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  • Sr Machine Learning Engineer, Proactive - ML Systems Engineering

    Apple - Cupertino, United States of America
    Indexed from Apple Custom Benefit evidence checked Jun 13, 2026 Comp disclosed in posting
    posted 200 days ago

    Why we showed this

    Role: semantic match
    Unspecified Engineering From the posting source - Senior From the posting source $147K-$272K From the posting source Equity Inferred from posting 401(k) reported

    Sr Machine Learning Engineer, Proactive - ML Systems Engineering Cupertino, United States of America Apple's products combine the best hardware and incredible software to deliver magical experiences to our customers. The Proactive Intelligence team builds features that anticipate customer's needs and create personalized experiences by adapting to user behaviors with machine learning running locally on users' devices. We are seeking exceptional software engineers with a strong machine learning background to join our team where we're making Apple Intelligence more capable and personalized to surprise and delight our millions of customers on the iPhone, Mac, Apple Watch, iPad, and more! We are seeking passionate, creative, and curious engineers with experience shipping machine learning systems and a proven track record of outstanding software engineering abilities. We need your expertise to invent the future by integrating new features with highly complex systems. You will need to learn and deeply understand the way Apple's software operates in order to deliver new capabilities and features. The most successful engineers ask questions, are eager to teach and learn together, and share a common belief that that we can surprise and delight our customers with personalized intelligent experiences in all of Apple's products. Join us to benefit the lives of hundreds of millions of people around the world! As a member of our team, you will ship excellent software for machine learning systems; establish scalable automated processes for evaluation and monitoring; contribute to a healthy team culture where everyone feels respected, empowered, and challenged to grow; commit

  • FP&A Analyst - APAC

    LaunchDarkly - India
    Indexed from Greenhouse
    posted 398 days ago

    Why we showed this

    Description: "adaptive"
    Unspecified Finance From the posting source - Mid From the posting source Inferred from posting 8 wk non-birth leave Salary not disclosed

    FP&A Analyst - APAC India About the Job: As a Financial Analyst / Senior Financial Analyst on the Strategic Finance team, you will be a critical contributor to financial planning, reporting, and operational insight. You will work closely with Accounting and other cross-functional teams to support month-end close, deliver monthly reporting, and build out financial models and analysis. You will become an expert user of Adaptive and are motivated to leverage AI tools or automation to increase productivity and insight. This role is ideal for someone with at least 2 years of experience in finance or analytics, strong analytical rigor, and the ability to thrive in ambiguity. Responsibilities: - Lead or support Strategic Finance in month-end close and monthly forecasting. - Lead or support monthly financial reporting and commentary to leadership. - Become a power user of Adaptive: manage forecasts, and build/extend Adaptive models. - Identify opportunities to incorporate AI, automation, or process improvements to increase speed, accuracy, and scalability. - Conduct ad hoc financial and business analysis to support strategic initiatives, business reviews, and cross-functional decision-making. - Continuously monitor and validate data integrity; flag anomalies, investigate root causes, and correct issues. - Actively participate in process documentation, knowledge sharing, and team learning. About You: - You're excited by turning raw data into insights that drive business strategy - You thrive when faced with complex problems, and take ownership of outcomes - You enjoy cross-functional collaboration and learning from others - You believe in continuously improving processes and tooling -

  • Licensed Customer Experience Specialist (P&C)

    Lemonade Inc - Remote, United States
    Indexed from Ashby Benefit evidence checked Jun 13, 2026 Comp disclosed in posting
    posted 165 days ago
    Remote From the posting source Customer Success From the posting source - Mid From the posting source Salary not disclosed From the posting source Equity Inferred from posting 401(k) reported

    Licensed Customer Experience Specialist (P&C) Remote, United States We're looking for a proactive problem-solver with excellent communication skills and a deep commitment to customer satisfaction. This role is perfect for individuals who are enthusiastic, driven, empathetic, helpful by nature, patient, have a good sense of humor, and are a proficient writer. During your day-to-day at Lemonade you'll be asked to provide next-level customer care to our customers, while working alongside (and learning from) some of the best talent in the tech and insurance industries. You'll advocate for our community of customers while working with our product and engineering teams to maintain an award-winning level of service. We believe three things matter for every role at Lemonade: drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and AI insights. These aren't buzzwords, they're how we actually work. Enthusiasm about learning and adapting to the exciting world of AI - a commitment to exploring this field is a fundamental part of our culture. In this role you'll - Utilize phone, email, and SMS channels to provide a best-in-class experience by adapting your style of support to meet each customer's unique needs - Build customer confidence in our brand by showcasing a deep knowledge across our line of products - Identify and communicate critical pain points of our customer user experience to other stakeholders with a solution-oriented mindset - Bring our values to life in the way you interact with and

  • Machine Learning Engineer

    Adobe Inc. - San Jose
    Indexed from Workday Benefit evidence checked May 7, 2026
    posted 164 days ago

    Why we showed this

    Role: semantic match
    Unspecified Data From the posting source - Mid From the posting source Resolvable source Verified parental leave: 16 wksource Resolvable source Verified non-birth-parent leave: 16 wksource Salary not disclosed Equity Inferred from posting 401(k) reported

    Machine Learning Engineer San Jose posted: Posted 8 Days Ago

  • Founding Revenue Manager, Adapt

    AirDNA - Remote
    Indexed from Lever Comp disclosed in posting
    posted 195 days ago
    Remote From the posting source Operations From the posting source - Mid From the posting source Inferred from posting 16 wk leave $75K-$120K From the posting source Inferred from posting Unlimited PTO Inferred from posting Learning budget Equity

    Founding Revenue Manager, Adapt Remote About AirDNA AirDNA began with a big dream in a balmy California garage in 2015. Since then, the technology startup has grown into the leading provider of data and business intelligence for the multi-billion-dollar travel and short-term rental industry, with offices in New York, Denver and Barcelona and team members around the world. Our self-serve platform equips Airbnb hosts and property managers with the smart, competitive insights they need to succeed in an ever-evolving market. We also arm enterprise clients with custom reports and in-depth dashboards so they can scale and invest strategically. Our customers include hundreds of top financial institutions, real estate companies, vacation rental managers, and destination marketing organizations around the world. We track the daily performance of over 15 million listings on Airbnb, Vrbo, and Booking.com across 120,000 global markets. Hundreds of thousands of partner properties further inform our proprietary algorithms, producing the most accurate and comprehensive short-term rental dataset in the world. The AirDNA team We genuinely live and breathe our company values: Happy, Hungry, Honest - Be Curious, Be Customer-Obsessed, Take Action, Act with Ownership, and Enjoy the Ride. People who are ready to exemplify these values are especially encouraged to apply. Want to see what that looks like in action? You'll get a feel once you meet us. We welcome applicants from all backgrounds and encourage you to apply even if you don't check every box. Passion, potential, and perspective matter here. The Role Adapt is AirDNA's new dynamic

  • Staff Technical Lead for Inference & ML Performance

    Fal - San Francisco
    Indexed from Greenhouse
    posted 465 days ago

    Why we showed this

    Role: semantic match
    Unspecified Engineering From the posting source - Senior From the posting source Salary not disclosed

    Staff Technical Lead for Inference & ML Performance San Francisco fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products. As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on. Why this role matters You'll shape the future of fal's inference engine and ensure our generative models achieve best-in-class performance. Your work directly impacts our ability to rapidly deliver cutting-edge creative solutions to users, from individual creators to global brands. What you'll do Day-to-day What success looks like Set technical direction. Guide your team (kernels, applied performance, ML compilers, distributed inference) to build high-performance inference solutions. fal's inference engine consistently outperforms industry benchmarks in throughput, latency, and efficiency. Hands-on IC leadership. Personally contribute to critical inference performance enhancements and optimizations. You regularly ship code that significantly improves model serving performance. Collaborate closely with research & applied ML teams. Influence model inference strategies and deployment techniques. Seamless integration of inference innovations rapidly moves from research to production deployment. Drive advanced performance optimizations. Implement model parallelism, kernel optimization, and compiler strategies.

  • Technical Lead II

    SEI Investments Company - Telangana, India
    Indexed from Phenom People Benefit evidence checked Jun 7, 2026
    posted 180 days ago
    Unspecified Engineering From the posting source - Senior From the posting source Salary not disclosed Equity Inferred from posting 401(k) reported

    Technical Lead II Telangana, India The SEI Wealth Platform has a challenging career opportunity for a Technical Lead. You should be adaptable, possess a wide range of technical skills, and demonstrate the ability to understand finan...

  • posted 156 days ago

    Why we showed this

    Role: semantic match
    Unspecified Data From the posting source - Mid From the posting source Salary not disclosed Equity

    AI Machine Learning Engineer 4 Locations posted: Posted Today

  • Machine Learning Engineering Manager

    Autodesk - 14 Locations
    Indexed from Workday Benefit evidence checked Jun 7, 2026
    posted 157 days ago

    Why we showed this

    Role: semantic match
    Unspecified Engineering From the posting source - Senior From the posting source Salary not disclosed Equity Inferred from posting 401(k) reported

    Machine Learning Engineering Manager 14 Locations posted: Posted Yesterday

  • Software Engineer II

    SEI Investments Company - Kolkata, India
    Indexed from Phenom People Benefit evidence checked Jun 7, 2026
    posted 181 days ago
    Unspecified Engineering From the posting source - Mid From the posting source Salary not disclosed Equity Inferred from posting 401(k) reported

    Software Engineer II Kolkata, India SEI is seeking to hire a Software Engineer. You should be adaptable, possess a wide range of technical skills, and demonstrate the ability to understand financial services business requirements. Yo...

  • Investor Services Assistant Manager

    U.S. Bancorp - Dublin, Dublin, Ireland
    Indexed from Phenom People Benefit evidence checked Jun 13, 2026
    posted 213 days ago
    Unspecified Operations From the posting source - Mid From the posting source Salary not disclosed Equity Inferred from posting 401(k) reported

    Investor Services Assistant Manager Dublin, Dublin, Ireland The Investor Services Assistant Manager provides support to the group as a whole and therefore needs to be flexible and display an ability to adapt to different funds, clients, regulatory requirements...

  • posted 156 days ago

    Why we showed this

    Role: semantic match
    Unspecified Data From the posting source - Senior From the posting source Salary not disclosed

    Senior Machine Learning & AI Engineer Bristol posted: Posted Today

  • Machine Learning Services Engineer - Firefly

    Adobe Inc. - Bucharest
    Indexed from Workday Benefit evidence checked May 7, 2026
    posted 187 days ago

    Why we showed this

    Role: semantic match
    Unspecified Data From the posting source - Mid From the posting source Resolvable source Verified parental leave: 16 wksource Resolvable source Verified non-birth-parent leave: 16 wksource Salary not disclosed Equity Inferred from posting 401(k) reported

    Machine Learning Services Engineer - Firefly Bucharest posted: Posted 30+ Days Ago

  • posted 170 days ago

    Why we showed this

    Description: "adaptive"Title: "adaptive"
    +1
    Unspecified Finance From the posting source - Mid From the posting source Salary not disclosed Inferred from posting Childcare support Equity

    Workday Adaptive Workforce Planning Analyst 4 Locations IN0534 Fishers, OH0523 Independence Bus Office, OH0713 NW Bancshares HQ, PA0258 Bellevue Job Description The Workday Adaptive Workforce Planning Analyst plays a critical role at the intersection of headcount governance, data-driven reporting, and talent program support. This position partners closely with HR, Finance, and business leaders to ensure accurate workforce planning, effective organizational design, and streamlined recruitment operations. The analyst manages the enterprise headcount approval process, provides analytical support during annual budgeting and monthly forecasting, and delivers clear, actionable insights through dashboards and reports. The role also supports Talent Acquisition by analyzing hiring trends, coordinating approval workflows, and helping develop strategic recruitment programs. Success in this position requires exceptional analytical ability, advanced Excel expertise, strong communication skills, and the ability to manage complex processes with a high degree of accuracy and organization. Additional Essential Functions • Ensure compliance with Northwest's policies and procedures, and Federal/State regulations • Navigate Microsoft Office Software, computer applications, and software specific to the department in order to maximize technology tools and gain efficiency • Work as part of a team • Work with on-site equipment Additional Responsibilities • This role is ideal for someone who thrives at the intersection of reporting, headcount governance, and talent program and process development • Act as liaison between HR and Finance during the annual headcount budget process to ensure accuracy in headcount planning for the year. Use data from the annual headcount plan to measure accountability for business leaders during monthly financial

  • Software Development Engineer III, Annapurna Labs

    Amazon - New York, New York, USA
    Indexed from Amazon Custom Benefit evidence checked Jun 7, 2026 Comp disclosed in posting
    posted 298 days ago
    Unspecified Engineering From the posting source - Senior From the posting source Resolvable source Verified parental leave: 6 wksource Inferred from posting Verified non-birth-parent leave: 6 wk $185K-$250K From the posting source Inferred from posting Adoption assistance Inferred from posting Childcare support Inferred from posting Fertility benefits Inferred from posting Mental health support Equity Inferred from posting 401(k) reported

    Software Development Engineer III, Annapurna Labs New York, New York, USA About the Team The Neuroboros team was recently created to pursue the ambitious goal of leveraging and expanding Generative AI technologies to help customers benefit from the scale and price/performance equation offered by Amazon Machine Learning hardware. The creation of the team in NYC is key to Annapurna Labs' location strategy, with the goal of creating an additional hub attracting top talent with varied backgrounds to work on challenging problems, using and building state-of-the-art tooling. About Amazon Annapurna Labs: Amazon Annapurna Labs team (our organization within AWS UC) is responsible for building innovation in silicon and software for our AWS customers. We are at the forefront of innovation by combining cloud scale with the world's most talented engineers. Our team covers multiple disciplines including silicon engineering, hardware design, software and operations. Because of our team's breadth of talent, we have been able to improve AWS cloud infrastructure in high-performance machine learning with AWS Neuron, Inferentia and Trainium ML chips, in networking and security with products such as AWS Nitro, Enhanced Network Adapter (ENA), and Elastic Fabric Adapter (EFA), and in computing with AWS Graviton and F1 EC2 instances. About AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. About AWS

  • Forward Deployed Engineer

    Adaptyv - Lausanne / Hybrid / Remote | Hybrid | Remote
    Indexed from Ashby
    posted 158 days ago

    Why we showed this

    Role: semantic match
    Hybrid - 2d office From the posting source Engineering From the posting source - Mid From the posting source Salary not disclosed

    Forward Deployed Engineer Lausanne / Hybrid / Remote | Hybrid | Remote Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE You're the bridge between Adaptyv's lab and the people designing proteins. Protein design platforms, pharma teams, AI labs, and biotech startups all have the same problem: they can generate designs far faster than they can test them. Your job is to close that gap - to embed with a customer, understand their pipeline, and wire

  • Staff Backend Engineer - Adaptive Telemetry | USA | Remote

    Grafana Labs - United States (Remote)
    Indexed from Greenhouse Benefit evidence checked Jun 7, 2026 Comp disclosed in posting
    posted 277 days ago

    Why we showed this

    Description: "adaptive"Title: "adaptive"
    Remote From the posting source Engineering From the posting source - Staff Plus From the posting source $175K-$210K From the posting source Equity Inferred from posting 401(k) reported

    Staff Backend Engineer - Adaptive Telemetry | USA | Remote United States (Remote) Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers - including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce - trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we're backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We're scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that's okay. If this role excites you, we'd love you to raise your hand for what could be a truly career-defining opportunity. Staff Backend Engineer - Adaptive Telemetry This is a remote position. We are looking for candidates in the USA

  • Machine Learning Systems Engineer, RL Engineering

    Anthropic - San Francisco, CA | New York City, NY | Seattle, WA
    Indexed from Greenhouse Comp disclosed in posting
    posted 396 days ago

    Why we showed this

    Role: semantic match
    Unspecified Engineering From the posting source - Mid From the posting source $500K-$850K From the posting source Equity

    Machine Learning Systems Engineer, RL Engineering San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: You want to build the cutting-edge systems that train AI models like Claude. You're excited to work at the frontier of machine learning, implementing and improving advanced techniques to create ever more capable, reliable and steerable AI. As an ML Systems Engineer on our Reinforcement Learning Engineering team, you'll be responsible for the critical algorithms and infrastructure that our researchers depend on to train models. Your work will directly enable breakthroughs in AI capabilities and safety. You'll focus obsessively on improving the performance, robustness, and usability of these systems so our research can progress as quickly as possible. You're energized by the challenge of supporting and empowering our research team in the mission to build beneficial AI systems. Our finetuning researchers train our production Claude models, and internal research models, using RLHF and other related methods. Your job will be to build, maintain, and improve the algorithms and systems that these researchers use to train models. You'll be responsible for improving the speed, reliability, and ease-of-use of these systems. You may be a good fit if you:

  • Senior Manager, Commercial Energy

    ICF International INC - 2 Locations
    Indexed from Workday Benefit evidence checked Jun 7, 2026 Comp disclosed in posting
    posted 187 days ago

    Why we showed this

    Description: "adaptive"Apply link reachable when checked
    Unspecified Operations From the posting source - Senior From the posting source $108K-$184K From the posting source Inferred from posting Learning budget Equity Inferred from posting 401(k) reported

    Senior Manager, Commercial Energy 2 Locations Senior Manager, Commercial Energy Location: Albuquerque, NM Ready to make a difference? We are seeking a dynamic Senior Manager within our Utility Programs and Services (UPS) Division to serve as a Portfolio Lead, Senior Program Manager, and Launch Manager-driving and expanding ICF's utility business throughout New Mexico. This role is designed to be highly flexible and adaptable, enabling you to support a variety of projects and program models based on business needs. The Senior Manager will be assigned to different portfolios across New Mexico, offering a unique opportunity to shape, build, and scale a portfolio within a fast-growing business. This position requires deep knowledge of energy efficiency, for both gas and electric utilities including electrification technologies for commercial and residential building systems, and demand side management. The successful candidate will be called upon to lead new program approaches that demand seasoned, senior-level experience, oversee the launch of new initiatives where team structures are still evolving, and provide critical management support for complex programs or launches requiring additional leadership. You will develop and manage pipelines of new and existing customers and trade allies, ensuring program participation goals are met while adapting to the unique challenges and opportunities that each new project presents. Internally, you will guide program operations, manage budgets and performance, cultivate client relationships, hire and mentor staff, and design and implement adaptive program strategies. You'll also play a significant role in supporting program and account managers with data analysis, reporting, application review, forecasting,

  • Engineering Manager, Fleet Reliability

    Fal - Remote
    Indexed from Greenhouse
    posted 185 days ago

    Why we showed this

    Role: semantic match
    Remote From the posting source Engineering From the posting source - Mid From the posting source Salary not disclosed

    Engineering Manager, Fleet Reliability Remote fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products. As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on. About the role We're hiring an Engineering Manager to build and run Fleet Reliability: the function that keeps every GPU node we own provisioned, validated, and alive. The fleet is about to 10x. You'll hire the team, set the bar, write the playbooks, and own the operating model. You're a fit if you've: - 7+ years in infrastructure, software, or SRE, with 2+ years leading - Run a fleet reliability or hardware ops team in production - Built SRE fundamentals into a team from scratch: incident management, postmortems, observability, change management - Pushed teams toward automation over toil Who you are: - Player-coach. - Process-oriented without being bureaucratic - Allergic to toil. Every recurring problem is an automation opportunity - Carry the pager yourself before asking your team to Responsibilities: - Build and lead the Fleet Reliability team: hire, develop, retain - Own 24/7

  • Staff Backend Engineer - Adaptive Telemetry | Canada | Remote

    Grafana Labs - Canada (Remote)
    Indexed from Greenhouse Benefit evidence checked Jun 7, 2026 Comp disclosed in posting
    posted 277 days ago

    Why we showed this

    Description: "adaptive"Title: "adaptive"
    Remote From the posting source Engineering From the posting source - Staff Plus From the posting source CAD 186K-224K From the posting source Equity Inferred from posting 401(k) reported

    Staff Backend Engineer - Adaptive Telemetry | Canada | Remote Canada (Remote) Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers - including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce - trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we're backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We're scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that's okay. If this role excites you, we'd love you to raise your hand for what could be a truly career-defining opportunity. Staff Backend Engineer - Adaptive Telemetry This is a remote position. We are looking for candidates in the Canadian time

  • Machine Learning Engineer - Personalization

    Spotify - New York, NY
    Indexed from Lever
    posted 202 days ago

    Why we showed this

    Role: semantic match
    Unspecified Data From the posting source - Mid From the posting source Salary not disclosed Equity

    Machine Learning Engineer - Personalization New York, NY The Personalization (PZN) team makes deciding what to play next on Spotify easier and more enjoyable for every listener. We seek to understand the world of music, podcasts and audiobooks better than anyone else so that we can make great recommendations to every individual and keep the world listening. Every day, hundreds of millions of people all over the world use the products we build which include destinations like Home and Search as well as original playlists such as Made For You, Discover Weekly and Daily Mix. Our team's mission is to bring emerging search and agentic experiences to a mature state: exploring, defining, building, validating and optimizing new ideas. These can include new content types in our Search engine or emerging user interaction patterns. The Personalization (PZN) team makes deciding what to play next on Spotify easier and more enjoyable for every listener. We seek to understand the world of music, podcasts and audiobooks better than anyone else so that we can make great recommendations to every individual and keep the world listening. Every day, hundreds of millions of people all over the world use the products we build which include destinations like Home and Search as well as original playlists such as Made For You, Discover Weekly and Daily Mix. Our team's mission is to bring emerging search and agentic experiences to a mature state: exploring, defining, building, validating and optimizing new ideas. These can include new content types in

  • Machine Learning

    Microsoft - Mountain View, CA, US, Redmond, WA, US, New York, NY, US
    Indexed from Microsoft Custom Benefit evidence checked Jun 13, 2026
    posted 341 days ago

    Why we showed this

    Role: semantic match
    Unspecified Data From the posting source - Mid From the posting source Salary not disclosed Equity Inferred from posting 401(k) reported

    Machine Learning Mountain View, CA, US, Redmond, WA, US, New York, NY, US

  • Engineer Radio Capacity F/H

    Orange - 6TH OF OCTOBER CITY, EGYPT
    Indexed from Phenom People
    posted 156 days ago
    Unspecified Engineering From the posting source - Mid From the posting source Salary not disclosed

    Engineer Radio Capacity F/H 6TH OF OCTOBER CITY, EGYPT You will be part of a team of several radio dimensioning engineers, whose role is to help the subsidiaries embedded in the REC anticipate and adapt the capacity needs of the 2G/3G/4G/5G (6G in the fut...

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