Staff Software Engineer - Marketplace Optimization / Machine Learning Infrastructure - SMB

Washington, DC
Aug 18, 2022
Aug 20, 2022
Full Time
Your Job The marketplace optimization team builds systems that improve Indeed's marketplace of job seekers and employers. For this, Indeed uses different machine learning models to recommend the employers the right setup for sponsoring jobs at Indeed, helping them leverage signals from the marketplace at a particular point in time. You will directly influence Indeed's monetization strategy and its marketplace future by enabling these machine learning models in production. You'll work closely with data scientists on their definition and you'll be responsible for designing and building the infrastructure to support them in production. You'll work on the multiple ML Ops challenges involved in maintaining machine learning models at their best performance at all times. Responsibilities: Use your expertise in building the infrastructure for maintaining machine learning models in production. Help scale data pipelines for real-time processing of large amounts of user behavioral data. Design and build systems that help employers find the best candidates and help job seekers find their dream jobs. Have ownership over the things you build, help shape the product and technical vision, direction, and how we iterate. Work closely with multiple teams to improve the highest-trafficked parts of Indeed, including the homepage and job search. Work closely with the product managers and stakeholders so that they can leverage your work into new products and systems. Work closely with a world-class team of software engineers and data scientists solving fundamental problems in the marketplace of job seekers and employers. Get the satisfaction of knowing that you helped connect people to that perfect job that's just right for them. Who You Are Requirements: BS in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or a closely related computer technical field with 7+ years experience programming in coding with OOP languages, Java is preferred. OR MS in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or a closely related computer technical field with 5+ years experience programming in coding with OOP languages, Java is preferred. AND Minimum 5 years professional experience in back-end engineering with significant experience with large-scale, high-performance systems. Prior experience building cloud-based solutions, especially on AWS. Experience working with SQL/NoSQL databases. Experience in making data-driven decisions for improving products. Experience in ML Ops, building data pipelines, and productionizing machine learning (test, training, and monitoring) environments. Strong communication and collaboration skills Experience with Agile methodologies We get excited about candidates who: Have a passion for your work and the problems you solve. Are passionate about collaboration and making others around you successful. Have a strong sense of ownership in everything you build. Have experience in making data-driven decisions for improving products. Are passionate about supporting big data and machine learning technologies to solve challenging problems. #g3xf Who we are The Small to Medium Businesses (SMB) organization at Indeed develops products centered around the hiring needs of SMB businesses, making the hiring process simpler, faster and more effective so they always find the talent that is right for their business, when they need it. The solutions we provide are focused on three main pillars, including 'Building for the Long-Term', 'Delivering the Hire' and 'Driving Performance'. The impact of our work helps grow companies and communities around the world. 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 2021) Salary Range Disclaimer The base salary range represents the low and high end of the Indeed salary range for this position. Actual salaries will vary depending on factors including but not limited to location, experience, and performance. The range listed is just one component of Indeed's total compensation package for employees. Other rewards may include quarterly bonuses, Restricted Stock Units (RSUs), an open Paid Time Off policy, and many region-specific benefits. Salary Range Transparency SF Bay Area 196,000 - 284,000 USD per year Austin 143,000 - 207,000 USD per year NYC Metro Area 184,000 - 266,000 USD per year Seattle 184,000 - 266,000 USD per year US Remote 143,000 - 207,000 USD per year Equal Opportunities and Accommodations Statement Indeed is a proud equal opportunity employer. We are deeply committed to building a workplace and global community where inclusion is not only valued, but prioritized. We are committed to creating an environment where all employees feel included and have a strong sense of belonging. All qualified applicants will be considered for employment without regard to race, color, religion, gender, gender identity or expression, family/marital status, refugee or immigration status, sexual orientation, national origin, genetics, neuro-diversity, disability, age, veteran status, or any other non-merit based or legally protected grounds. We encourage people from all backgrounds to apply and join us in our mission of helping people get jobs.Indeed is committed to providing reasonable accommodations to qualified individuals with disabilities in the employment application process. To request an accommodation, please contact Talent Attraction Help at 1-855-567-7767, or by email at at least one week in advance of your interview. Fair Chance Hiring 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 and individuals with arrest or conviction records, a fair chance at employment. We also comply with state and local requirements such as the San Francisco Fair Chance Ordinance. Our Policies and Benefits View Indeed's Applicant Privacy and Accessibility Policies - Learn about our global employee perks, programs and benefits - Where legally permitted, Indeed requires all individuals attending or working out of Indeed offices or visiting Indeed clients to be fully vaccinated against COVID-19. For positions that can only be performed at an Indeed office, candidates must be fully vaccinated against COVID-19 and present acceptable proof of vaccination by the date of hire as a condition of employment. Indeed will consider requests for reasonable accommodation as required under applicable law. To qualify as being fully vaccinated against COVID-19 there should have been a two week period after receiving the second dose (or any government recommended booster shot) in a 2-dose COVID-19 vaccine series, or a two week period after receiving a single-dose (or any government recommended booster shot) in a single dose COVID-19 vaccine. Reference ID: 33697

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