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.

About SailPoint: SailPoint is the leader in identity security for the cloud enterprise. Our identity security solutions secure and enable thousands of companies worldwide, giving our customers unmatched visibility into the entirety of their digital workforce and ensuring that workers have the right access to do their job—no more and no less. Built on a foundation of AI and ML, our Identity Security Cloud Platform delivers the right level of access to the right identities and resources at the right time—matching the scale, velocity, and changing needs of today’s cloud-oriented, modern enterprise. About the Role As a Sr. Machine Learning Engineer, you will play a critical role in shaping, building, and scaling SailPoint’s AI-powered capabilities. You’ll work at the intersection of AI innovation, software engineering, and platform architecture—designing robust, production-grade ML systems that deliver customer insights and intelligent automation across our identity platform. You will lead complex, end-to-end ML initiatives—from model design and experimentation to deployment, monitoring, and continuous improvement About the team: The AI team at SailPoint applies AI and domain expertise to create AI solutions that solve real problems in identity security. We believe the path to success is through meaningful customer outcomes, and we leverage classical ML as well as recent innovations in Generative AI and Graph ML to bring our solutions to SailPoint’s core product lines. Responsibilities - Design, experiment with, and implement ML models to solve complex identity security challenges. - Take ownership of research and prototyping efforts in areas like embeddings, representation learning, and similarity measurement. - Translate AI research and prototypes into practical, effective, and production-ready systems. - Drive improvements in model accuracy, precision/recall, and generalization for your projects. - Implement and advocate for best practices in ML engineering, testing, and architecture. - Communicate complex ML concepts and project updates to technical and non-technical stakeholders. - Partner with product managers to scope and deliver high-impact AI capabilities. - Work cross-functionally with platform and analytics teams to ensure your components integrate seamlessly into SailPoint’s ecosystem. - Contribute to our model lifecycle management, AI governance, and responsible AI practices. Requirements: - 5+ years of professional experience in a technical field with a focus on machine learning. - Proven experience applying modeling techniques such as anomaly detection, semantic search, embeddings, or similarity measurement to real-world applications. - Strong programming skills in Python and proficiency with ML frameworks such as PyTorch, TensorFlow, or scikit-learn. - Solid understanding of data modeling, feature engineering, and statistical analysis. - Excellent communication skills and the ability to collaborate effectively in a cross-functional team. - Strong foundation in software engineering best practices: testing, modularization, code review, and observability. - Good knowledge of MLOps practices—including model monitoring, retraining, and CI/CD. Preferred - Experience in cybersecurity, identity, or enterprise SaaS systems. - Expertise in at least one of our core modeling areas: NLP, Behavioral Modeling, or Graph ML. - Experience owning the technical design and delivery of complex ML components or features. - Hands-on experience building and deploying ML models in a cloud-native environment. Roadmap for success- 30 days: - Build a strong understanding of SailPoint’s AI vision, architecture, and current ML initiatives. - Learn existing data pipelines, environments, and model deployment frameworks. - Establish working relationships with key partners across AI, platform, DevOps, and product teams. - Review current ML models, data flows, and monitoring systems to identify optimization opportunities. - Contribute to initial improvements or bug fixes to gain familiarity with production workflows. 90 days: - Contribute to at least one end-to-end ML initiative or pilot, supporting improvements in performance, reliability, or scalability. - Participate in model evaluation and analysis, helping to identify gaps, edge cases, or areas for feature and data improvements to support robust production performance. - Collaborate with stakeholders to identify opportunities to improve scalability, reduce technical debt, or enhance ML capabilities. 6 months: - Deliver a significant improvement to a core AI product’s performance, scalability, or reliability. - Contribute to the design or enhancement of a reusable ML component (e.g., inference service, feature store, or monitoring framework). - Be recognized as a key contributor and technical resource for ML engineering within the AI team. 1 year: - Help establish a robust, scalable ML foundation across multiple AI initiatives. - Deliver one or more high-impact ML solutions from concept to production. - Mentor and elevate peers through collaboration and knowledge sharing. The Tech Stack (if applicable): - Core Programming: SQL, Python, Shell/Bash, Go - Cloud Platform: AWS (SageMaker, Bedrock) - Data: Snowflake, DBT, Kafka, Airflow, Feast - Visualization: Tableau, Qlik - CI/CD: Cloudbees, Jenkins Benefits and Compensation listed vary based on the location of your employment and the nature of your employment with SailPoint. As a part of the total compensation package, this role may be eligible for the SailPoint Corporate Bonus Plan or a role-specific commission, along with potential eligibility for equity participation. SailPoint maintains broad salary ranges for its roles to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect SailPoint’s differing products, industries, and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. We estimate the base salary, for US-based employees, will be in this range from (min-mid-max, USD): $119,400 - $201,190.00Base salaries for employees based in other locations are competitive for the employee’s home location. Benefits Overview 1. Health and wellness coverage: Medical, dental, and vision insurance 2. Disability coverage: Short-term and long-term disability 3. Life protection: Life insurance and Accidental Death & Dismemberment (AD&D) 4. Additional life coverage options: Supplemental life insurance for employees, spouses, and children 5. Flexible spending accounts for health care, and dependent care; limited purpose flexible spending account 6. Financial security: 401(k) Savings and Investment Plan with company matching 7. Time off benefits: Flexible vacation policy 8. Holidays: 8 paid holidays annually 9. Sick leave 10. Parental support: Paid parental leave 11. Employee Assistance Program (EAP) and Care Counselors 12. Voluntary benefits: Legal Assistance, Critical Illness, Accident, Hospital Indemnity and Pet Insurance options 13. Health Savings Account (HSA) with employer contribution SailPoint is an equal opportunity employer and we welcome all qualified candidates to apply to join our team. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other category protected by applicable law. Alternative methods of applying for employment are available to individuals unable to submit an application through this site because of a disability. Contact applicationassistance@sailpoint.com or mail to 11120 Four Points Dr, Suite 100, Austin, TX 78726, to discuss reasonable accommodations. NOTE: Any unsolicited resumes sent by candidates or agencies to this email will not be considered for current openings at SailPoint.

Ready to be pushed beyond what you think you’re capable of? At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system. To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company’s hardest problems. Our work culture is intense and isn’t for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there’s no better place to be. While many roles at Coinbase are remote-first, we are not remote-only. In-person participation is required throughout the year. Team and company-wide offsites are held multiple times annually to foster collaboration, connection, and alignment. Attendance is expected and fully supported. We are looking for a Senior Machine Learning Platform Engineer to join our Machine Learning Platform team. The team builds the foundational components for feature engineering and training/serving ML models at Coinbase. Our platform is used to combat fraud, personalize user experiences, and to analyze blockchains. You will get the opportunity to apply your engineering skills across all aspects of building ML at scale: stream processing, distributed training, and highly available online services. What you’ll be doing (ie. job duties): - Form a deep understanding of our Machine Learning Engineers’ needs and our current capabilities and gaps. - Mentor our talented junior engineers on how to build high quality software, and take their skills to the next level. - Continually raise our engineering standards to maintain high-availability and low-latency for our ML inference infrastructure that runs both predictive ML models and LLMs. - Optimize low latency streaming pipelines to give our ML models the freshest and highest quality data. - Evangelize state-of-the-art practices on building high-performance distributed training jobs that process large volumes of data. - Build tooling to observe the quality of data going into our models and to detect degradations impacting model performance. What we look for in you (ie. job requirements): - 5+ yrs of industry experience as a Software Engineer. - You have a strong understanding of distributed systems. - You lead by example through high quality code and excellent communication skills. - You have a great sense of design, and can bring clarity to complex technical requirements. - You treat other engineers as a customer, and have an obsessive focus on delivering them a seamless experience. - You have a mastery of the fundamentals, such that you can quickly jump between many varied technologies and still operate at a high level. Nice to haves: - Experience building ML models and working with ML systems. - Experience working on a platform team, and building developer tooling. - Experience with the technologies we use (Python, Golang, Ray, Tecton, Spark, Airflow, Databricks, Snowflake, and DynamoDB). Job ID: P75535 Pay Transparency Notice: Depending on your work location, the target annual base salary for this position can range as detailed below. Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, vision and 401(k)). Annual base salary range (excluding equity and bonus): $186,065—$225,000 USD Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying. Commitment to Equal OpportunityCoinbase is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the Employee Rights and the Know Your Rights notices by clicking on their corresponding links. Additionally, Coinbase participates in the E-Verify program in certain locations, as required by law. Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations[at]coinbase.com to let us know the nature of your request and your contact information. For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here). Global Data Privacy Notice for Job Candidates and ApplicantsDepending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required. For US applicants only, by submitting your application you are agreeing to arbitration of disputes as outlined here. AI DisclosureFor select roles, Coinbase is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants. The tool simulates realistic interview scenarios and engages in dynamic conversation. A human recruiter will review your interview responses, provided in the form of a voice recording and/or transcript, to assess them against the qualifications and characteristics outlined in the job description. For select roles, Coinbase is also piloting an AI interview intelligence platform to transcribe and summarize interview notes, allowing our interviewers to fully focus on you as the candidate. The above pilots are for testing purposes and Coinbase will not use AI to make decisions impacting employment. To request a reasonable accommodation due to disability, please contact accommodations[at]coinbase.com