help researchers in the field during data collection.
Your Next Challenge:
The essential functions include, but are not limited to the following:
- Own a large system or a set of smaller components and take an active role in product or project definition. Design and write a significant portion of the critical-path code or modeling.
- Successfully lead the development and launch of deliverables that require guiding other team members, with limited oversight from manager/peers.
- Plan, design, code, and deliver systems that have a significant impact, such as greatly improved performance, availability, adoption, or customer satisfaction.
- Be sought after as a technical expert. Advise management, colleagues, and customers on advanced technical matters.
- Promote a healthy, collaborative culture that improves the team’s overall effectiveness through mentorship, role modeling, etc.
- Help resolve conflicting views on technical matters, and focus the whole team on delivery.
Required:
A Senior Machine Learning Software Engineer shows strong ownership of solutions and solves difficult or complex problems. Engineers at this level will have demonstrated and are expected to have:
- Bachelor's degree in Computer Science, Statistics, Engineering, Applied Mathematics, or a related quantitative field, plus 7 years’ experience; OR Master's degree in Computer Science, Statistics, Engineering, Applied Mathematics, or a related quantitative field, plus 5 years’ experience
- Have production experience with multiple successful launches/deliveries, with solutions that are extensible.
- Experience with applied deep learning (transformers, deep CNNs, etc)
- Expertise in machine learning, statistics, computer vision and time series analysis
- Familiarity working with cloud services (GCP, AWS, or Azure, etc)
- Strong collaboration skills
Preferred:
- Published papers in ML/AI (NLP or CV)
- Research experience or Ph.D
Physical Demands and Work Environment:
The physical demands described here are representative of those that must be met by a team member to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the functions.
- Must be able to remain in a stationary position for long periods of time.
- The ability to communicate information and ideas so others will understand. Must be able to exchange accurate information in these situations.
- The ability to observe details at close range.
- Can work under deadlines.
A Little More About AI2:
The Allen Institute for Artificial Intelligence is a non-profit research institute in Seattle founded by Paul Allen and headed by Ali Farhadi. The core mission of AI2 is to contribute to humanity through high-impact research in artificial intelligence. In addition to AI2’s core mission, we also aim to contribute to humanity through our treatment of each member of the AI2 Team. Some highlights are:
- We are a learning organization – because everything AI2 does is ground-breaking, we are learning every day. Similarly, through weekly AI2 Academy lectures, a wide variety of world-class AI experts as guest speakers, and our commitment to your personal on-going education, AI2 is a place where you will have opportunities to continue learning alongside your coworkers.
- We value diversity - We seek to hire, support, and promote people from all genders, ethnicities, and all levels of experience regardless of age. We particularly encourage applications from women, non-binary individuals, people of color, members of the LGBTQA+ community, and people with disabilities of any kind.
- We value inclusion - We understand the value that people's individual experiences and perspectives can bring to an organization, and we are building a culture in which all voices are heard, respected and considered.
- We emphasize a healthy work/life balance – we believe our team members are happiest and most productive when their work/life balance is optimized. While we value powerful research results which drive our mission forward, we also value dinner with family, weekend time, and vacation time. We offer generous paid vacation and sick leave as well as family leave.
- We are collaborative and transparent – we consider ourselves a team, all moving with a common purpose. We are quick to cheer our successes, and even quicker to share and jointly problem solve our failures.
- We are in Seattle – and our office is on the water! We have mountains, we have lakes, we have four seasons, we bike to work, we have a vibrant theater scene, and we have so much else. We even have kayaks for you to paddle right outside our front door. We welcome interest from applicants from outside of the United States.
- We are friendly– chances are you will like every one of the 200+ (and growing) people who work here. We do.
AI2 is proud to be an Equal Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. You may view the related Know Your Rights compliance poster and the Pay Transparency Nondiscrimination Provision by clicking on their corresponding links. This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.
If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact the Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. Employers can only use E-Verify once you have accepted a job offer and completed the Form I-9.We are committed to providing reasonable accommodations to employees and applicants with disabilities to the full extent required by the Americans with Disabilities Act (ADA). If you feel you need a reasonable accommodation pursuant to the ADA, you are encouraged to contact us at recruiting@allenai.org
Benefits:
- 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 will also receive $200 per month for fitness and wellbeing expenses.
- 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.
Note: This job description in no way states or implies that these are the only duties to be performed by the team members(s) of this position. Team members will be required to follow any other job-related instructions and to perform any other job-related duties requested by any person authorized to give instructions or assignments. All duties and responsibilities are essential functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities.
To perform this job successfully, the team member(s) will possess the skills, aptitudes, and abilities to perform each duty proficiently. Some requirements may exclude individuals who pose a direct threat or significant risk to the health or safety of themselves or others. The requirements listed in this document are the minimum levels of knowledge, skills, or abilities. This document does not create an employment contract, implied or otherwise, other than an at will relationship.
