**Your job** At Indeed, our mission is to _Help People Get Jobs_ . Our products help transform the lives of millions of people by connecting them with meaningful employment through the power of AI. As a Staff Data Scientist, you will play a critical role in advancing this mission by leveraging the latest AI developments to drive innovation. You will steer major workstreams, guiding your team in the development and deployment of predictive models that enhance our platform's ability to match job seekers with their next job. Your work will directly contribute to improving job search and recommendations enabling people around the world to achieve their career goals. **Who you are** + Develop machine learning models from prototype to production + Implement best practices for evaluation, monitoring, and MLOps + Consider system architecture alternatives and balance expedience, reliability, and cost + Collaborate cross-functionally with teams across the company on model inference and product applications + Break down larger Machine Learning initiatives into pieces that deliver incremental business value and guide the team to implement them + Balance technical and product thinking, and show ownership for team goals and Indeed’s mission to help people get jobs + Experiment with Proof of Concept Machine Learning models, scale them to production, and run iterative A/B experiments to improve our technology **Who we are** We are looking for someone with a deep interest in designing and building machine learning systems, loves thought-provoking assignments, is eager to learn, and wants to work with a variety of technologies to “help people get jobs”. + Bachelors in Computer Science, Mathematics, Statistics, or related fields + 5+ years of industry experience as a Software Engineer, Data Scientist, or Machine Learning Engineer + Prior success in creating, deploying, and maintaining impactful Machine Learning solutions in large-scale production systemsSolid knowledge of data structures and algorithms + Experience analyzing and running A/B tests, ability to understand and make business tradeoffs + Experience training, fine-tuning, and evaluating language models + Knowledge and hands-on experience working on Deep Learning Libraries (like Torch, Tensorflow, Huggingface, etc.) **Our mission** As the world’s number 1 job site*, our mission is to help people get jobs. We strive to cultivate an inclusive and accessible workplace where all people feel comfortable being themselves. We're looking to grow our teams with more people who share our enthusiasm for innovation and creating the best experience for job seekers. (*comScore Total Visits, September 2023) **Salary Range Disclaimer** The base salary range represents the low and high end of the Indeed salary range for this position in the given work location. Actual salaries will vary depending on factors including but not limited to location, experience, and performance. The range(s) listed is just one component of Indeed's total compensation package for employees. Other rewards may include quarterly bonuses, Restricted Stock Units (RSUs), a Paid Time Off policy, and many region-specific benefits. **Salary Range Transparency** Austin, Metro Area. 164,000 - 238,000 USD per year New York City, Metro Area 179,000 - 259,000 USD per year Seattle, Metro Area 183,000 -266,000 USD per year San Francisco, Metro Area 191,000 - 276,000 USD per year US Remote 164,000 - 238,000 USD per year **EEO and Accommodations** Indeed is deeply committed to building a workplace and global community where inclusion is not only valued, but prioritized. We’re proud to be an Equal Employment and Affirmative Action employer seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, family status, marital status, sexual orientation, religious creed, national origin, genetics, neuro-diversity, disability, age, status as a protected veteran, or any other non-merit based or legally protected grounds. Indeed is dedicated to providing reasonable accommodations to qualified individuals with known disabilities to participate in the employment application process. To request an accommodation, an applicant should contact Talent Attraction Accommodations at 1-855-567-7767, or by email at accommodations@indeed.com. In the request for an accommodation, please inform us of the nature of your request and your contact information. If you are requesting accommodation for an interview, please reach out at least one week in advance of your interview. **Inclusion & Belonging** Inclusion and belonging are fundamental to our hiring practices and company culture, forming an integral part of our vision for a better world of work. At Indeed, we’re committed to the wellbeing of our employees and on a mission to make this the best place to work and thrive. We believe that fostering a diverse and inclusive environment where every employee feels respected and accepted benefits everyone, fueling innovation and creativity. We value diverse experiences, including those who have had prior contact with the criminal legal system. We are committed to providing individuals with criminal records, including formerly incarcerated individuals, a fair chance at employment. Those with military experience are encouraged to apply. Equivalent expertise demonstrated through a combination of work experience, training, military experience, or education is welcome. **Privacy Policy** Like other employers Indeed uses our own technologies to help us find and attract top talent from around the world. In addition to our site’s user and privacy policy found at https://www.indeed.com/legal , we also want to make you aware of our recruitment specific privacy policy found at https://www.indeed.com/legal/indeed-jobs . **_Reference ID:_** **44405** Apply now (https://careers-indeed.icims.com/jobs/44405/staff-data-scientist---ai/job?mode=apply&apply=yes&in\_iframe=1&hashed=-1834446294) **ID** _2024-44405_ **Job Locations** _US-Remote_