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, 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 priorities, deliverables, and success criteria in collaboration with cross-functional teams.
Act as a bridge between technical and non-technical collaborators, 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 practical experience working on Deep Learning Libraries (like PyTorch, Tensorflow, etc.)
Excellent written and verbal communication in English, effective with technical and business audiences

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

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.

To learn more about your pay transparency rights, click here (https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf)

Benefits - Health, Work/Life Harmony, & Wellbeing

We care about what you care about. We have a multitude of benefits to support Indeedians, as well as their pets, kids, and partners including medical, dental, vision, disability and life insurance. Indeedians are able to enroll in our company’s 401k plan, as well as an equity-based incentive program. Indeedians will also receive open paid time off, 12 paid holidays a year and up to 26 weeks of paid parental leave. For more information, select your country and learn more about our employee benefits, program, & perks at https://benefits.indeed.jobs!

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 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.

Indeed’s Employee Recruiting 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.

Agency Disclaimer

Indeed does not pay placement fees for unsolicited resumes or referrals from non-candidates, including search firms, staffing agencies, professional recruiters, fee-based referral services, and recruiting agencies (each individually, an "Agency"), subject to local laws. An Agency seeking a placement fee must obtain advance written approval from Indeed's internal Talent Acquisition team and execute a fee agreement with Indeed for each job opening before making a referral or submitting a resume for that opening.

Reference ID: 44844
#INDDATA

The deadline to apply to this position is December 15th. Job postings may be extended at the hiring team’s discretion based on applicant volume.

Reference ID: 44844

Job Type: Full-time

Pay: $164,000.00 - $238,000.00 per year

Benefits:

401(k) matching
Dental insurance
Health insurance
Parental leave
Vision insurance

Schedule:

Monday to Friday

Supplemental Pay:

Bonus opportunities

People with a criminal record are encouraged to apply

Application Question(s):

How did you first hear about this position?
Are you a current or former Indeed employee?

Education:

Bachelor's (Required)

Experience:

Machine learning: 5 years (Required)
Deep learning: 3 years (Required)

Work Location: Remote

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