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Staff Machine Learning Engineer

Ind*** · United States · Remote
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United States163,000-341,000 USD/yearlyRemote
Remuneration
163,000-341,000 USD/yearly
Location
United States · Remote
Eastern Daylight Time (UTC-4)
Visa sponsorship
Sponsors visa

Job summary

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.

Benefits

HEALTH, WORK/LIFE HARMONY, & WELLBEINGWe care about what you care about.We have a multitude ofTo support Indeedians, as well as their pets, kids, and partners including medicIndeedians are able to enroll in our company’s 401k plan, as well as an equity-bIndeedians will also receive open paid time off, 11 paid holidays a year and upFor more information, select your country and learn more about our employeeProgram, &At https://www.indeed.com/careers/EQUAL OPPORTUNITIES AND ACCOMMODATIONS STATEMENTIndeed is deeply committed to building a workplace and global community where inWe’re proud to be an equal opportunity employer, seeking to create a welcoming a

Qualifications

  • We're looking to grow our teams with more people who share our enthusiasm for innovation and creating the best experience for job seekers.

Responsibilities

  • As a Staff Machine Learning Engineer, you will be a team lead on the Employer Agents Team.
  • Your team will be responsible for driving value and better customer experiences for our employer-facing Agentic solutions, helping redefine the employer hiring journey through AI.
  • On a daily basis, you will explore data, formulate problem statements, build new agentic experiences, and drive improvements in our LLMOps reliability and infrastructure.
  • Partner 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 partnering with other teams
  • Define and clarify project priorities, deliverables, and success criteria in partnership with cross-functional teams.
  • Act as a bridge between technical and non-technical collaborators, facilitating effective communication and comprehension of project goals and outcomes.
  • Mentor and grow other software engineers 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

Skills

CommunicationEnglish

Degrees

AssociateDegreePhD

Languages

English

Industry

DefenseEducationInsurance

Contract length

8 years