• Develop and evaluate scalable deep learning algorithms that are central to our brain decoding initiatives. • Collaborate closely with data scientists to pioneer research in generative modeling and representation learning. • Identify bottlenecks in data processing pipelines and devise effective solutions, improving performance and reliability. • Maintain high standards of code quality, organization, and automatization across all projects. • Adapt machine learning and neural network algorithms to optimize performance in various computing environments, including distributed clusters and GPUs. • Write and revise papers, communicate and disseminate results.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next. The Production Science team, within Data Science and Engineering, is responsible for developing and deploying analytics and machine learning tools and models that inform, support, and automate decision-making in the Netflix Studio. We collaborate closely with business and product partners in Content Finance, Strategy, and Production Operations teams to identify high-impact opportunities for data to enhance processes like production planning, scheduling, and budget creation. We are looking for an experienced ML Scientist to join the team. Responsibilities - Own and innovate on our highly impactful Cash Forecasting capabilities to enable increasingly sophisticated and accurate insights about our production spend. - Have end-to-end ownership of ML model development lifecycle, from feature engineering, to model training, evaluation, deployment and continuous monitoring and improvement. - Closely work with Business and Product stakeholders to develop a roadmap that meets the needs of changing business priorities. - Communicate complex concepts with both technical and non-technical stakeholders to influence strategic decisions. - Collaborate closely with ML Scientists and Analytics Engineers on the team to develop shared capabilities and best practices around developing and deploying data-driven applications for our Studio partners. - Embrace and enact Netflix values in daily work and interactions. About You - You have 5+ years of experience developing and deploying Machine Learning models with a successful track record of and passion for delivering business or research impact. - You hold an advanced degree (MS or PhD) in Computer Science, Statistics, Computational Social Science, Electrical Engineering or a related technical field with a focus on machine learning, artificial intelligence, and predictive modeling. - You have deep familiarity with the ML lifecycle and strong technical judgment when assessing different solutions for deploying models in production. - You are an excellent communicator with the ability to translate business context into ML applications, and, conversely, explaining outputs of ML applications to business partners, product managers, and peers. - You thrive in collaborative environments, and enjoy working with a diverse group of peers to solve ambiguous, impactful, problems. You are selfless in seeking the best solution for the problem at hand. - A passion for and appreciation of the creative and entertainment industry is definitely a plus. - Experience with forecasting models, financial data and/or familiarity with financial planning and analysis is a plus. Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $466,000.00 - $750,000.00. This compensation range will vary based on location. Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here. Netflix is a unique culture and environment. Learn more here. Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner. We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service. Job is open for no less than 7 days and will be removed when the position is filled.

What’s in it for you? Ready to make a serious impact? Millions of people already rely on Calendly, and we’re still in the midst of exciting product growth — it’s a fantastic time to join us. Everything you’ll work on here will accelerate your career to the next level. If you want to learn, grow, and do the best work of your life alongside the best people you’ve ever worked with, then we hope you’ll consider allowing Calendly to be a part of your professional journey. About the team & opportunity What’s so great about working on Calendly’s Data Science & Machine Learning team? We make things possible for our customers through innovation in data, analytics and AI. Why do we need you? Well, we are looking for a Machine Learning Engineer who will deliver business value by building new AI Products for Calendly’s customers. You will report to the head of AI and will be responsible for building and operating AI-powered features that create magical experiences for our customers. Our team: - Builds new AI products for Calendly’s customers, bringing new capabilities to life. - Works closely with product, design, marketing, customer success, and engineering teams to implement AI solutions to real customer problems. - Drives innovation and makes an impact. You will join a high performing AI team and be an integral part of building new, AI based experiences for internal and external customers alike. What you’ll do On a typical day, you’ll own features end to end within our AI ecosystem, with growing independence and impact. - Own AI powered features from design through deployment, partnering with product, design, and engineering to scope work and define success metrics. - Understand and share domain knowledge, answering domain specific questions for your product area and documenting what you learn for the team. - Prioritize your work independently, balancing feature development, quality, and maintenance, and communicating tradeoffs clearly. - Proactively seek and offer support to teammates pairing, reviewing, and collaborating to move projects forward. - Understand and troubleshoot our deployment pipelines, including build, test, and release steps for ML services and data pipelines. - Use our monitoring and observability tools to effectively triage alerts and incidents, collaborating with partners to restore service and prevent recurrence, and participate in the team’s on-call rotation and incident response. - Serve as a subject matter expert for the features and services you own, including their data contracts, SLAs, and dependencies. - Be a frequent user of AI Tools and champion of adoption to the rest of the company. What do we need from you? - 6+ years of industry experience in applied AI/ML and software engineering with a demonstrated track record of shipping and operating AI /ML applications in production. - Experience working on GenAI products architecture/system design and implementation. - Hands-on experience implementing AI/ML solutions for high-traffic, low-latency, large-data applications that produced tangible impact for end users. - Understanding of foundation models and the open-source ecosystem, including model fine-tuning and prompt engineering for real product use cases. - Strong programming (Python / Scala / Java / SQL etc) and data engineering skills. - High level of ownership, and the ability to find a way to success. - You have strong verbal and written communication skills. - Authorized to work lawfully in the United States of America as Calendly does not engage in immigration sponsorship at this time What’s in it for you? Ready to make a serious impact? Millions of people already rely on Calendly’s products, and we’re still in the midst of our growth curve — it’s a fantastic time to join us. Everything you’ll work on here will accelerate your career to the next level. If you want to learn, grow, and do the best work of your life alongside the best people you’ve ever worked with, then we hope you’ll consider allowing Calendly to be a part of your professional journey. Our Hiring Process: We aim to provide an inclusive and equitable candidate experience to everyone who expresses interest in working at Calendly. To learn more about our hiring process, please visit our careers page at www.careers.calendly.com. Once selected for an opportunity, the recruiter assigned to the role will keep you informed every step of the way. Have questions? Let your recruiter know! Want to share your experience? We are passionately committed to improving and building on our process, and we consider feedback a gift. If you are an individual with a disability and would like to request a reasonable accommodation as part of the application or recruiting process, please contact us at recruiting@calendly.com . Calendly is registered as an employer in many, but not all, states. If you are located in Alaska, Alabama, Delaware, Hawaii, Idaho, Montana, North Dakota, South Dakota, Nebraska, Iowa, West Virginia, and Rhode Island, you will not be eligible for employment. Note that all individual roles will specify location eligibility. All candidates can find our Candidate Privacy Statement here Candidates residing in California may visit our Notice at Collection for California Candidates here: Notice at Collection Tier 1 Salary Hiring Range $237,630—$287,952 USD Tier 2 Salary Hiring Range $217,828—$263,956 USD Tier 3 Salary Hiring Range $198,025—$239,960 USD The ranges listed above are the expected annual base salary for this role, subject to change. Calendly takes a number of factors into consideration when determining an employee’s starting salary, including relevant experience, relevant skills sets, interview performance, location/metropolitan area, and internal pay equity. Base salary is just one component of Calendly’s total rewards package. All full-time (30 hours/week) employees are also eligible for our Top Performer Bonus program (or Sales incentive), equity awards, and competitive benefits. Calendly uses the zip code of an employee’s remote work location, or the onsite building location if hybrid, to determine which metropolitan pay range we use. Current geographic zones are as follows: - Tier 1: San Francisco, CA, San Jose, CA, New York City, NY - Tier 2: Chicago, IL, Austin, TX, Denver, CO, Boston, MA, Washington D.C., Philadelphia, PA, Portland, OR, Seattle, WA, Miami, FL, and all other cities in CA. - Tier 3: All other locations not in Tier 1 or Tier 2 If you are an individual with a disability and would like to request a reasonable accommodation as part of the application or recruiting process, please let your Recruiter know when first connecting with them. Calendly is registered as an employer in many, but not all, states. If you are located in Alaska, Delaware, Hawaii, Idaho, Iowa, Montana, Nebraska, North Dakota, Rhode Island, South Dakota, and West Virginia, you will not be eligible for employment. Note that all individual roles will specify location eligibility. All candidates can find our Candidate Privacy Statement here Candidates residing in California may visit our Notice at Collection for California Candidates here: Notice at Collection This role may require occasional travel for company events, team collaboration, or offsites.

Liftoff is a leading AI-powered performance marketing platform for the mobile app economy. Our end-to-end technology stack helps app marketers acquire and retain high-value users, while enabling publishers to maximize revenue across programmatic and direct demand. Liftoff’s solutions, including Accelerate, Direct, Monetize, Intelligence, and Vungle Exchange, support over 6,600 mobile businesses across 74 countries in sectors such as gaming, social, finance, ecommerce, and entertainment. Founded in 2012 and headquartered in Redwood City, CA, Liftoff has a diverse, global presence. About the Revenue Engine team The Revenue Engine team works to understand the fundamental economics of the mobile ad tech marketplace, including the elasticity of demand and the effects of competition. The team of machine learning engineers, software engineers, and data analysts develops theories, validates those theories with experiments and analyses, and uses the learnings to build production systems that improve outcomes for Liftoff and its advertisers. As a Machine Learning Engineer on the Revenue Engine team, you will: - Build statistical models and production systems to balance advertiser performance with business goals. - Tune optimization parameters, measure internal competition, and model dynamic environments. - Design and run experiments to validate theories underpinning the mobile ad tech economy. - Develop applications in the areas of advertiser budget retention and growth, optimal margin allocation, and bidding innovations. - Collaborate with a team of world-class engineers with diverse backgrounds as well as peers across the broader company (e.g. Operations, GTM). - Use strong communication skills (verbal and written) to explain statistical and machine learning concepts to both technical and non-technical audiences. - Be part of an “engineering excellence” culture through state-of-the-art tools, risk-driven testing, explainable systems, and design/code review. Requirements: - PhD in Computer Science, Machine Learning, Economics, or a related field. - Industry experience applying economics or machine learning to large scale problems. - Solid engineering and coding skills. - Excellent team communication and collaboration skills. - Experience with ad tech is a solid plus. Location: This role is eligible for full-time remote work in one of our entities: CA, CO, ID, IL, FL, GA, MA, MI, MN, MO, NJ, NV, NY, OR, TX, UT, and WA. We are a remote-first company with US hubs in Redwood City, Los Angeles, and New York City. Travel Expectations: We offer several opportunities for in-person team gatherings, including but not limited to project meetings, regional meetups, and company-wide events. We expect our employees to attend these gatherings at least once per quarter. These gatherings provide essential opportunities for collaboration, communication, and team building. Compensation: Liftoff offers all employees a full compensation package that includes equity and health/vision/dental benefits associated with your country of residence. Base compensation will vary based on the candidate's location and experience. The following are our base salary ranges for this role: - SF Bay Area, Los Angeles/Orange County, NYC, Seattle: $235,000 - $275,000 - All other cities and towns in our approved states: $215,000 - $255,000 #LI-EL1 #LI-REMOTE We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process, we provide Covey with job requirements and candidate-submitted applications. We began using Covey Scout for Inbound on January 22, 2024. Please see the independent bias audit report covering our use of Covey here. Liftoff offers a fast-paced, collaborative, and innovative work environment where employees are empowered to grow and make an impact. We’re shaping the future of the mobile app ecosystem—join us and help accelerate what’s next. Liftoff’s compensation strategy includes competitive salaries, equity, and benefits designed to support employee well-being and performance. We benchmark compensation based on role, level, and location to ensure fairness and market alignment. Benefits may include medical coverage, wellness stipends, and additional perks based on your country of residence. Liftoff is an equal opportunity employer. We are committed to creating an inclusive environment for all employees and applicants regardless of race, ethnicity, national origin, age, marital status, disability, sexual orientation, gender identity, religion, veteran status, or any other characteristic protected by applicable law. Agency and Third Party Recruiter Notice: Liftoff does not accept unsolicited resumes from individual recruiters or third-party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to our hiring managers or Recruiting Team. All candidates must be submitted via our Applicant Tracking System by approved Liftoff vendors who have been expressly requested to make a submission by our Recruiting Team for a specific job opening. No placement fees will be paid to any firm unless such a request has been made by the Liftoff Recruiting Team and such a candidate was submitted to the Liftoff Recruiting Team via our Applicant Tracking System.