Urgent! Research Scientist - ML Fairness & Explainability Job Opening In Remote – Now Hiring Upstart
About Upstart
Upstart is the leading AI lending marketplace partnering with banks and credit unions to expand access to affordable credit.
By leveraging Upstart's AI marketplace, Upstart-powered banks and credit unions can have higher approval rates and lower loss rates across races, ages, and genders, while simultaneously delivering the exceptional digital-first lending experience their customers demand.
More than 80% of borrowers are approved instantly, with zero documentation to upload.
Upstart is a digital-first company, which means that most Upstarters live and work anywhere in the United States.
However, we also have offices in San Mateo, California; Columbus, Ohio; and Austin, Texas.
Most Upstarters join us because they connect with our mission of enabling access to effortless credit based on true risk.
If you are energized by the impact you can make at Upstart, we’d love to hear from you!
The Team:
Upstart’s Machine Learning team has a direct impact on our company's success.
The team consists of Research Scientists, Data Scientists, ML Engineers and other highly specialized roles.
As a whole, the Machine Learning team builds, enables and evaluates our core production models.
Because our challenges are so new, members of our Machine Learning team need strong creative problem-solving skills and the technical background to implement solutions.
Our research environment affords team members the opportunity to utilize a variety of statistical and machine learning methods with the freedom and encouragement to pursue alternative approaches to solving problems.
Whether developing new products or identifying novel approaches to core models, we are continuously seeking the next big ideas to move our business forward.
The role sits on the Fairness and Explainability team.
The team is focused on research and development ensuring our models are both fair and explainable.
This function is essential for Upstart to ensure that our models are compliant, robust, and are able to engender trust with a variety of external stakeholders, including lending partners, investors, and consumers.
The Role:
As a ML Research Scientist, you will be an integral part of the team ensuring fair lending compliance.
You'll enjoy a fast-paced environment with a focus on researching and implementing industry leading methodologies for explaining complex machine learning models, evaluating their fairness in the lending space, and mitigating any potential fairness disparities via less discriminatory alternative searches.
You will strive to understand, at a deep level, the dynamics of our models in order to properly inform business decisions.
What we’re looking for:
Travel requirements As a digital first company, the majority of your work can be accomplished remotely.
The majority of our employees can live and work anywhere in the U.S but are encouraged to to still spend high quality time in-person collaborating via regular onsites.
The in-person sessions’ cadence varies depending on the team and role; most teams meet once or twice per quarter for 2-4 consecutive days at a time.
What you'll love:
#LI-REMOTE
#LI-Associate
At Upstart, your base pay is one part of your total compensation package. The anticipated base salary for this position is expected to be within the below range.
Your actual base pay will depend on your geographic location–with our “digital first” philosophy, Upstart uses compensation regions that vary depending on location.
Individual pay is also determined by job-related skills, experience, and relevant education or training.
Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
In addition, Upstart provides employees with target bonuses, equity compensation, and generous benefits packages (including medical, dental, vision, and 401k).
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Unlock Your Research Scientist Potential: Insight & Career Growth Guide
Real-time Research Scientist Jobs Trends in Remote, United States (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Research Scientist in Remote, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 33324 jobs in United States and 90 jobs in Remote. This comprehensive analysis highlights market share and opportunities for professionals in Research Scientist roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Upstart is currently hiring and seeking a Research Scientist ML Fairness & Explainability to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Research Scientist ML Fairness & Explainability Jobs Remote.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Upstart adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Research Scientist ML Fairness & Explainability Jobs United States varies, but the pay scale is rated "Standard" in Remote. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Research Scientist ML Fairness & Explainability typically include Mathematical Science Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Research Scientist ML Fairness & Explainability interview at Upstart, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Upstart's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
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