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)
Day to Day
As a Staff Data Scientist specializing in Search Retrieval, you will be at the forefront of enhancing and optimizing our search algorithms. You will play a key role in driving innovation and efficiency in how users interact with our platform. The ideal candidate will bring a deep understanding of data science, machine learning, and search retrieval methodologies to develop and implement robust solutions.
As a Staff Data Scientist, you will be a team lead. You will own one of the team’s major workstreams, help drive technical direction for the team, and guide other members of the team to achieve product/technical goals. On a daily basis, you will explore data and formulate problem statements, develop and deploy predictive models while monitoring them in production, and guide the team on the same. Additionally, you will collaborate with cross-functional teams, evangelize your team's work, and stay updated with the latest advancements in the field.
Responsibilities
- Collaborate with cross-functional teams to enhance and optimize search algorithms for improved accuracy, relevance, and overall user experience.
- Experiment with Proof of Concept Machine Learning model improvements, scale them to production, and run iterative A/B experiments to improve our matching technology while collaborating with other teams
- Define and clarify project objectives, deliverables, and success criteria in collaboration with cross-functional teams.
- Act as a bridge between technical and non-technical stakeholders, facilitating effective communication and understanding of project goals and outcomes.
- Mentor and grow other software engineers, data scientists, and Machine Learning Engineers across teams
- Break down larger Machine Learning initiatives into pieces that deliver incremental business value and guide the team through implementing them
- Represent Indeed at major Machine Learning conferences like Neural Information Processing Systems (NeurIPS), International Conference on Machine Learning (ICML), and International Conference on Learning Representations (ICLR)
Skills/Competencies
We are looking for someone with a deep interest in designing and building machine learning systems, someone who 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, or related fields
- 5+ years of industry experience as an AI Engineer, Data Scientist, or Machine Learning Engineer
- Prior success in deploying impactful Machine Learning solutions to large-scale production systems, while collaborating across teams.
- Solid knowledge of data structures and algorithms
- Sense of ownership and accountability as a key contributor in the technical and product domains
- Knowledge and hands-on experience working on Deep Learning Libraries (like Torch, Tensorflow, etc.)
- Excellent written and verbal communication in English, effective with technical and business audiences
Salary Range Transparency
Austin, TX 164,000 - 238,000 USD per year
New York City Metro Area 179,000 - 259,000 USD per year
Seattle, Metro Area 183,00 - 266,000 USD per year
San Francisco, Bay Area 191,000 - 276,000 USD per year
Remote, US 164,000 - 238,000 USD per year
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.
Benefits - Health, Work/Life Harmony, & Wellbeing
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Equal Opportunities and Accommodations Statement
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 opportunity employer, seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, family status, marital status, sexual orientation, national origin, genetics, neuro-diversity, disability, age, or veteran status, or any other non-merit based or legally protected grounds.
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Reference ID: 43459
Job Type: Full-time
Pay: $191,000.00 - $276,000.00 per year
Benefits:
- 401(k)
- 401(k) matching
- Dental insurance
- Health insurance
- Paid time off
- Parental leave
- Vision insurance
Compensation package:
Experience level:
Schedule:
People with a criminal record are encouraged to apply
Application Question(s):
- Are you authorized to work in the US?
- Are you a current or former Indeed employee?
- How did you hear about this role?
Experience:
- Machine learning: 5 years (Preferred)
- Python: 5 years (Preferred)
- Natural language processing: 2 years (Preferred)
- Information retrieval: 1 year (Preferred)
Work Location: Remote