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Since 2018, we&#39;ve been pioneering data-centric approaches that are fundamental to AI development, and our work becomes even more essential as AI capabilities expand exponentially.</p>\n<p>We&#39;re the only company offering three integrated solutions for frontier AI development:</p>\n<p>Enterprise Platform &amp; Tools: Advanced annotation tools, workflow automation, and quality control systems that enable teams to produce high-quality training data at scale</p>\n<p>Frontier Data Labeling Service: Specialized data labeling through Alignerr, leveraging subject matter experts for next-generation AI models</p>\n<p>Expert Marketplace: Connecting AI teams with highly skilled annotators and domain experts for flexible scaling</p>\n<p>Why Join Us</p>\n<p>High-Impact Environment: We operate like an early-stage startup, focusing on impact over process. 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If you encounter anything that raises suspicions during your interactions, we encourage you to exercise caution and suspend or discontinue communications.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_fe04c8cc-782","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Labelbox","sameAs":"https://www.labelbox.com/","logo":"https://logos.yubhub.co/labelbox.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/labelbox/jobs/5101195007","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$180,000-$220,000 USD","x-skills-required":["Software engineering experience (Python)","Containerization and sandboxing (Docker, Firecracker, or similar)","Reinforcement learning fundamentals (MDPs, reward design, episode structure, observation/action spaces)","Infrastructure, developer tooling, or distributed systems","Debugging skills and systems thinking"],"x-skills-preferred":["Experience building or working with RL environments (Gym, PettingZoo) or agent benchmarks (SWE-bench, WebArena, OSWorld, TerminalBench)","Familiarity with cloud infrastructure (GCP or AWS)","Prior experience in AI/ML platforms, data companies, or research environments","Contributions to open-source projects in RL, agents, or developer tooling"],"datePosted":"2026-04-18T15:56:05.491Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco Bay Area"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Software engineering experience (Python), Containerization and sandboxing (Docker, Firecracker, or similar), Reinforcement learning fundamentals (MDPs, reward design, episode structure, observation/action spaces), Infrastructure, developer tooling, or distributed systems, Debugging skills and systems thinking, Experience building or working with RL environments (Gym, PettingZoo) or agent benchmarks (SWE-bench, WebArena, OSWorld, TerminalBench), Familiarity with cloud infrastructure (GCP or AWS), Prior experience in AI/ML platforms, data companies, or research environments, Contributions to open-source projects in RL, agents, or developer tooling","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":180000,"maxValue":220000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_39322317-ed9"},"title":"Sales Engineer, tvScientific","description":"<p>We&#39;re looking for a Sales Engineer to be the go-to technical partner for our customers. 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You&#39;ll have the chance to develop your skills and expertise in a fast-paced and dynamic environment.</p>\n<p>If you&#39;re a motivated and results-driven individual who is passionate about technology and sales, we encourage you to apply for this exciting opportunity.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_39322317-ed9","directApply":true,"hiringOrganization":{"@type":"Organization","name":"tvScientific","sameAs":"https://www.tvscientific.com/","logo":"https://logos.yubhub.co/tvscientific.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/pinterest/jobs/7782565","x-work-arrangement":"remote","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$81,921-$168,660 USD","x-skills-required":["Strong understanding of the digital media and advertising landscape","Hands-on experience with tracking technologies","Strong debugging skills and comfort working with logs, network requests, and data validation tools","Strong communication and problem-solving skills","A proactive mindset with the ability to work cross-functionally and independently"],"x-skills-preferred":["Familiarity with programmatic platforms","Experience working with enterprise clients and complex technical stakeholders","Knowledge of analytics, conversion tracking, measurement, and attribution solutions","Working knowledge of privacy frameworks and regulations"],"datePosted":"2026-04-18T15:52:46.503Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA, US; Remote, US"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Strong understanding of the digital media and advertising landscape, Hands-on experience with tracking technologies, Strong debugging skills and comfort working with logs, network requests, and data validation tools, Strong communication and problem-solving skills, A proactive mindset with the ability to work cross-functionally and independently, Familiarity with programmatic platforms, Experience working with enterprise clients and complex technical stakeholders, Knowledge of analytics, conversion tracking, measurement, and attribution solutions, Working knowledge of privacy frameworks and regulations","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":81921,"maxValue":168660,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_8a14470f-8ac"},"title":"Senior Software Engineer – Platform","description":"<p>As a Senior Software Engineer – Platform / Infrastructure, you will join the team responsible for the core infrastructure that enables dozens (and soon hundreds) of microservices to run safely, reliably, and at scale.</p>\n<p>This is not a traditional DevOps or infra-only role. 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Our team is composed of experts in hardware and software security, working together to develop state-of-the-art IP cores and subsystems. We value collaboration, creativity, and a commitment to excellence.</p>\n<p><strong>Rewards and Benefits:</strong></p>\n<p>We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.</p>\n<p>At Synopsys, we want talented people of every background to feel valued and supported to do their best work. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability.</p>\n<p><strong>Benefits</strong></p>\n<p>At Synopsys, innovation is driven by our incredible team around the world. 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We work closely with hardware engineers to design, optimize, and ship software that bridges cutting-edge devices and real-world constraints like memory, power, and latency. Our work spans early prototyping through product launch, ensuring that our embedded platforms are robust, efficient, and production-ready.</p>\n<p><strong>About the Role</strong></p>\n<p>As an <strong>Embedded Software Engineer</strong>, you will design, implement, and debug software for embedded devices. You’ll own low-level bring-up, write production C/C++ code, and partner closely with hardware teams to deliver reliable, high-performance systems.</p>\n<p>We’re looking for engineers with deep embedded expertise, strong debugging skills, and a passion for building systems that perform under real-world conditions.</p>\n<p>This role is based in <strong>San Francisco, CA</strong>. 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