Your Job What if an employer could interview the perfect candidate immediately after posting a new job? What if a job seeker could interview for their dream job as soon as it was posted? The MRP Instant Match team is focused on making this a reality. We are looking for a Software Engineer to build a machine learning system to transform the way that employers and job seekers connect. As a Software Engineer II, you Lead the development from translating business requirements into well thought out workable solutions to implementing and deploying them in production Lead the product strategy discussions with other software engineers, data scientists, and product leadership Mentor and grow other software engineers and data scientists across teams in coding, testing, design, and documentation Solve highly complex engineering problems in the field of machine learning systems (but not limited to) Interface with people outside the team and people in other functions like data science, product, and design. Who You Are Reruirements: 5+ years of "hands-on" industry experience as a Software Engineer using at least one of the popular programming languages: Java, C, C++, C#, Go, Kotlin, etc Experience with large scale distributed systems and / or data-intensive systems using some of the following technologies: Spark, Hadoop, Kafka, Spring, SQL, Microservices, etc Ability to drive multiple projects with people in different functional areas Experience in working in an agile, face-paced environment (eg, ship early, ship often, and iterate) Ability to take product ownership and commit to delivery Experience with data-driven decision making which entails online A/B testing Experience with modern software development best practices: CI/CD, Containerization, etc Experience with cloud technologies (AWS preferred) We get excited about candidates who have: Prior success on delivering large scale recommendation / feed / search products using some of the technologies like Elasticsearch, Lucene, Deep learning, Embedding-based retrieval, Learning-to-rank, Event-driven streaming architectures, etc Extensive skills and the desire to solve difficult problems at the intersection of machine learning and engineering using MLOps best practices Prior experience in working in cross-functional teams with a mix of software engineers, data scientists, business analysts, etc 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 Seattle 132,000 - 192,000 USD per year Austin 109,000 - 159,000 USD per year NYC Metro Area 134,000 - 194,000 USD per year SF Bay Area 140,000 - 204,000 USD per year US Remote 109,000 - 159,000 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 TAhelp@indeed.com 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 - https://www.indeed.com/legal/indeed-jobs Learn about our global employee perks, programs and benefits - https://benefits.indeed.jobs/ 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: 39157