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Job DescriptionZyphra is an artificial intelligence company based in San Francisco, California. The Role: As a Research Engineer - Audio & Speech Models, you will be a core contributor on Zyphra’s Audio Team, building the next generation of open-source autoencoders, ASR, TTS, SSL, and speech-to-speech models. You will be deeply involved in the entire model training process, from data gathering and processing to designing novel architectures and training methodologies. You’ll Work Across: Large-scale audio training runs Performance optimization of our training stack Audio dataset collection, processing, and evaluation Architecture and training methodology ablations and improvements What We're Looking For / Requirements: Strong research taste and intuition. The ability to work through a research project from conception to execution to write-up. Strong implementation and prototyping ability (can take an idea from conception to experimentation quickly) The ability to work well with others in a high-paced research setting Excellent communication and collaboration skills, and can work effectively on both research and engineering implementation at scale Qualifications / Additional Skills: Expertise and intuition for training models in the audio domain, including text-to-speech, ASR, speech-to-speech, speech-emotion-recognition, or other models Experience in training audio autoencoders Understanding of signal processing, especially of audio signals Experience with diffusion models, consistency models, or GANs Experience with training on large-scale (multi-node) GPU clusters Strong grasp of proper experimental methodology for running rigorous ablations and other hypothesis testing Understanding of and interest in large-scale, highly parallel data processing pipelines Proficiency with PyTorch and Python Experience contributing to large pre-existing codebases and rapidly getting up to speed Previously published machine learning research in well-respected venues Postgraduate degree in a scientific subject (Computer Science, EE/EECS, Mathematics, Physics, Machine Learning) Why Work at Zyphra: Our research methodology is grounded in methodical, step-by-step approaches to ambitious goals. Both deep research and engineering excellence are equally valued We strongly value new and crazy ideas and are very willing to bet big on new ideas We move as quickly as we can; we aim to minimize the bar to impact as low as possible We all enjoy what we do and love discussing AI Benefits and Perks: Comprehensive medical, dental, vision, and FSA plans Competitive compensation and 401(k) plan Relocation and immigration support on a case-by-case basis In-office snacks and meals provided Unlimited PTO and company holidays In-person team in San Francisco with a collaborative, high-energy environment

Job DescriptionAbout the Role Join an early-stage consumer AI startup as a Founding Engineer — a rare 1-of-1 role working directly alongside the founding team to shape both the product and engineering culture. This company is building a real-time AI-enabled platform designed to digitize human connection, making AI interactions feel genuinely present and personal. You'll help lay the technical foundation from the ground up in a fast-moving, high-ambition environment. What You'll Do Build across the full application, collaborating closely with the founder, design team, and other engineers. Design and implement systems for memory, retrieval, proactivity, and AI responsiveness. Integrate real-time video generation and audio synthesis models — both internal and third-party. Set the bar for engineering quality and play an active role in recruiting world-class talent. Extensively use the product yourself to ensure real user value and quality. What We're Looking For Required: Computer Science degree from a top university. Required: 2–7 years of professional software engineering experience (not a new grad). Required: Strong CS fundamentals and a track record of technically complex side projects. Required: High energy, entrepreneurial spirit — prior startup or fast-moving environment experience strongly valued. Required: Proficiency in Python, including typed scientific Python. Bonus: Experience with real-time media, vision/video model training or deployment, memory systems, or audio synthesis. Bonus: Familiarity with agentic coding or AI-assisted development workflows. Compensation & Benefits Salary: $175,000 – $225,000 USD annually Visa sponsorship available Location This role is fully on-site in San Francisco, CA. Candidates must be willing and able to work in-person full-time.

Job DescriptionFounding AI/ML Engineer Company: Confidential — venture-backed technology company Location: San Francisco, CA or New York, NY Compensation: $165,000 - $250,000 + 0.3% - 1% equity Employment Type: Full-time Visa Sponsorship: Not available About the Company The client helps law enforcement search evidence and solve crime. Police and prosecutors across the US use it to accelerate investigations into homicides, cold cases and other major offenses by reducing digital evidence overload, with about 10 live agency deployments and paying customers. The client was founded in 2025 by ex-Palantir and ex-IDF engineers who have built national-scale systems, and is backed by Y Combinator (W25), CRV, Hawktail, Liquid2 and Adverb. The Role As an early engineer you will shape the client's AI backbone, processing massive video, audio and text datasets to surface investigative leads. The work spans backend infrastructure and applied ML: building retrieval pipelines, integrating LLMs and VLMs, and deploying secure, distributed systems in sensitive environments, end to end from data-flow design to production. What You Will Do • Build retrieval pipelines over large video, audio and text datasets., • Integrate LLMs and VLMs into investigative workflows., • Deploy secure, distributed systems in sensitive environments., • Ship end to end, from data-flow design to production deployment.What You Bring, • 3+ years of engineering experience across backend infrastructure and applied ML, • Experience shipping end to end in production, • Comfort in fast-paced, high-impact settings, • Eligibility for FBI/CJIS clearance (sponsored by the company)Benefits Free lunches and dinners, 3% 401(k) contribution, unlimited PTO, full health and dental, gym reimbursement, and FBI/CJIS clearance sponsorship. Before you apply: get a free recruiter-readiness score for your resume at CareerStanding — about a minute, no signup, and your resume stays in your browser.

Job DescriptionWhy AssemblyAI AssemblyAI builds the best-in-class Voice AI models powering the next generation of voice applications. Our models serve 600M+ inference calls monthly, process 1M+ hours of audio daily, and power 2 billion+ end-user experiences. The Voice AI space is at an inflection point; we're looking for folks truly excited to join a small team and help define the future of the industry. We are one of the most capital-efficient AI companies on the planet - with under 100 people generating roughly $600K ARR per employee, we sit among the top 5 most revenue-dense teams within the fastest-growing AI companies today. That's not an accident; it's a deliberate choice to stay lean, move fast, and give every person on the team outsized ownership and impact. With thousands of customers including Granola, Fireflies, Figure AI, and CallRail, the company has real scale - processing over 2 million hours of audio daily and handling more than 1 million API calls every day. This is a rare growth-stage opportunity where the business is proven and the trajectory is steep, but the team is still small enough that your fingerprints are on everything. If you've ever felt buried under layers of bureaucracy, starved of real ownership, or frustrated watching your work disappear into a slow-moving org, AssemblyAI is built differently. The company operates as a true meritocracy, with no heavy planning or approval processes and no gatekeeping on the tools or information you need. For anyone who genuinely cares about voice AI, not as a trend to chase, but as a technology to build, this is the place where the most interesting problems at the most interesting scale are being solved by a team small enough that you'll actually know everyone's name. We're committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. No matter your race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply! About the role: AssemblyAI runs a mature, multi-framework security and compliance program—including SOC 2 (all trust criteria), ISO 27001, and PCI 4.0—that protects the infrastructure and customer data behind our industry-leading Voice AI API. We're hiring a Security Operations Engineer to join our IT & Security team and take day-to-day ownership of the operational backbone of that program. This role is centered on security operations and GRC: running compliance audit cycles end to end, gathering and organizing evidence, enforcing and verifying controls, executing access reviews, managing vulnerability triage and remediation follow-up, and responding to customer security questionnaires. It's the work that turns a security program on paper into one that demonstrably runs. You'll also have room to grow the technical side of the role. We automate wherever we can, and you'll be encouraged to build scripts, integrations, and tooling that reduce manual toil and improve the program. This is a high-ownership role on a small team. You'll work closely with engineers across the company, partner with sales and legal on customer-facing security needs, and have a direct hand in how AssemblyAI enforces security across its products, infrastructure, and internal tools—including a rapidly growing landscape of agentic AI development. What You'll Do: • Drive SOC 2, ISO 27001, PCI 4.0, and other compliance audit cycles: gather and organize evidence, document, design, and build controls, coordinate directly with auditors through fieldwork, and collaborate with internal teams on remediation., • Own the compliance automation platform (Vanta): monitor control status, chase down failing checks, keep integrations healthy, and update the risk register as the business and infrastructure evolve., • Run vendor and third-party risk reviews, security assessments of new tools, periodic re-reviews, and track subprocessor and vendor inventories., • Partner with sales and legal responding to customer and vendor security questionnaires, RFP security sections, and trust-and-safety inquiries., • Drive vulnerability triage and prioritization across teams, tracking remediation against SLAs and reporting metrics to stakeholders., • Monitor and respond to alerts from endpoint, cloud, identity, and application security tools; investigate, escalate, and close the loop., • Support incident response for security events: evidence collection, timeline construction, documentation, and tracking of post-incident action items., • Maintain and improve security runbooks, process documentation, and operational playbooks., • Build automation to reduce the manual burden via scripts, integrations, reporting, and tooling.What You'll Need:, • 3+ years of experience in security operations, GRC, IT security, or a related role, • 2+ years of experience with compliance audit cycles—you've gathered evidence, documented controls, and worked with auditors, • One or more security certifications—CISA, Security+, AWS Security Specialty, or equivalent, • Experience executing recurring security operations work: security reviews, vulnerability tracking, alert triage, or control monitoring, • Strong organization—you can run a multi-week evidence collection cycle across many stakeholders without dropping threads, • Strong written communication skills—you'll write audit documentation, security questionnaire responses, policy documents, and runbooks regularly, • Proficiency in Python and comfort reading code written by others, • Experience using AI-assisted development tools (e.g., Claude Code, Copilot, or similar) to write scripts, build automations, and accelerate documentation—AI tool fluency is a core expectation at AssemblyAI, • Role is for US based candidates onlyNice to have, • Application security fundamentals: threat modeling, secure code review, or familiarity with common vulnerability classes (OWASP Top 10, CWE), • Experience with security tooling across the development lifecycle—SAST, SCA, DAST, secret scanning, or IaC scanning—and routing findings to the right owners, • Familiarity with infrastructure-as-code (Terraform preferred) and CI/CD pipeline security, • Working knowledge of cloud infrastructure (AWS preferred), including IAM concepts, and of identity and SaaS administration, • Experience building or maintaining SIEM detections, queries, and alerting pipelines, • Familiarity with endpoint security platforms and cloud security posture tooling, • Experience securing AI/ML systems or inference infrastructure, • Experience at a high-growth startup in a security role Pay Transparency: AssemblyAI strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on paying competitively for our size, stage, and industry, and are one part of many compensation, benefit, and other reward opportunities we provide. There are many factors that go into salary determinations, including relevant experience, skill level, qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. The provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range which will be communicated to candidates throughout the interview process. Salary range: $180,000 - $220,000 USD The expected base compensation for this role is listed above. Our total compensation package includes competitive equity grants, 100% employer-paid benefits, and the flexibility of being fully remote. A 401k match up to 4% is offered to all US-based full time team members. AI to Interview: If you're selected for an interview, please review this resource to better understand how AssemblyAI approaches the use of AI in our interview process. GDPR privacy notice: Candidates from the EU should review this job applicant privacy notice before applying. Keep Exploring AssemblyAI: Speech-to-text | Streaming speech-to-text | Speech Understanding | LLM Gateway Try the Playground Our $50M Series C fundraise Check us out on YouTube!

Job DescriptionWhy AssemblyAI AssemblyAI builds the best-in-class Voice AI models powering the next generation of voice applications. Our models serve 600M+ inference calls monthly, process 1M+ hours of audio daily, and power 2 billion+ end-user experiences. The Voice AI space is at an inflection point; we're looking for folks truly excited to join a small team and help define the future of the industry. We are one of the most capital-efficient AI companies on the planet - with under 100 people generating roughly $600K ARR per employee, we sit among the top 5 most revenue-dense teams within the fastest-growing AI companies today. That's not an accident; it's a deliberate choice to stay lean, move fast, and give every person on the team outsized ownership and impact. With thousands of customers including Granola, Fireflies, Figure AI, and CallRail, the company has real scale - processing over 2 million hours of audio daily and handling more than 1 million API calls every day. This is a rare growth-stage opportunity where the business is proven and the trajectory is steep, but the team is still small enough that your fingerprints are on everything. If you've ever felt buried under layers of bureaucracy, starved of real ownership, or frustrated watching your work disappear into a slow-moving org, AssemblyAI is built differently. The company operates as a true meritocracy, with no heavy planning or approval processes and no gatekeeping on the tools or information you need. For anyone who genuinely cares about voice AI, not as a trend to chase, but as a technology to build, this is the place where the most interesting problems at the most interesting scale are being solved by a team small enough that you'll actually know everyone's name. We're committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. No matter your race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply! About the role: AssemblyAI is growing quickly, and we're hiring a Forward Deployed Engineer for our Triage team. You'll own a book of customer accounts up to $50K a year. You'll solve their technical problems directly and build and run the agents that handle our first line of customer contact. Most of your work happens in Slack, with customers and with our Engineering and Research teams. This role is hybrid. You'll need to live within commuting distance of our SF office. What You'll Do: • Own your accounts. Be the technical owner for customers spending up to $50K a year. Diagnose integration issues, unblock them fast, and spot accounts that are ready to grow. Route commercial and pricing conversations to our Portfolio team., • Build and manage agents. We run internal agents for customer support and operations, including our customer-facing chat agent, which you'll help bring back online. You'll iterate on these agents, build new ones, and own their quality., • Turn escalations into fixes. When our chat agent can't resolve something, it escalates to you. Solve the customer's problem, then fix the agent so it handles that case next time., • Close the loop with Engineering and Research. File bugs and feature requests with enough evidence to act on, and turn what customers tell you into product changes., • Improve our docs and SDKs. Fix what's confusing customers at the source.What You'll Need:, • 2+ years in a technical, customer-facing role (solutions engineering, technical support, developer relations, or software development). We'll consider 1 year for someone with a strong solutions background., • Proficiency in at least one programming language. Python preferred; other languages considered., • Daily use of coding agents like Claude Code or Codex, with real projects shipped using them. You manage context across long tasks and check agent output before it reaches a customer., • Experience with REST APIs, and the ability to read and debug customer code, • Strong written communication. Most of this job happens in Slack., • Ability to hear a customer use case and map it to what our API can doNice to Have:, • You've built an agent or automation that other people rely on, • SQL, • Experience with speech, audio, or voice AI productsWhere this role leads: Triage is where you learn our product, our customers, and how we build with agents. Engineers who do well here move into larger books on our Portfolio and Strategic teams. Your manager will work with you on what that path looks like and the timeline. Pay Transparency: AssemblyAI strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity across our team. Our salary ranges are set to be competitive for our size, stage, and industry, and reflect just one component of the full compensation, benefits, and rewards we offer. Salary determinations consider a variety of factors, including relevant experience, technical depth, skills demonstrated during the interview process, and maintaining internal equity with peers on the team. The range shared below represents a general expectation for the posted position. However, we are open to considering candidates who may fall above or below the outlined experience level—in those cases, we will communicate any adjustments to the expected salary range. The range provided applies to candidates located in the United States. For candidates outside of the U.S., compensation ranges may differ; any adjustments will be communicated throughout the interview process. Salary range: $115,000 - $135,000 Our total compensation package includes competitive equity grants, 100% employer-paid benefits, and working alongside the team in our San Francisco office. A 401k match up to 4% is offered to all US-based full time team members. AI to Interview: If you're selected for an interview, please review this resource to better understand how AssemblyAI approaches the use of AI in our interview process. GDPR privacy notice: Candidates from the EU should review this job applicant privacy notice before applying. Keep Exploring AssemblyAI: Speech-to-text | Streaming speech-to-text | Speech Understanding | LLM Gateway Try the Playground Our $50M Series C fundraise Check us out on YouTube!

Job DescriptionWhy AssemblyAI AssemblyAI builds the best-in-class Voice AI models powering the next generation of voice applications. We have a lab, and we also power our own models in our own proprietary inference environment. Our models serve 500M+ inference calls monthly, and process nearly 2 million hours of audio daily. The Voice AI space is at an inflection point; we're looking for the best talent we can find to join a rapidly scaling team that's defining the future of the industry. We are one of the most capital-efficient AI companies on the planet - and are rapidly approaching $1M ARR per employee. We sit among the top 5 most revenue-dense teams within the fastest-growing AI companies today. We have thousands of customers building with us including the top startups and world-renowned enterprises, and are serving at tremendous scale: we process nearly 2 million hours of audio daily and handle more than 15 million API calls every day. This is a rare growth-stage opportunity where the business is proven, the revenue is durable, and the growth trajectory is steep and getting steeper. We have a super flat culture and expect our employees to be deeply intimate with the details at all levels. If you've ever felt buried under layers of bureaucracy, starved of real ownership, or frustrated watching your work disappear into a slow-moving org, AssemblyAI is built differently. The company operates as a true meritocracy, with no heavy planning or approval processes and no gatekeeping on the tools or information you need. For anyone who genuinely cares about voice AI, not as a trend to chase, but as a technology to build, this is the place where the most interesting problems at the most interesting scale are being solved by a team small enough that you'll actually know everyone's name. About the Role We're hiring our first Senior GTM AI Engineer. This is a software engineering job inside the revenue org. You will build the pipelines, internal tools, and agents that decide which companies we go after, how we reach them, and what our sellers see when they open their laptop in the morning. Most of what a sales ops team used to do by hand is now something you can write software to do. Finding every company building voice AI before they contact us. Researching an account and drafting the first email. Watching product usage and telling an AE when a customer is about to expand or churn. Keeping the CRM clean without anyone filling in forms. You will build those systems, run them in production, and be judged on whether pipeline and revenue move. Your users are our AEs, SDRs, and GTM leaders. Your job is to make a small team perform like one three times its size. What You'll Do • Write code every day. Python services, SQL models, scheduled jobs, and small internal apps are most of the job. You'll use Claude Code and similar tools to ship in days what used to take a quarter., • Build agents that do the work: account research, lead qualification, outreach drafting, CRM hygiene, and usage monitoring. Design them, give them tools and data, evaluate their output, and keep them running., • Turn product usage data in BigQuery and Looker into signals sellers act on: usage alerts, expansion triggers, and account health scores., • Build the account targeting machine: sourcing, enrichment, dedupe, and ICP scoring, from raw data to a ranked list in a rep's queue., • Integrate the systems the team already uses (our CRM, enrichment providers, outbound tools) so data moves between them without a human in the loop., • Keep funnel data trustworthy: routing rules, field governance, and attribution., • Prototype fast, measure what works, kill what doesn't, and work directly with Sales and Marketing leadership on what to build next., • Document what you build so it keeps running without you.What You'll Need, • 4+ years as a software engineer, data engineer, or growth/GTM engineer, with time spent shipping systems that other people depend on., • Strong Python and SQL. You have owned production automations end to end: APIs, webhooks, scheduled jobs, retries, error handling, and monitoring., • Experience building with LLMs beyond a single prompt: multi-step agents, tool use, retrieval, and evaluation. You can tell whether an agent's output is good, and you know when a plain script is the better tool., • AI-assisted development is how you work. You use Claude Code or similar tools daily, and you have the engineering judgment to review, test, and stand behind what they produce., • Solid fundamentals: clean code, version control, code review, debugging, and a habit of thinking in systems. You do not need an engineering team to ship., • Curiosity about how a sales org works. You don't need a RevOps background, but you need to care about how deals get found and closed, and be willing to learn our CRM and the tools around it quickly., • A builder's mindset with an operator's judgment: you scope for business impact, ship iteratively, and measure results in pipeline and revenue., • Low ego, high ownership, and comfort being the single-threaded owner of an entire domain.Nice to Have, • Hands-on Salesforce or other CRM work at the object and API level, or experience with enrichment and outbound tools like Clay., • dbt, BigQuery, and Looker, or an equivalent warehouse and BI stack., • Time at a developer-facing or API-first company, or selling to technical buyers., • You've been the first engineer in a sales or growth org and built the function from scratch. Pay Transparency: AssemblyAI strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on paying competitively for our size, stage, and industry, and are one part of many compensation, benefit, and other reward opportunities we provide. There are many factors that go into salary determinations, including relevant experience, skill level, qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. The provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range which will be communicated to candidates throughout the interview process. Salary range: $160,000 to $220,000 Using AI in your interview If you're selected for an interview, please read our Candidate AI Guidance. It explains how you can use AI at each stage of our process, from your application and take-home to the interviews themselves. GDPR privacy notice If you're applying from the EU or UK, please review our Job Applicant Privacy Notice before applying. Keep exploring AssemblyAI Transcribe: Speech-to-Text | Streaming Speech-to-Text Understand: Speech Understanding | LLM Gateway Interact: Voice Agent API | Dictation API Try our models in the Playground See how 50+ LLMs rank on real voice tasks: Voice Standard Bench Watch us on YouTube

Job Description About Eko Health Eko builds AI and digital tools to enable every healthcare provider to more accurately detect heart and lung disease – the leading causes of death globally. Our FDA cleared, industry leading products are used by hundreds of thousands of clinicians on millions of patients around the world. With Eko, clinicians can detect cardiac and pulmonary disease with higher accuracy, diagnose with more confidence, manage treatment effectively, and ultimately give their patients the best care possible. We have strong venture capital backing from investors like Artis Ventures, Questa Capital, Highland Capital, and Mayo Clinic Ventures. Recognized by TIME magazine in 2025 as one of the world’s top healthcare technology companies, Eko is one of the fastest growing digital health companies with products used around the world at some of the most prestigious health systems. We have more than 8 FDA clearances including novel AI algorithms, and we invest heavily in quality clinical research and R&D to build and validate exceptional products for patients we care deeply about. We’ve built a mission driven, high performing, talented, and diverse team of engineers, physicians, PhD’s, creatives, and technologists. We are committed to investing in each other and our mission to ensure all patients have access to high quality care. We are headquartered in Emeryville, California and privately-held with world class investors and partners. Role Summary We're seeking a senior electrical engineer to join our core engineering team and help us build lifesaving medical devices. You'll work daily with mechanical, acoustic, firmware, algorithm, and quality engineers, as well as our contract manufacturers and component vendors. You'll design the electronics that capture heart sounds, lung sounds, and ECG signals, power our devices, and send data wirelessly to our apps. The role covers both our shipping products and our next generation of hardware. On shipping products, you'll lead root cause analysis of field failures, qualify second-source components, and work with our contract manufacturers to improve yield. On new products, you'll help define the hardware architecture and take designs from schematic through production. We encourage engineers to work outside their core discipline, and you're welcome to contribute to sensor, algorithm, and firmware development where you have the skills. This is a hands-on role with significant time spent in the lab. Essential Functions ● Design, develop, and test electronics for digital stethoscopes and related products with a cross-functional engineering team ● Help define the architecture of next-generation hardware ● Design schematics and PCB layouts for mixed-signal, battery-powered boards ● Become an expert on capturing biological signals such as PCG and ECG ● Bring up new hardware, run verification testing, and contribute to DFMEA ● Lead root cause analysis of field failures and implement design fixes ● Find and qualify second-source and replacement components ● Develop manufacturing tests with contract manufacturers and improve production yield ● Work with electronics vendors on manufacturability, cost, and build specifications ● Lead safety, EMC, and wireless testing with outside labs (IEC 60601-1, IEC 60601-1-2, FCC) ● Contribute to sensor, algorithm, and firmware development where you have the skills ● Navigate medical device regulatory requirements and contribute to design control documentation Required Qualifications ● Bachelor's or Master's degree in Electrical Engineering or a related field ● 5+ years of electrical engineering experience ● Track record of taking electronic products from concept through production, with hands- on design of both analog and digital circuits ● Experience designing low-noise analog circuits such as sensor front ends, amplifiers, filters, and ADC interfaces ● Experience with schematic capture and PCB layout for mixed-signal boards, including grounding, power integrity, and EMC/ESD design practices ● Experience with battery-powered designs, including power management, charging, and low-power operation ● Experience supporting products in production, including root cause analysis, component substitution, and working with contract manufacturers ● Ability to do the analysis behind a design, such as worst-case, tolerance, noise, and power budget calculations ● Comfortable in the lab with oscilloscopes, spectrum analyzers, power analyzers, and similar test equipment ● Clear written and verbal communication, including design reviews, test reports, and specifications that others can build from ● Strong problem-solving skills, attention to detail, and the ability to work across engineering, quality, and manufacturing teams Preferred Qualifications ● Experience in medical device development (FDA regulated environments, IEC 62304, design controls) ● Background in consumer electronics or consumer medical devices ● Knowledge of digital signal processing (DSP) implementation on embedded platforms ● Experience with audio signal processing or acoustic measurement systems ● Experience designing acquisition circuits for biological signals such as ECG, PCG, or EMG ● Familiarity with wireless certification processes (FCC, CE, Bluetooth SIG) ● Understanding of hardware component sourcing, bill of materials (BOM) optimization, and design for manufacturing (DFM) ● Experience with Altium Designer ● Experience with Python or other scripting languages for test automation and tooling ● Previous work in startup environments ● Contributions to open-source embedded projects Why join Eko Health? Benefits and Perks We Offer: • The opportunity to work on products that impact the health of millions of people., • Generous paid-time off, • Stock incentive plans, • Medical/Dental/Vision, Disability + Life Insurance, • One Medical membership, • Parental Leave, • 401k Matching, • Learning and Development stipend We believe the ability to listen is the ability to care. Eko was named one of the World’s Top HealthTech Companies of 2025 by TIME and Statista. This honor reflects the mission to transform cardiac and pulmonary care through AI-powered stethoscopes and digital health solutions. Case Studies & Customer Stories Eko Blog Newsroom Work Experience & Location Requirements • This role is based out of our office in Emeryville, CA, • This is a Hybrid role (In-Office days are Tuesday, Wednesday and Thursday), • Prolonged periods of sitting and working at a computer, • Must be able to perform job duties with or without reasonable accommodation Eko is proud to be an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives. We are committed to building a diverse and inclusive team. Employment offers will always be made by an Eko Health hiring manager or Talent Acquisition Partner with an @ekohealth.com email address only. We will never text you about employment offers. If you are receiving an employment inquiry or employment offer from a non 'ekohealth.com' email address, please assume it is spam. The Eko Health careers page lists only current and open positions. If you are contacted about a job not listed on the careers page, assume it is spam. If you believe you are a victim of a false employment scam, you should report these incidents to the FBI IC3. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description About the Company Our client is a fast-growing, Sequoia-backed Series B AI startup ($100M+ raised, 20x YoY revenue growth) building an autonomous market research platform. Their AI system designs and conducts expert-level customer interviews across audio, video, and text, synthesizing responses into actionable insights in hours rather than weeks. Trusted by top tech leaders and Fortune 500 enterprises including Google, Microsoft, Anthropic, and Nestlé the company manages voice, video, and device data for millions of participants globally. Founded by serial entrepreneurs alongside a world-class engineering team (with backgrounds from Jane Street, Tesla Autopilot, Harvard, and competitive programming medalists), they are scaling rapidly to transform qualitative research at scale. About the Role Seeking a Founding Security Engineer with 7+ years of experience who transitioned from a software engineering background into security. As the first dedicated security hire, you will report directly to the Co-Founder & CTO, building the security program from scratch and securing the entire LLM pipeline, multi-tenant cloud infrastructure, and product suite. Key Responsibilities • Build Security Architecture: Define and build end-to-end security architecture across the LLM pipeline, cloud infrastructure, and product features., • Embed with Engineering: Work closely with engineering pods on threat modeling, code reviews, and secure design patterns for new features., • Harden Infrastructure: Strengthen multi-tenant isolation and partner with infrastructure teams on multi-region data residency., • Compliance & Audits: Manage penetration testing, vulnerability scans, internal IT access, and serve as the technical lead for enterprise customer security reviews., • Client Engagement: Serve as the security authority in conversations with enterprise security teams during vendor assessments. Role Requirements • Experience: 7–15 years spanning software engineering and hands-on application/infrastructure security engineering., • Foundational Track Record: Proven experience building a security program from scratch at a high-growth technology company., • Education: Computer Science degree or equivalent technical degree., • Hard Skills: Expert-level threat modeling, vulnerability assessment, cloud security architecture (multi-tenant isolation), and strong code-reading/review skills., • Tech Stack: TypeScript, Threat Modeling, Vulnerability Discovery, Penetration Testing, Cloud/Infrastructure Security, IAM., • Location: Ability to work on-site 5 days a week in San Francisco, CA.

Job DescriptionAbout Avive: Avive Solutions, Inc. (https://avive.life) is a growth stage Automated External Defibrillator (AED) company with a connected response system that is rapidly gaining market share. We are a mission driven team that is quite literally saving lives. Sudden Cardiac Arrest (SCA) is a leading cause of death in the United States, and we are on a mission to change that! We are a dynamic organization that builds elegant, creative solutions to solve complex problems. Ultimately, our mission is for all cardiac arrest victims to have rapid access to life-saving defibrillation. Avive is taking a fresh approach to addressing this decades-old problem by innovating AED technology, coupled with a first-of-its-kind software platform solution to enable a quicker and more streamlined response to SCA emergencies. We believe that this unique combination of deploying advanced – yet still accessible – hardware, and software, has the potential to revolutionize out-of-hospital cardiac arrest response and massively impact SCA survival rates. Check out this short video that shows a glimpse of how our team is working to re-think cardiac arrest response and save lives! https://www.youtube.com/watch?v=2p4zfOWo62E Learn more about working at Avive: https://avive.life/careers/ Summary/Objective: We are looking for an Electrical Systems Engineer to join our R&D team and own system-level electrical development, taking projects from concept to validated, shippable hardware. This is a hands-on, highly collaborative role where you’ll solve challenging technical integration problems and drive benchtop prototyping, debugging, and test execution for both new and existing products. As a fast-paced company with a small team, at Avive you'll quickly gain exposure to every stage of the product development cycle and have the opportunity to directly see the life-saving impact of your work in the field Essential Duties and Responsibilities ● Collaborate cross-functionally with electrical, firmware, mechanical, manufacturing, test, and quality engineers to develop, test, and launch features for life-saving products and accessories. ● Investigate feasibility of product changes, explore new and alternate peripheral components, and work closely with both electrical and firmware team members to integrate these modules into the existing design. ● Support benchtop programming and bring-up of new PCBAs. Validate electronics for production readiness. ● Analyze firmware-hardware interactions to identify failure mechanisms, determine trade-offs, and recommend design improvements. ● Support ongoing manufacturing of products through BOM improvements, alternate component selection and qualification, and debug of failed devices from the manufacturing line. ● Support products in the field through cross-functional debugging spanning electrical failure analysis, system log reviews, and collaboration with the quality, manufacturing, and customer success teams. ● Debug circuit behavior across a wide range of electronic modules (MCUs, switching power supplies, high voltage, ECG, audio, cellular, Wi-Fi, and more). ● Instrument, operate, and interpret data from oscilloscopes, multimeters, power supplies, logic analyzers, and other lab equipment to characterize system behaviors. ● Design and execute test suites, analyze data, present data-driven conclusions, and document results through technical reports. Required Education and Experience ● B.S. in Electrical or Computer Engineering ● 3+ years of experience shipping hardware to the field ● Strong technical foundation in circuit theory and analysis. ● Hands-on experience designing, testing, and analyzing mixed-signal circuitry. ● Familiarity with embedded firmware Preferred Experience and Qualifications ● Experience with PCB design tools (e.g., Altium Designer) ● Experience with scripting programming tools (e.g., Python) ● Experience working on medical or health devices (e.g., in an FDA or ISO regulated environment) Equal Employment Opportunity It is the policy of the company to provide equal employment opportunity to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, the company will provide reasonable accommodations for qualified individuals with disabilities. NOTE: This Job Description in no way states or implies that these are the only duties or functions to be performed by the incumbent. Personnel are required to follow any other job-related instructions and to perform any other job-related duties/functions requested by their supervisor. Anticipated salary range: $120,000 - $150,000 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai As a Research Engineer in Sensor Signal Processing, you will be a key contributor to the research and development of Waabi’s signal processing stack for autonomous driving. You will collaborate with our team of world-renowned scientists and engineers to build innovative, practical, and scalable solutions that handle massive amounts of sensor data (camera, LiDAR, radar, and other modalities) with low latency and high reliability. We value original, high-impact ideas and rigorous experimental validation. You will… • Be part of a multidisciplinary team of scientists and engineers working on a system that turns raw sensor data captured under diverse environments into useful signals for autonomous driving., • Design and implement novel signal processing techniques for sensor data acquisition, fusion, and filtering., • Optimize signal processing algorithms for deployment on parallel computing architectures (e.g., CPU, GPU, DSP, and specialized accelerators)., • Collaborate with Waabi’s autonomy and hardware teams to ensure the robustness of the entire system., • Have the opportunity to make contributions to high-impact research papers submitted to top conferences or journals (e.g., TSP, TIP, ICRA, IROS, CVPR, NeurIPS, SIGGRAPH, HPG).Qualifications:, • Signal Processing Theory and Practice. You have a thorough understanding of the fundamentals of signal processing, both classical (filtering, estimation) and learning-based (image denoising and super-resolution, 2D and 3D segmentation). You know how to apply insights from the underlying mathematics (Toeplitz matrices, spectral bandwidth, M-estimators) to design robust numerical algorithms that operate on data from real-world sensors., • Real-time and Embedded Systems You have experience working with high-throughput data inputs in latency-sensitive algorithms, all under a limited compute and memory budget., • Rapid Prototyping and Shipping Production Software. You are comfortable rapidly building proofs of concept in a high level language like Python, Julia, or MATLAB. You are equally comfortable reading and developing production-quality software.Bonus:, • Industry experience in 1D (audio), 2D (image), 3D (point cloud), or 4D (radar) signal processing., • Experience with numerical algorithms and mathematical optimization: BLAS, CHOLMOD, Gauss-Newton, L-BFGS, linear programming., • Experience with real-time methods: causal and recursive filters, recurrent neural networks, transformers, • Experience with systems programming: buffer management, asynchronous communication, hardware accelerators., • Solid knowledge in performance profiling and optimization. The US yearly salary range for this role is: $155,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits: • Competitive compensation and equity awards., • Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only)., • Unlimited Vacation., • Flexible hours and Work from Home support., • Daily drinks, snacks and catered meals (when in office)., • Regularly scheduled team building activities and social events both on-site, off-site & virtually., • As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description:\n\nCompany Description\n\nEXTENDED FOR INFORMATIONAL PURPOSES ONLY\nThis announcement has been amended and extended to reflect changes with the application deadline date. Applicants who already applied under recruitment TPV-7372-160266 during the filing period of October 20, 2025, through September 4, 2026, need not to reapply and will be included in the applicant pool.\n10/12/26: Extended application deadline to October 23, 2026\nTYPE OF APPOINTMENT: PROVISIONAL (TPV)\nA provisional appointee must participate and be successful in a Civil Service Examination process for this classification and be selected through an open competitive process in order to be considered for a permanent appointment. Provisional appointments may not exceed three (3) years.\nSpecific information regarding this recruitment process is listed below:\n\n Application Opening: October 20, 2025\n Application Deadline: October 23, 2026 at 5:00 PM PST\n Salary Range: $141,310.00 \n Recruitment ID: TPV–7372–160266\n\nWorking at SFO:\nSan Francisco International Airport (SFO), an enterprise department of the City and County of San Francisco, has a workforce of approximately 1,900 City employees and is committed to being a diverse, equitable, and inclusive employer.\nSFO is more than an airport—we are a dynamic organization where employees collaborate with a wide range of stakeholders to support global travel, economic development, and public service. We are recognized as a leader in environmental sustainability, equity, and forward-thinking infrastructure, and continue to be at the forefront of transforming the travel experience.\nOur mission is to deliver an airport experience where people and our planet come first.\nOur Vision, Mission, and Core Values shape our culture and operations as we continue to build a supportive, purpose-driven workplace where all employees can thrive.\nLearn more about careers at SFO at flysfo.com, and follow us on Facebook, Instagram, YouTube, LinkedIn, Bluesky and Threads.\nThe San Francisco International Airport (SFO) is seeking a dynamic journey-level Stationary Engineer to join a world class organization. As a Plant Operator and/or plant mechanic, you will be tasked with operating and maintaining a wide variety of complex machinery and equipment in a sewage treatment plant. Job Description\n\nUnder general supervision, incumbents in this journey-level position function as plant operators and/or plant mechanics and are responsible for operating and maintaining a wide variety of complex machinery and equipment in a sewage treatment plant.\n The essential functions of this classification include, but are not limited to, the following:\n\n Makes regular visual, audio, olfactory and tactile inspections and/or manual tests of all plant machinery and equipment, including auxiliary equipment, in an assigned area or pumping station, maintaining logs and records of required maintenance, completed maintenance, equipment and work order history by taking periodic readings of gauges and meters to ensure that sewage plant is working safely, efficiently and properly; and to provide an accurate record of maintenance, preventive maintenance, equipment, and work order history.\n Performs a variety of manual tasks requiring the handling of equipment exposed to raw sewage; collects and performs simple assessments of raw sewage and chemical samples on prescribed schedule at specific locations by making chemical and physical assessments to assess the efficiency of the treatment processes and to ensure compliance with the NPDES Permit (National Pollution Discharge Elimination System, Permit).\n Operates, inspects, maintains, overhauls and makes major and minor repairs to wide variety of pumping, heating, ventilating, process machinery and equipment in a wastewater treatment plant or pumping station, including pumps, bar racks, grit collectors, conveyors and washers, chlorinators, evaporators and storage tanks, sludge collectors, drive units, deodorizing equipment and a wide variety of metering and recording devices to assure the safety and efficiency of equipment and facilities; includes lubricating and greasing machinery and equipment; cleaning and maintaining machinery, equipment and facility to ensure safety and equipment reliability.\n Inspects sewage pipelines, tanks and gates to check for the condition of equipment, for infiltration and blockage of debris and build-up of mineral deposits, etc., by draining tanks, by monitoring pressure and flow indicators and by visual inspection to determine any problem areas to ensure proper operation.\n Operates, inspects and maintains solids treatment and flocculating chemical systems by monitoring and adjusting flow indicators or controllers, by visual inspection and by analysis of samples to ensure optimum treatment.\n Operates, inspects and maintains disinfection and dechlorination systems by performing tests and analyzing sample to determine proper chemical dosages to ensure that effluent or final discharge meets Regional and State pollution control requirement.\n May assist in training and in supervising work of apprentices or other trainees by oral instruction and hands-on demonstration in the operation and maintenance of sewage treatment processes to ensure competent performance of required skills by apprentices and other trainees.\n Perform duties as listed in the 7372 Stationary Engineer, Sewage Plant class specification, which can be found on DHR’s website.\nQualifications\n\nEvery application is reviewed to ensure that you meet the minimum qualifications as listed in the job ad. Please review our articles on Employment Application and Minimum Qualifications and Verification of Experience and/or Education for considerations taken when reviewing applications. \n1. Experience:\n\n Four (4) years of verifiable journey-level Stationary Engineer, Plant Operator and/or Plant Mechanic experience in the operation, maintenance, and repair of a variety of mechanical and electrical pumping, heating, air-conditioning, ventilating, and related plant machinery of wastewater treatment plant; government establishment; hospital; industrial, production, or commercial building; OR\n Completion of a recognized four-year Stationary Engineer Apprenticeship Program; OR\n Graduation from a recognized four-year Maritime Academy with a degree in Engineering or Technology; OR\n Possession of at least a 3rd Assistant Marine Engineer's License of any unrestricted horsepower (experience as an Oiler or Firetender will not be accepted as qualifying); OR\n Possession of an FAA Airframe or Power Plant Certificate AND four (4) years of verifiable experience in an Airframe or Powerplant mechanic or maintenance technician capacity that utilizes the certificate; AND\n\n2. License and Certification:\n\n Possession of a valid driver's license; AND\n Grade I or higher California Wastewater Treatment Plant Operator Certificate or Grade I or higher California Water Environment Mechanical Technology Certificate.\n\nDesirable Qualifications: \nThe stated desirable qualifications may be used to identify job finalists at the end of the selection process when candidates are referred for hiring.\n\n Grade II or higher California Wastewater Treatment Plant Operator Certificate.\n California Advanced Water Treatment Operator Certificate (AWTO).\n Experience working in a wastewater treatment plant.\n Availability to work flexible shifts, including evenings, overnights, weekends, and holidays.\n\nApplicants must meet the minimum qualification by the final filing date unless otherwise noted.\nOne year full-time employment is equivalent to 2,000 hours (2,000 hours of qualifying work experience is based on a 40 hour work week). Any overtime hours that you work above 40 hours per week are not included in the calculation to determine full-time employment.\nApplicants may be required to submit verification of qualifying education and experience at any point during the recruitment and selection process. If education verification is required, information on how to verify education requirements, including verifying foreign education credits or degree equivalency, can be found at https://sfdhr.org/how-verify-education-requirements.\nNote: Falsifying one’s education, training, or work experience or attempted deception on the application may result in disqualification for this and future job opportunities with the City and County of San Francisco.\nAll work experience, education, training and other information substantiating how you meet the minimum qualifications must be included on your application by the filing deadline. Information submitted after the filing deadline will not be considered in determining whether you meet the minimum qualifications.\nResumes will not be accepted in lieu of a completed City and County of San Francisco application.\nApplications completed improperly may be cause for ineligibility, disqualification or may lead to lower scores.\nVerification: Applicants are required to attach verification documentation when submitting their application.\nApplicants may be required to submit verification of qualifying education and experience at any point during the recruitment and selection process. If education verification is required, information on how to verify education requirements, including verifying foreign education credits or degree equivalency, can be found at https://sfdhr.org/how-verify-education-requirements.\nSelection Procedures: The selection process will include evaluation of applications in relation to minimum requirements. Applicants meeting the minimum qualifications are not guaranteed advancement to the interview. Depending on the number of applicants, the Department may establish and implement additional screening mechanisms to comparatively evaluate the qualifications of candidates. If this becomes necessary, only those applicants whose qualifications most closely meet the needs of the Department will be invited for an interview.\nNotes: Applicants who meet the minimum qualifications are not guaranteed advancement through all the steps in the selection procedure.\n\nAdditional Information\n\nTransportation Security Administration (TSA) Security Clearance: Candidates for employment with the San Francisco Airport Commission are required to undergo a criminal history check, including FBI fingerprints, and Security Threat Assessment in order to determine eligibility for security clearance and may be required to undergo drug/alcohol screening. Per Civil Service Commission Rule Section 110.9.1, every applicant for an examination must possess and maintain the qualifications required by law and by the examination announcement for the examination. Failure to obtain and maintain security clearance may be basis for termination from employment with the Airport Commission.\nCustoms Clearance: This position requires that the incumbent be qualified for unescorted access to the San Francisco International Airport U.S. Customs Security Area. An application for a U.S. Custom Access Seal may be submitted to Customs ONLY after employment has commenced. Employment in this position requires that the incumbent submit an application for, successfully acquire and maintain a Customs Access Seal. Per Civil Service Commission Rule 110.9.1, every applicant must possess and maintain the qualifications required by law and by the examination announcement for this examination. Failure to acquire or maintain customs access, a requirement for this position, may be basis for termination from employment with the Airport Commission. Customs Access Seal requirements and procedures are located in the Code of Federal Regulations, Title 19, Part 122, Sections 181 or 189.\nMedical Examination: Prior to appointment, candidates must successfully pass a medical examination to determine his/her ability to perform the essential functions of the job and/or the ability to meet the physical minimum requirements.\nAdditional Information Regarding Employment with the City and County of San Francisco:\n\n Information About the Hiring Process\n Conviction History\n Employee Benefits Overview \n Equal Employment Opportunity \n Disaster Service Worker\n ADA Accommodation\n Veterans Preference\n Right to Work\n Copies of Application Documents\n Diversity Statement\n\nHow to Apply:\nAll job applications for the City and County of San Francisco must be submitted through our online portal. Please visit https://careers.sf.gov/ to begin your application process. No other methods of application will be accepted.\n• Select the “I’m Interested” button and follow instructions on the screen\nComputers are available for the public (9:00 a.m. to 4:00 p.m. Monday through Friday) to file online applications in the lobby of the Department of Human Resources at 1 South Van Ness Avenue, 4th Floor and at the City Career Center at City Hall, 1 Dr. Carlton B. Goodlett Place, Room 110.\nEnsure your application information is accurate, as changes may not be possible after submission. Your first and last name must match your legal ID for verification, and preferred names can be included in parentheses. Use your personal email address, not a shared or work email, to avoid unfixable issues.\nApplicants may be contacted by email about this recruitment and, therefore, it is their responsibility to ensure that their registered email address is accurate and kept up-to-date. Also, applicants must ensure that email from CCSF is not blocked on their computer by a spam filter. To prevent blocking, applicants should set up their email to accept CCSF mail from the following addresses (@sfgov.org, @sfdpw.org, @sfport.com, @flysfo.com, @sfwater.org, @sfdph.org, @asianart.org, @sfmta.com, @sfpl.org, @dcyf.org, @first5sf.org, @famsf.org, @ccsf.edu, @smartalerts.info, and @smartrecruiters.com).\nUpon successful submission, applicants will receive a confirmation email from notification@careers.sf.gov. Keep this email for your records. If you do not receive it, your application was not submitted successfully.\nAll your information will be kept confidential according to EEO guidelines.\nRecruitment Analyst Information: If you have any questions regarding this recruitment or application process, please contact the analyst Carmen Ng, via email at carmen.ng@flysfo.com\n\nThe City and County of San Francisco encourages women, minorities and persons with disabilities to apply. Applicants will be considered regardless of their sex, race, age, religion, color, national origin, ancestry, physical disability, mental disability, medical condition (associated with cancer, a history of cancer, or genetic characteristics), HIV/AIDS status, genetic information, marital status, sexual orientation, gender, gender identity, gender expression, military and veteran status, or other protected category under the law.

Job DescriptionJoin the Sleep Fitness Movement At Eight Sleep, we’re on a mission to fuel human potential through optimal sleep. As the world’s first sleep fitness company, we’re redefining what it means to be well-rested and building the most advanced hardware, software, and AI technology to make it possible. Our products power peak mental, physical, and emotional performance by transforming every night of sleep into a personalized, data-driven recovery experience. We are trusted by high performers, professional athletes, and health-conscious consumers in over 35 countries worldwide. Recognized as one of Fast Company's Most Innovative Companies in 2019, 2022, 2023, and 2026, and twice named to TIME's “Best Inventions of the Year.” We operate like a high-performance team: fast, focused, and motivated by impact. We don’t just ship; we iterate, refine, and obsess over the details that help our members sleep better and wake up stronger. Every role at Eight Sleep is a chance to create cutting-edge technology, collaborate with world-class talent, and help shape a future where sleep isn’t passive - it’s a powerful tool for living better. If you’re tired of the ordinary and driven to build at the edge of what’s possible, this is your moment. Join us and lead the movement that’s transforming how the world sleeps and what we’re all capable of when we wake up. High Standards. No Apologies. We operate with intensity because our mission demands it. At Eight Sleep, we bring the same mindset as the world’s top performers: focused, relentless, and always pushing to be in the top 1% of our craft. Think Kobe Bryant’s mamba mentality, applied to bold ideas, next-gen tech, and flawless execution. This isn’t a 9-to-5. Our team is deeply committed, often putting in 60+ hours a week –not because we’re told to, but because we’re invested. We’re here to build fast, push limits, and deliver without compromise. If you thrive under pressure and want to do the most meaningful work of your career, you’ll feel right at home. If you’re looking for something easier –this isn’t it. The Role We’re looking for an experienced Electrical Engineer to bring new products to market. You’ll be part of a small, mission-driven team and have significant ownership over decisions. Some days you’ll be rigging up Arduino prototypes, other days you’ll be designing PCBAs for mass production in Asia. We’re growing quickly so there are ample opportunities for career growth. What You'll Build Design consumer electronic devices incorporating microcontrollers, SoCs, wireless transceivers, motor drivers, sensors, audio, and LED drivers Lead electrical system development including schematic capture, layout, bring-up and characterization, production test infrastructure, and reliability testing Collaborate extensively with mechanical engineering, embedded software, industrial design, and product team members, as well as our manufacturing team and network of overseas suppliers Generate novel ideas and prototype new product concepts and architectures to define our path forward What You'll Need to Succeed 5+ years of experience designing mixed analog and digital systems for consumer electronics or similar applications Highly proficient with ECAD packages, especially Altium Expertise with SMT and flex PCB manufacturing processes Understanding of DOE, root cause, statistical analysis and other quality measuring techniques BSEE or equivalent - MS preferred This role is based in our San Francisco office. Why join Eight Sleep? Innovation in a culture of excellence Join us in a workplace where innovation isn’t just encouraged - it’s a standard. Our flagship product, the Pod, is a testament to our culture of excellence, beloved by hundreds of thousands of customers worldwide. At Eight Sleep, you will be part of a team that continuously pushes the boundaries of technology in sleep fitness. Immediate responsibility and accelerated career growth From your first day, you’ll take on substantial responsibilities that have a direct impact on our core business and product success. We are a small team that empowers you to own your projects and see the tangible effects of your efforts, enhancing both your professional growth and our company’s trajectory. Your path will be challenging but rewarding, perfect for those who thrive in fast-paced environments aiming for high standards. Collaboration with exceptional talent Work alongside other bright minds like you: at Eight Sleep exceptional intelligence and a passion for breakthroughs are the norms. Our team members are not only experts in their fields but also avid innovators who thrive in our dynamic, fast-paced environment. Equitable compensation and continuous equity investment We extend equity participation to every full-time team member, recognizing and rewarding your direct contributions to our success. This includes periodic equity refreshments based on performance, ensuring that as Eight Sleep grows and succeeds, so do you – perfectly aligning your achievements with the broader triumphs of the company. Your own Pod - and other great benefits Every Eight Sleep employee receives the very product that defines our mission: a Pod of their own. If you join us you’ll get your own Pod, along with*: Full access to health, vision, and dental insurance for you and your dependents Supplemental life insurance Flexible PTO Commuter benefits to ease your daily commute Paid parental leave *List of benefits may vary depending on your location At Eight Sleep we continually celebrate the diverse community different individuals cultivate. As an equal opportunity employer, we stay true to our values by ensuring everyone feels they can flourish and grow. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status Compensation Range: $140K - $200K

Job Description About Internet Archive and the Open Staffing Foundation Internet Archive is a non-profit library, headquartered in San Francisco, with an ambitious mission: to provide “Universal Access to All Knowledge” — the books, web pages, audio, television and software of our shared human culture. Our 150 team members have built one of the top 300 websites in the world, https://archive.org/. The Internet Archive digitizes thousands of books a day and collects a hundred million web pages a week. In its 25+ years, it has built one of the largest digital libraries in the world by working with hundreds of national and international libraries, archives, museums, universities, and non-profits. Open Staffing Foundation (OSF) is a nonprofit that provides staffing services for the Internet Archive and other mission aligned organizations. Job Summary This role works in the Archiving & Data Services group and applies software engineering and DevOps practices as part of the engineering team. The Software Engineer helps to grow the Archiving & Data Services group’s suite of digital archiving, data, and access products and services for a global set of partner research, government, memory, and social good organizations. The role supports values-aligned products, at petabyte scale, run in our self-owned and operated data centers, and helps ensure preservation and access to digital information for a global coalition of institutions. The successful candidate will engage in significant time overlaps with North America staff and Pacific Time Zone. The candidate must be able to attend some in-person team meetings (generally two in-person meetings per year). The role is open to US-based candidates authorized to work in the United States. Essential Duties & Responsibilities Lead projects across the full software development lifecycle: plan, design, implement, test, deploy, and maintain software solutions. Evolve system architectures and services to support future requirements, improve reliability, and reduce operational burden. Help plan and execute a migration of the team’s deployment from Ansible-based VM deployments to Kubernetes and ArgoCD-based deployments. Triage, resolve, and address root causes of production issues. Support engineering leadership with project coordination, strategic planning, and operational execution. Support the development, deployment, and operations of SaaS web applications, public search and discovery websites, and web crawling and playback operations. Build and improve foundational systems, services, and developer tools. Foster a culture of collaboration and learning, reinforce team processes that are working, and identify potential technology or workflow improvements. Competencies to Succeed in the Role Commitment to the Archive’s mission to provide “Universal Access to All Knowledge.” Understanding of how to work well with a distributed team with diverse skills and willingness to collaborate, share information, and be open to learning from others. Ability to own production systems end to end (design, implementation, deployment, monitoring, and continuous improvement). Understanding of web protocols and how they interact with browsers, with the goal of enhancing both application delivery as well as web archiving and playback. Education and Experience Required: Five (5)+ years of experience as a Software Engineer focused on DevOps, operations, and backend engineering. Required: Experience with, or ability to learn, core technologies in use in the department, including Python, Django, Postgres, and Elasticsearch. Preferred: Experience with Kubernetes in production environments and migrating to Kubernetes-based deployments. Preferred: Technical leadership experience (mentoring, leading projects, design review) Benefits & Perks Internet Archive works with Open Staffing Foundation to recruit, hire and retain staff. Open Staffing Foundation offers a comprehensive benefits package, including PTO, paid holidays, medical, dental, and vision benefits, health savings and flexible spending accounts, commuter benefits, short-term and long-term disability coverage, and retirement programs. _ At the Open Staffing Foundation, we believe our best work happens when diverse perspectives come together. We strongly encourage applications from individuals in groups underrepresented in the tech and library industries. We are proud to be an equal-opportunity employer, committed to fair employment practices regardless of race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran status, gender identity or expression, sexual orientation, or any other characteristic protected by federal, state, or local law. We also aspire to make the online job application process accessible to any and all users. If you have a disability that impacts your ability to complete the application process, and would like to request assistance or accommodation, please contact us: info@archive.com Lastly, pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.

Job DescriptionVARITE is looking for qualified Senior Engineer, Backend & AI Systems WHAT THE CLIENT DOES? An American computer software company that offers a wide range of programs from web design tools, photo manipulation and vector creation, through video/audio editing, mobile app development, print layout and animation software. WHAT WE DO? Established in the Year 2000, VARITE is an award-winning minority business enterprise providing global consulting & staffing services to Fortune 1000 companies and government agencies. With 850+ global consultants, VARITE is committed to delivering excellence to its customers by leveraging its global experience and expertise in providing comprehensive scientific, engineering, technical, and non-technical staff augmentation and talent acquisition services. Job Title: Senior Engineer, Backend & AI Systems Location: Remote Contract Duration: 3 months with possible extension Pay Range: $65.00/hr. to $70.42/hr. on W2 HERE’S WHAT YOU’LL DO About the Role: • Client is building an AI-native data visualization creative platform, built to turn anyone into a confident data storytelling. Our app, which is in the early alpha stages, helps people go from raw data to compelling, publication-quality charts without needing to be a data scientist or designer., • We're a small, fast-moving incubator team that ships production software and cares deeply about the craft. We're looking for a senior backend engineer with a strong AI systems background to help us build the intelligence layer that makes our service feel like it actually understands data., • You'll work across our fluency engine, composition pipeline, and agentic infrastructure, and have a direct hand in how the product reasons about data and communicates with users., • We're a small team with real ownership. The problems are genuinely hard, the feedback loop is short, and the work ships to real users inside one of the largest creative platforms in the world. What You'll Work On: • Design and evolve our GraphQL API and the services behind it (Node.js, Postgres, S3, Docker/Kubernetes), • Build and improve AI-powered features: chart recommendation, data fluency, narrative generation, and agentic workflows that act on user intent, • Own the eval infrastructure by defining what "good” looks like for our AI systems, build LLM-as-judge pipelines, and drive quality improvements from signal, • Work across our composer and fluency engines: the systems that translate user data and intent into visual output, • Contribute to architecture decisions: schema design, data loading and processing patterns, and pipeline orchestration, • Partner closely with frontend engineers and designers (who often work directly in the codebase) to ship full features end-to-end Skills: What We're Looking For: • 6+ years of backend engineering experience, with strong TypeScript/Node.js fundamentals, • Hands-on experience building with LLMs: prompt engineering, structured outputs, tool use, retrieval, caching strategies, and cost/latency tradeoffs, • Experience with agentic architectures: multi-step reasoning, tool-calling agents, orchestration patterns, and the failure modes that come with them, • You think carefully about eval infrastructure, not just whether the model works today, but how you'd know if it regressed tomorrow, • You write code that's clear, well-typed, and doesn't require a comment to explain what it does. You are comfortable moving quickly and leveraging AI assistance. You can understand tradeoffs, particularly when it comes to moving quickly and code quality. Bonus Points: • A genuine enthusiasm for data visualization. You find yourself opinionated about when to use a bar chart vs. a line chart, and you know why it matters, • Experience with LangSmith, LangFuse, or similar LLM observability tooling, • Familiarity with React and willingness to read and occasionally contribute to frontend code, • Prior experience in a design-adjacent or creative tools product Education: Tech We Use • Node.js, TypeScript, GraphQL, Apollo, PostgreSQL, Drizzle ORM, Langchain, Vercel, Docker, Kubernetes, Nx monorepo, React 19, Vite, Vitest, Storybook, AWS, Azure BENEFITS: We offer a comprehensive benefits package designed to support the health, well-being, and financial security of our employees and their families. Eligible employees may receive: • Health Insurance: Medical, dental, and vision coverage, • Retirement Plans: Participation in a company-sponsored retirement savings plan., • Legal Service Plans: Offering access to attorneys for legal advice and representation. If this opportunity interests you, please respond by clicking on EasyApply. Know someone who would be perfect for this role? Refer to us and if they are hired, you could be eligible for our employee referral bonus! Help us grow our team with top talent from your network. VARITE is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Job DescriptionAbout Astera Astera is a private foundation on a mission to steer science and technology toward a better future. We believe the coming years will bring an era of unprecedented scientific and technological advancement as exponential progress in AI converges with central advances in other fields to accelerate innovation. This inflection point provides an unparalleled opportunity to fundamentally rethink the institutions, systems, and tools that drive progress. We have committed a $3.5B endowment to that work and fit the form of our support to the function it serves: grants, investments, and in-house research programs. We accept meaningful risk in the research we back and expect some of it to fail because transformative ideas are rarely the ones already proven. Our projects, and the foundation itself, operate like high-velocity startups, with a high performance bar and competitive compensation to match. We are searching for leaders who are compelled by the challenge of driving high-impact change in the way science is funded, conducted, and communicated. You can read more about our mission, vision, and programming at astera.org/vision. Company Overview Astera Neuro seeks to understand and engineer consciousness. We believe consciousness is the process by which the brain builds a coherent internal model of the world and the self. We aim to understand this model and to develop the technologies to write experience directly into the brain. By combining large-scale neural recording, causal perturbation, and brain-based AI, we seek to move neuroscience from observing correlates of experience to engineering it. The same tools carry direct therapeutic promise for neurological and psychiatric diseases that alter perception, thought, and sense of self. Because the science and tools required do not yet exist, we are assembling a founding team of neuroscientists, theorists, and engineers to create them. We do high-risk, high-reward science in a well-resourced, collaborative environment with competitive pay, and share everything openly under Astera's Open Science Policy. Position Summary As a Principal Software Engineer, you will lead the computational infrastructure that the next generation of large-scale neuroscience research will depend on. Working closely with scientists and hardware engineers, you will span the full stack of our research systems, including instrument control, data acquisition, and analysis, translating open-ended experimental goals into reliable software. The problems are latency-sensitive, multi-modal, and deeply interdisciplinary. You do not need a background in neuroscience to apply; we are looking for an exceptional, pragmatic engineer who enjoys solving hard, interesting problems and picks up the science as they go. As a principal engineer, you will define the technical roadmap across systems, mentor other engineers, and shape how neuroscience and engineering work together at Astera. What You Will Build Build stimulus presentation and acquisition systems, including VR environments in Unity, Unreal, or comparable frameworks, that synchronize peripheral streams (eye tracking, displays, haptics) with high-throughput neural recording hardware to millisecond precision. Build high-throughput pipelines to ingest, process, and store massive, multi-modal neural datasets (electrophysiology, calcium imaging, behavior), with versioned data formats, automated QC, and clear metadata standards. Build dashboards, user interfaces, and experiment-design tools that let scientists interact with complex data and run experiments seamlessly. Build cloud-based storage, processing, and sharing infrastructure that supports distributed teams and large-scale datasets. Who You Are Required: Bachelor's degree (or equivalent experience) with 12+ years of experience in computer science, electrical engineering, biomedical engineering, neuroscience, physics, or a related field; graduate work or research experience in neuroscience or a related discipline is a plus but not required. Exceptional software engineering fundamentals, proven in production: you write clean, testable, well-documented code and approach system design thoughtfully. The range and independence to take a rough idea or open-ended goal, scope a path to a working system, and move forward without waiting for a complete spec. A deep intuition for latency, hardware limits, and data bottlenecks, earned building real-time or performance-critical systems in production (game engines, robotics, embedded systems, audio/video pipelines, or similar). Proficiency in at least two of: Python, C++, C#, Rust. Intellectual curiosity, collaborative instincts, and eagerness to learn the science around you. A track record of owning complex systems end-to-end, from architecture and implementation through operational reliability, and of making and defending technical tradeoffs across performance, maintainability, and team velocity. Comfort working across the full stack, from low-level hardware interfaces to cloud infrastructure, with the ability to build and iterate on human-facing research systems with speed and taste. A history of mentoring engineers and leading technical initiatives, with the judgment to set technical direction across teams. Preferred/Nice to Have: Familiarity with brain-machine interfaces, neural data acquisition systems, neural data formats and analysis tools. Background in machine learning, particularly online/streaming inference or neural decoding. Experience designing data pipelines at scale (Airflow, Prefect, or similar orchestration tools). Experience with GPU-accelerated computing (CUDA, Vulkan compute shaders). Familiarity with laboratory hardware integration (DAQ systems, TTL synchronization, serial/SPI protocols). Contributions to open-source neuroscience or scientific computing projects. Why Join Us Join a founding-caliber engineering team building the computational backbone for large-scale neuroscience research. You'll define technical direction across systems, work shoulder-to-shoulder with the scientists and hardware engineers who depend on what you build, and shape how software and science come together at Astera as the team grows. Astera Neuro provides a comprehensive benefits package and total compensation that is competitive and commensurate with the level of experience and qualifications. We are an equal opportunity employer and value diversity and inclusion! Compensation Range: $200K - $350K

Job DescriptionAbout the Company Our client is a seed-stage public safety technology startup that helps law enforcement search evidence and solve crime. Police and prosecutors across the US use the platform to accelerate investigations into homicides, cold cases, and other major offenses by reducing digital evidence overload. The founding team includes engineers who have previously built national-scale data and defense systems. The company has roughly 10 active customer deployments today, with a clear path to 25–40 over the next 9 months. The primary customer base is in the Western US, expanding through other Western states and the Southeast. About the Role We are hiring a Forward Deployed Engineer to own customer outcomes end-to-end. You will scope pilots, ingest messy evidentiary data, configure the product per agency, sit with detectives and prosecutors while they work cases, write scripts and integrations when the product does not quite fit, and feed learnings directly into the roadmap. The seat owns the customer relationship from pilot through first renewal. A typical engagement is a 2–6 week pilot, followed by an annual contract, followed by in-agency expansion. Time split is roughly 60% customer-facing (calls, onsite, async support), 30% building/scripting/configuring, and 10% internal (product feedback, playbook documentation, hiring loops). This is not a sales engineering seat. You will live inside customer environments, dig through real evidence data, and write the scripts that make the product work for each agency. The work matters and the customers are not tech-native, so the bar is engineering depth paired with the soft skills to operate in a sheriff's bullpen or DA office. What You'll Own • Scope pilots with new customer agencies and translate operational goals into technical deployment plans, • Ingest messy evidentiary data per customer (Cellebrite/GrayKey extractions, CDRs, ALPRs, body cam, jail call audio, PDFs, social media), • Configure the product per agency and write scripts or integrations when the product does not quite fit, • Sit with detectives, prosecutors, and analysts while they work, and translate workflow gaps into product improvements, • Own customer relationships from pilot through first renewal and expansion, • Feed learnings directly into the product roadmap, • Partner closely with the existing forward deployed engineer, technical customer success, and engineeringRequirements Must-Have • Strong engineering: comfortable in Python and/or TypeScript, APIs, data pipelines, and shipping small tools without an engineering handoff, • Genuinely customer-facing: at home in a sheriff's bullpen or DA office, not just on Zoom, • Bias to action and comfort with ambiguity, • Owner mindset, • Mission alignment with public safety and US government work, • Willing to go through FBI background checks and CJIS clearance (the company supports the process), • Based in NYC or the SF Bay Area (exceptional candidates outside these hubs considered, with higher travel expected) Nice-to-Have • Prior FDE, solutions engineering, or implementation experience at a company selling into non-tech-native customers, • Exposure to law enforcement, prosecution, intelligence, defense, or e-discovery/forensics, • Familiarity with evidence formats: Cellebrite/GrayKey extractions, CDRs, ALPR, body cam, jail call audio, • Design sensibility (can spot bad UX and articulate why), • Prior experience at a defense or public safety adjacent startupKey Details, • Location: New York City, NY or San Francisco Bay Area, CA (in-person, with travel to customer sites), • Employment: Full-time, • Experience: 4–8 years, • Salary: $140,000 – $220,000 USD per year, plus equity, • Visa Sponsorship: Not availableBenefits & Perks, • Meaningful founding-hire-level equity (4-year vest, 1-year cliff), • Medical and dental, • 401(k)Interview Process, • Intro call, • Technical and scenario interview (60 min), • Take-home or live exercise, • Customer simulation (60 min), • Onsite in NYC or SF, • Reference calls, • Offer

Job Description About Zipline Zipline is the world's largest and most experienced drone delivery service. We are on a mission to serve all humans equally by ensuring access to food, medicine and essential goods anytime, anywhere. We design, build, and operate the world's largest autonomous logistics system, delivering critical supplies quickly and reliably. Today, Zipline operates on four continents, makes a delivery somewhere in the world every 30 seconds, and has completed millions of deliveries to date, including blood, vaccines, medical supplies, food, and retail products. Our customers include the world's largest and most prominent healthcare systems, governments, retailers, restaurants and global businesses who rely on us to save lives, reduce emissions, increase economic opportunity, and provide delivery from point A to point B as fast as possible. The drone is only 15% of what we've built to enable seamless, reliable, global operations. Our system strengthens supply chains, reduces congestion, and gives people time back. With more than 140 million commercial autonomous miles safely flown, Zipline is redefining access to healthcare, consumer products, and food across the globe. We operate at a global scale and are looking for practical problem solvers who thrive on real-world challenges and rapid growth. Our team is motivated by building systems that have a direct, meaningful impact on people's lives and by scaling the future of logistics. We are seeking people who sculpt from first principles, enjoy facing adversity, and can do the impossible at record breaking speeds. About You and The Role Zipline is looking for a Senior AV Engineer to define and deliver the technical vision for our workplace audiovisual environment. You will own how AV systems are designed, standardized, operated, and maintained across large event spaces, conference rooms, and office displays. This is a hands-on technical role with responsibility for both the employee experience today and the architecture that supports our growth. You will build reliable systems, establish clear technology standards, and create an operating model that makes AV easier to use, monitor, support, and scale. What You'll Do Define the technical vision and standards • Assess our current AV environment and develop a roadmap for reliability, usability, standardization, and lifecycle management., • Establish standards for conference rooms, large event spaces, and office displays, including approved equipment, system designs, control interfaces, and acceptance criteria., • Translate business needs into technical designs, investment priorities, and practical implementation plans., • Evaluate new technologies through testing and pilots, balancing employee experience, maintainability, cost, and long-term support. Own large event spaces and all-hands experiences • Engineer, maintain, and improve the systems supporting company all-hands, leadership presentations, and other high-visibility events., • Own the technical readiness of audio, microphones, cameras, video switching, presentation playback, streaming, recording, and room controls., • Deliver a strong experience for both in-person and remote participants, including clear speech, reliable presentation sharing, and effective audience participation., • Establish rehearsal procedures, event checklists, backup plans, and support coverage; provide hands-on technical leadership during major events., • Identify recurring issues and turn event learnings into lasting system improvements. Deliver consistent conference-room experiences • Own conference-room AV design, integration, commissioning, and ongoing performance., • Create intuitive, repeatable experiences for joining meetings, sharing content, and collaborating with remote teams., • Serve as the technical escalation point for complex issues across audio, video, conferencing platforms, control systems, and network connectivity., • Partner with IT support to develop troubleshooting guides, training, and clear escalation paths. Manage office displays and content distribution • Own the technical platform for digital signage and content distribution throughout the office., • Establish reliable processes for display provisioning, content scheduling, publishing permissions, playback, and device health monitoring., • Partner with internal communications and workplace teams to enable timely, consistent content delivery., • Standardize displays, players, configurations, and support procedures across spaces. Build a sustainable AV service • Establish centralized monitoring, preventive maintenance, asset inventory, configuration backups, controlled updates, and recovery procedures., • Maintain accurate system diagrams, signal flows, equipment inventories, configuration files, and operating documentation., • Partner with networking and security teams on secure, reliable AV connectivity and remote management., • Lead integrators and vendors through design review, installation, commissioning, documentation, and handoff., • Ensure internal teams retain access to system designs, source files, configurations, and the knowledge needed to support the environment., • Define and track measures of service quality, including room availability, event readiness, recurring incidents, and resolution time.What You'll Bring, • Substantial experience engineering and supporting enterprise AV environments, with demonstrated ownership of complex deployments and ongoing operations., • Deep, hands-on expertise with enterprise AV platforms such as QSC/Q-SYS, Biamp Tesira, Crestron, Extron, or comparable systems used in large meeting and event spaces., • Strong capabilities in DSP configuration, signal routing, control logic, user interfaces, commissioning, and troubleshooting across enterprise AV systems., • Strong audio fundamentals, including gain structure, acoustic echo cancellation, microphone selection and placement, wireless microphone coordination, loudspeaker systems, and system tuning., • Experience with video distribution, switching, cameras, presentation systems, streaming, and recording., • Working knowledge of AV networking, including networked audio and video, VLANs, multicast, QoS, and coordination with enterprise networking teams., • Experience integrating conferencing platforms, room peripherals, and control systems into a dependable user experience., • A track record of establishing technical standards, managing vendors, and taking systems from requirements through operational handoff., • The ability to troubleshoot calmly during live events and communicate clearly with presenters, employees, technical teams, and leadership., • Sound judgment about when to customize a solution and when to adopt a repeatable standard. Preferred qualifications • Deep, hands-on expertise deploying and supporting QSC systems in large meeting and event spaces., • Strong Q-SYS capabilities, including Q-SYS Designer, Core processors, DSP configuration, signal routing, control logic, user interfaces, commissioning, and troubleshooting., • Relevant Q-SYS training or certifications, supported by practical deployment experience., • Experience with Lua scripting, APIs, and third-party device integration., • Experience administering enterprise digital signage or content-management platforms., • Experience developing AV standards across multiple locations., • AVIXA CTS, CTS-D, CTS-I, or equivalent demonstrated expertise. What success looks like • A clear, prioritized AV roadmap guides technology decisions and investment., • All-hands and major events are supported by documented, tested systems and repeatable operating procedures., • Conference rooms provide a consistent experience employees can use confidently., • Office content is easy for authorized teams to publish and reliable for employees to view., • AV systems are documented, monitored, maintainable, and supported by clear ownership., • New spaces follow established standards, reducing unnecessary variation and recurring support issues.What Else You Need To Know The starting cash range for this role is $150,00 - $180,000; please note that this is a target, starting cash range for a candidate who meets the minimum qualifications for this role. We are always open to negotiation. The final cash pay for this role will depend on a variety of factors, including a specific candidate's experience, qualifications, skills, working location, and projected impact. The total compensation package for this role may also include: equity compensation; overtime pay; discretionary annual or performance bonuses; sales incentives; benefits such as medical, dental and vision insurance; paid time off; and more. Zipline is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws or our own sensibilities. We value diversity at Zipline and welcome applications from those who are traditionally underrepresented in tech. If you like the sound of this position but are not sure if you are the perfect fit, please apply! Voluntary Self-Identification For government reporting purposes, we ask candidates to respond to the below self-identification survey. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file. As set forth in Zipline 's Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.

Job DescriptionThe Bigger Picture At Andromeda, we're building the social intelligence layer for humanoid robots - technology that allows robots to understand people, build relationships and become a meaningful part of everyday life. Our first robot, Abi, is already doing this in aged care and healthcare, where she brings conversation, companionship and engagement to people every day. Now we're scaling from early deployments into a platform that can operate across thousands of real-world environments. We're looking for individuals who want to tackle hard problems across robotics and AI, and help define what it means for robots to live and interact alongside people. The Role We are looking for an engineer to found our Mission Autonomy team, which will own our robot’s long-duration decision-making layer and orchestrate the totality of Abi’s day. Mission Autonomy continuously decides what Abi should do next, balances task-level trade-offs, and adapts the robot’s plan across an eight-hour shift. It sits above and orchestrates Abi’s existing layers that perform conversations, waypoint navigation and obstacle avoidance, perception, gestures, and operator tooling. As the founding Mission Autonomy team member, you will propose and build Andromeda’s Mission Autonomy (MA) architecture from the ground up, using frontier models and evaluation (both sim and real-world) to train and launch MA, and work with our voice agent, mobile autonomy, and gestures teams to design harnesses through which MA can execute behaviors on Abi. Once built, MA should guide Abi through a home, choose when to join an interaction, keep her character, and recover when the plan breaks. There is no playbook for this. You’ll need a keen eye for model evaluation and trade-offs, balancing architectural leadership with strategic hands-on work. The work combines research with practical robotics. Key Responsibilities • Design the system. Challenge our initial concepts as you discover what a full shift actually needs: is it formulated as an agent harness ingesting scene graphs and acting over robust, typed action primitives? Or will you invoke World Models and VLA components? You will shape the Mission Autonomy roadmap for Andromeda., • Prototype the system. Get a mission autonomy loop running in simulation early. Use it to decide what we build, before the company commits teams to an architecture., • Co-design and build simulation capabilities with our simulation engineer., • Own the technical direction and run the design conversations with autonomy, chatbot, perception, audio and platform teams. Turn them into contracts those teams can build against., • Shape the action primitives. Work out what the mission needs from the layers underneath. Specify it properly. Get it built, whether that means convincing the owning team or writing it yourself., • Design for degradation. Define how Abi should behave when audio, perception, connectivity, navigation, or platform health degrades. Make those moments safe, useful, and legible to operators, while preserving Abi’s character rather than treating every failure as a generic error state., • Establish deployment patterns. Create a repeatable path from simulation prototypes to demonstrations on the robot, with the configuration, observability, test gates, and rollback mechanisms needed to iterate safely., • Build the evaluation system. Define benchmarking protocols, evaluation methods, and reporting that let us continuously measure the longest-horizon missions Abi can complete, the interventions they require, and the failure modes that limit them. Your first 90 days Month 1: Learn about Abi in the real world: read the Concept of Operations document, challenge its assumptions, and spend time with Abi in an aged-care home. Bring the autonomy, conversational AI, perception, audio, platform, and simulation teams together to define how the system makes decisions and how the layers work together. Deliver the first architecture and a clear six-month build plan, including what not to build. Month 2: Build a working slice in simulation: Abi drives to a resident’s room, arrives safely, and starts a conversation. Use simulation to discover what breaks when the resident is absent, the route changes, or a subsystem degrades. Turn those lessons into better interfaces, a repeatable evaluation harness, and the next set of hypotheses and assumptions to test. Month 3: Take the prototype from simulation to Abi in the lab. Establish the deployment, monitoring, replay, and evaluation patterns that show how far Abi can run autonomously, what stops her, and why. Requirements Skills and Experience Required • 5+ years of experience building autonomous systems, with an MS or PhD in Robotics, Computer Science, or a related field, or equivalent practical experience., • Previous autonomy experience in areas such as self-driving, mobile robotics, warehouse robotics, field robotics, or similar, including at least one deployment lifecycle from concept through deployment and operations., • Experience with ROS 2, Nav2, and simulation tools such as Isaac Sim, Gazebo, or MuJoCo., • Awareness of safety-critical design principles for robots operating around people., • Strong software engineering skills in Python, C++, or Rust. Comfortable working across the stack, from high-level planning and behavior to low-level robot interfaces and runtime constraints., • Practical robotics experience. Comfortable bringing up hardware, debugging sensors and actuators, and tinkering with the robot in the office., • Strong communication and influence skills, particularly when working across Australian teams and with engineers whose systems you do not directly own., • Architecture and software depth. Able to steer the system design, define interfaces and contracts, and write the first versions of the primitives rather than wait for another team. Bonus points • Experience building mission autonomy systems in robotics, defense technology, or similar domains., • Research experience, ideally at master’s or PhD level, applying LLM techniques to long-duration robotic task planning, orchestration, tool use, or error recovery., • Experience designing simulation-based evaluation systems, including benchmarks, scenario harnesses, metrics, failure taxonomies, and reporting for long-horizon missions., • Experience with robot planning and behavior architectures, including Planning Domain Definition Language (PDDL), task-and-motion planning, behavior trees, or finite-state machines for baselining., • Technical judgment. Able to reason about trade-offs explicitly, and earn the trust of senior autonomy engineers and the teams that own adjacent parts of the stack. Benefits The expected base salary for this role is $200,000 to $240,000 USD. PLEASE NOTE: The advertised salary range is intended as a guide. For an exceptional candidate whose experience and capabilities align strongly with this role, we are open to discussing a package that reflects the value they bring. Given the importance of this hire, we are committed to investing appropriately in the person best placed to help us achieve our mission. If you’re excited about this role but don’t meet every requirement, that’s okay; we still encourage you to apply. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Our Values • Empathy – Kindness and compassion are at the heart of everything we do., • Play – Play sharpens focus. It keeps us curious, fast and obsessed with the craft., • Never Settle – A relentless ambition, bias toward action, and uncomfortable levels of curiosity., • Tenacity – Tenacious under pressure, we assume chaos and stay in motion to adapt and progress., • Unity – Different minds. Shared mission. No passengers. Let’s build the future together.

Job DescriptionAbout Us Salient builds AI agents for regulated financial services. Our agents automate loan servicing, compliance, collections, recovery, insurance claims, and disputes for banks, captives, and specialty lenders. We are: Backed by a16z and Y Combinator, with $75M raised in Series A funding Cash flow positive and profitable, with mid eight figure ARR achieved in under two years Already serving more than 20% of the auto lending industry Processing millions of real customer calls and transactions every day Fully deployed in production with major financial institutions Actively expanding into new financial services segments Building together in person in San Francisco We are deeply integrated with our customers, own the full technology stack, and move quickly to bring modern AI into regulated industries where precision, reliability, and performance matter. About the Role We're hiring a Telephony Infrastructure Engineer to own the voice platform behind Salient's AI agents: the SIP edge, Asterisk, the voice audio and dialing layers, and the call servers that connect borrowers to our agents. You will work directly with our AI agent engineers, telephony specialist, customer success, and carriers. This is a hands-on ownership role. You will finish work in flight, make the platform reliable and safe to change, and prove it can handle the next order of magnitude of call volume. You will also design and implement customer telephony integrations and make them increasingly self-serve. What You'll Own • Finishing the Asterisk migration: cutting over remaining customers, trunks, and call flows with no regression, then retiring the legacy path., • Reliability of the voice audio and dialing layers: SLOs, monitoring, incident response, and eliminating recurring failure modes., • Zero-downtime call-server deployments: draining, graceful shutdown, safe rollout, and rollback without dropping live calls., • Building tools to manage Kamailio and Asterisk reconfiguration without server restarts inside Kubernetes, • Backpressure, load shedding, and self-recovery when carriers, media, or AI dependencies degrade., • Load testing and capacity planning that validates thousands of concurrent calls and CPS at the SIP edge., • Voice observability: call-quality and platform-health metrics, alerting, runbooks, and postmortems., • Security of the voice edge against scanning, toll fraud, and abuse., • Customer telephony integrations: custom SIP trunks (e.g., Genesys, Bandwidth), call transfers, SIP header passing, and API prototypes with new contact-center platforms., • Self-serve setup: productized trunk configurations, validation tooling, and docs that shorten time to go live. What We're Looking For • You've run production voice infrastructure at meaningful scale and have been on call for it., • You know SIP, SDP, and RTP deeply and debug from traces and pcaps., • You can debug EC2/K8s networking issues that result in deadair—and develop monitoring and testing plans to minimize deadair., • You understand real-time media, WebRTC, and latency budgets., • You design for backpressure, graceful degradation, and safe deploys of stateful services., • You've built load tests that found real bottlenecks before customers did., • You write clear design docs, runbooks, and postmortems., • You've integrated SIP trunks with customer contact centers and carriers, including transfers and header passing. Nice to Have • Experience with Kamailio, Asterisk, OpenSIPS, FreeSWITCH, or rtpengine., • Experience developing regional failover for SIP, • Experience with latency-aware multi-homing, • Experience with contact-center, dialer, CpaaS, or carrier infrastructure., • Experience with AI voice agents, speech pipelines, or regulated industries such as lending., • Experience with contact-center platforms such as Genesys, Five9, NICE, or Amazon Connect. Why This Role Every Salient product depends on a phone call working. You will own the platform that carries those calls and make it reliable, easy to change, and ready for the volume our customers are about to send it. At Salient, we’re building at the edge of AI - fast, focused, and with real ownership. Sprints and major launches move quickly, and we look for people who are energized by that pace. Our team typically works around 60 hours per week, beginning at 8:00 AM, with four days spent collaborating in person at our San Francisco office. We also offer a benefits package designed to support our full-time employees: medical, dental, and vision coverage, a generous 401(k), and catered lunches. By applying, you acknowledge that your personal information will be processed in accordance with our Privacy Policy. Compensation Range: $200K - $300K

Job DescriptionAbout the Company Our client is a seed-stage public safety technology startup that helps law enforcement search evidence and solve crime. Police and prosecutors across the U.S. use the platform to accelerate investigations into homicides, cold cases, and other major offenses by reducing digital evidence overload. The founding team includes engineers who have previously built national-scale data and defense systems. Backed by top-tier investors, the company is growing fast with live deployments and paying agency customers. The mission is clear: bring technical excellence to public safety. About the Role You'll be an early engineer shaping the company's AI backbone, processing massive video, audio, and text datasets to surface investigative leads. The work spans backend infrastructure and applied ML: building retrieval pipelines, integrating LLMs/VLMs, and deploying secure, distributed systems. You should be comfortable shipping end-to-end, from data flow design to production deployment in sensitive environments, and thrive in fast-paced, high-impact settings. We're looking for a backend engineer with deep experience and interest in applying AI in the real world. What We're Looking For • Backend Grounding: You can build resilient, secure distributed systems, with comfort across programming languages (especially Python, React, etc.) and infrastructure providers., • AI Depth: Experience deploying LLMs, VLMs, and/or other ML in real-world settings. Bonus if you've worked with or are excited by agentic experiences: systems that reason, plan, and take actions across data., • Data Versatility: You've designed RAG or similar pipelines for unstructured data, and know how to build for structured data too (query planning, semantic modeling, or structured reasoning)., • Adaptability: The team moves fast, and new models and approaches to infrastructure are constantly coming online. You are naturally curious and keep up with the latest in AI.About You, • Mission-Driven: Excited to contribute to U.S. government competence and public safety., • Owner-Builder Mindset: Bias toward action; thrives in extremely fast-paced environments. Looking to do the best work of your life., • Comfort with Ambiguity: This is an early-stage startup with many exciting questions to be answered; you run toward unasked and unanswered questions.Key Details, • Location: New York City, NY or San Francisco, CA (in-person at least 3 days per week, with up to 25% travel), • Employment: Full-time, • Experience: 3+ years, • Salary: $165,000 – $250,000 USD per year, depending on experience, • Visa Sponsorship: Not available, • Clearance: Must be willing to undergo an FBI background check and CJIS clearance (sponsored by the company)Benefits & Perks, • Meaningful founding-level equity stake, • Free lunches and dinners, • 3% 401(k) contribution (regardless of employee match), • Unlimited PTO, • Full health and dental coverage, • Gym reimbursement, • FBI/CJIS clearance sponsorship, • Well-funded and fast-growingInterview Process, • Intro call with a co-founder, • Coding interview (LeetCode-style), • Systems interview, • Final behavioral interview, • OfferRequired Candidate Questions Please include answers to the following questions with your application: • Do you have valid U.S. work authorization and are you willing to undergo an FBI background check / CJIS clearance process?, • Are you able to work in-person from NYC or SF at least 3x/week?, • Are you OK with 25% travel on the job?, • Do you have experience with RAG, speech-to-text, or computer vision?, • Why are you interested in this role and joining this company?, • Do you see yourself closer to the Research or Applied side of ML systems?, • Do you see yourself as proficient in general backend engineering?, • Do you have strong English communication skills? This is a requirement due to the company's customer base.

Job DescriptionFounding Platform Engineer | AI, Distributed Systems & SaaS • New York City or San Francisco Bay Area, • Python | AWS | Distributed Systems | Multi-tenant SaaS, • $200K–$230K USD base salary + equity, • Visa sponsorship available for candidates already in the US who require a visa transfer, • Pre-seed AI startup | Founding engineering team Build the platform that makes AI customer conversations accountable Are you a Staff or Principal-level engineer who thrives on building complex systems from the ground up? We're looking for a Founding Platform Engineer to help architect and build the core platform of an early-stage AI startup tackling one of the biggest emerging challenges in enterprise technology: ensuring AI-powered customer interactions are safe, compliant, reliable, and accountable. As the first senior engineer, you'll work directly with the CTO, take ownership of the platform's architecture, and write production code while establishing the engineering foundations for future growth. This is an opportunity to shape both the technology and the engineering culture of a company from its earliest stages. The opportunity Enterprises are deploying AI agents to handle customer conversations across voice, chat, email, and SMS. But as these systems take on increasingly sensitive interactions, businesses need more than capable AI — they need independent oversight, measurable quality and reliable evidence that their AI systems meet the standards required of them. The company is building an AI monitoring and assurance platform that evaluates customer interactions against applicable regulations and business requirements, helping enterprises identify issues early, reduce risk, and demonstrate accountability. You'll help build the infrastructure that makes this possible, from high-volume conversation processing to enterprise-grade auditability and security. What you'll own ️ Core platform architecture • Design and build the backend systems that power a scalable, multi-tenant SaaS platform., • Establish robust APIs, data models, and distributed processing architecture., • Make key technical decisions that will shape the platform as the company grows. Conversation pipelines and integrations • Build pipelines that transform raw conversations into structured, enriched, and scorable data., • Develop integrations with contact-centre platforms, ticketing systems and direct-upload workflows., • Help evolve the voice-processing architecture, including transcription and audio ingestion. Auditability and data provenance • Implement immutable versioning for scoring rubrics and configurations., • Build tamper-evident audit trails and preserve evidence throughout the conversation lifecycle., • Ensure historical results can be reproduced and explained, including why a particular interaction received its original score. ️ Infrastructure and engineering excellence • Own infrastructure as code, CI/CD, environment management and deployment workflows., • Establish observability, logging, metrics, tracing, alerting, secrets management and disaster recovery., • Take responsibility for production reliability, incident response and operational readiness. Scale, performance and reliability • Build reliable data storage, retention and queueing systems., • Implement idempotent processing and reprocessing to prevent duplicate work and unnecessary AI inference costs., • Define service-level objectives and help scale the platform from early pilots to millions of interactions per month. Security and enterprise readiness • Build tenant isolation, permissions, customer-specific configuration, and entitlements into the platform., • Implement sensitive-data handling and redaction before conversations reach AI models., • Support evidence exports, SOC 2 readiness, and enterprise security reviews. What we're looking for • Senior engineering ownership: You've operated at Staff, Principal, or equivalent level, owning critical production systems and setting technical direction in a small engineering team., • Strong backend and distributed-systems expertise: You understand high-volume data processing, event-driven architectures, API design, data modelling, and the challenges of building reliable, scalable systems., • High-performance ingestion systems: You have current, hands-on experience with Go (Golang) or Rust, ideally building high-throughput ingestion engines or data pipelines. You know how to design for concurrency, low latency, efficient resource utilisation, and scale., • Hands-on infrastructure experience: You've built infrastructure as code, CI/CD pipelines, observability and deployment capabilities yourself, rather than relying entirely on a dedicated platform team., • Early-stage startup experience: You've shipped products in an early-stage or high-growth environment where ambiguity, broad ownership, and limited support functions were part of everyday life. This is essential., • Strong Python skills: You're comfortable building production-grade backend systems in Python and can help evolve the existing prototype, built with Python, PostgreSQL/MongoDB, and AWS, into a faster, production-ready platform. TypeScript and React experience is useful for contributing to the product portal when needed., • ML systems fluency: You can discuss model evaluation, deployment, monitoring, accuracy, latency, and inference costs with an ML Lead. Research experience is not required., • Enterprise SaaS experience: You understand multi-tenancy, tenant isolation, access controls, and customer-specific entitlements., • A pragmatic approach to AI-assisted development: You're comfortable using coding agents, including Claude Code, while maintaining high standards for code quality, testing, security and maintainability. Bonus points Experience in any of the following would be particularly valuable: • Auditability, data provenance or compliance-grade systems., • Speech and audio processing, including ASR, diarisation, streaming transcription or real-time systems., • Contact-centre technology, CCaaS, quality assurance or workforce optimisation., • Governance, risk and compliance (GRC) platforms or regulated enterprise environments. Why consider this opportunity? • Founding-level impact: Work directly with the CTO and influence the platform's architecture from day one., • Real technical ownership: Build the systems, infrastructure, and engineering practices rather than inheriting established processes., • A meaningful problem to solve: Help enterprises adopt AI customer support with greater confidence, transparency, and accountability., • Broad engineering scope: Work across backend systems, cloud infrastructure, data pipelines, security, and product-facing functionality., • Room to shape the team: Establish the technical standards and foundations that future engineers will build upon. Interested? If you're a hands-on technical leader who enjoys solving difficult platform problems, building from first principles and taking ownership beyond the code, we'd love to hear from you. Apply now or get in touch for a confidential conversation about the opportunity. SourceIn (sourcein.co) has been formally appointed by the client to provide recruitment and candidate pre-screening services for this role.

Job DescriptionAbout the Role A seed-stage neurotechnology startup in San Francisco is hiring a Head of Engineering — a founding leadership role for someone who can set technical direction and still ship code every day. You'll partner directly with the Founder to define product strategy, own the full engineering stack, and build the team and culture from the ground up. This is a rare opportunity to be the senior technical voice at a company pioneering software-only approaches to cognitive health and performance. What You'll Do Partner directly with the Founder to define and evolve technical strategy and product roadmap Stay deeply hands-on: write and review code, make architecture calls, and set the bar for engineering quality Own and harden backend infrastructure for security and scale Establish engineering workflows, principles, and code quality standards the team can grow into Lead technical hiring and build engineering culture from the ground up Work cross-functionally with product, science, and design to ship quickly and iterate based on real user feedback Translate fuzzy product goals into clean technical decisions, including through user research and experiment design What We're Looking For Required 2–6 years of experience in fast-moving startup environments, preferably in consumer software or AI-native products Former founder or founding engineer with proven experience shipping a consumer product from 0→1 Hands-on individual contributor comfortable owning end-to-end engineering as the senior technical voice Experience with voice/audio processing and building software products around voice data Proficiency in Swift/macOS desktop, iOS, and Python for ML/data pipelines, plus cloud backend (AWS or GCP) Strong product instincts — comfortable with ambiguity, user research, metric analysis, and experiment design Eligible to work in the United States without visa sponsorship Nice to Have Native mobile development (iOS/Android), or managing teams who do Hands-on experience with RAG pipelines, agentic systems, or LLM-based products Background in consumer health or wellness technology The ideal candidate is high energy, low ego, and deeply mission-driven — equally comfortable in a product strategy conversation and a code review, and energized by the challenge of building something genuinely new. Compensation & Benefits Base salary: $180,000 – $220,000 USD annually Meaningful equity package Full benefits Flexible PTO Location This role is on-site in San Francisco, CA. Candidates must be willing and able to work from the San Francisco office. Visa sponsorship is not available.

Job DescriptionFounding ML Engineer | Applied AI, LLMs & Compliance • San Francisco Bay Area or New York City Area, • Python | LLMs | NLP | Machine Learning | AWS, • $200K–$230K USD base salary + equity, • Visa sponsorship available for candidates already in the US who require a visa transfer, • Pre-seed AI startup | Founding engineering team Build the intelligence layer that makes AI customer conversations accountable Are you a Staff or Principal-level ML engineer who wants to turn cutting-edge AI into reliable, measurable, production-grade systems? We're looking for a Founding ML Engineer to build the intelligence and compliance layer of an early-stage AI startup tackling one of the most important challenges in enterprise AI: ensuring customer-facing AI agents are accurate, safe, compliant, and accountable. You'll work directly with the CTO, own the company's applied ML strategy, and help shape how AI-powered customer conversations are evaluated at scale. As the first dedicated ML hire, you'll have the opportunity to establish the technical foundations, build the team, and influence the product from its earliest stages. This isn't a research-only position. You'll write production code, evaluate real-world model performance, make critical architectural decisions, and build systems where accuracy must be demonstrated — not assumed. The opportunity Enterprises are increasingly deploying AI agents to handle customer conversations across voice, chat, email, and SMS. These systems are already dealing with billing disputes, account changes, and other sensitive interactions. But how can businesses be confident that their AI agents are following the rules, providing grounded answers, and handling customers appropriately? Manual quality assurance cannot keep pace with millions of interactions. AI vendors focus on building capable agents, while enterprises need an independent way to measure their performance, identify failures, and demonstrate compliance. The company is building an AI monitoring and assurance platform that evaluates customer interactions against applicable regulations and business requirements, helping enterprises detect issues early, reduce risk, and provide evidence of accountability. You'll own the intelligence that makes this possible — from compliance detection and hallucination monitoring to evaluation frameworks, scoring models, and production ML observability. What you'll own ️ Compliance, hallucination & scoring architecture • Translate customer requirements and regulatory frameworks into measurable detectors for compliance, grounding, hallucinations, risk, escalation, and interaction quality., • Choose the right combination of rules, classifiers, LLM-based judges, and fallback mechanisms., • Establish confidence thresholds and promotion criteria based on explicit accuracy, latency, cost, and risk trade-offs. Evaluation frameworks & the data flywheel • Own annotation guidelines, ground-truth datasets, adjudication processes, and offline and online evaluation., • Build regression gates that prevent ungrounded outputs, unsupported compliance claims, and unmeasured accuracy from reaching production., • Turn QA reviews, customer disputes, and human-versus-model disagreements into high-quality training and evaluation data., • Use synthetic data, weak supervision, and active learning where they demonstrably improve performance. ️ Customer rubric onboarding • Build the tooling, prompts, datasets, and evaluation workflows needed to translate each customer's framework into reliable production detectors., • Reduce the time required to onboard new customers without compromising measurement quality., • Develop reusable approaches while accommodating customer-specific requirements. ️ Speech & conversation intelligence • Make noisy transcripts reliably scorable using robust NLP and LLM techniques., • Evaluate transcription quality and its impact on downstream compliance and scoring., • Help design the next generation of speech-processing capabilities, including automatic speech recognition (ASR), speaker diarisation, and streaming transcription. ️ Production ML economics & observability • Own inference cost and latency per interaction, model routing, and the trade-offs between model capability and operational efficiency., • Monitor model drift and changes in compliance detection, grounding, hallucination detection, and scoring accuracy., • Build production monitoring and alerting that surface regressions before they become customer problems. Technical leadership & team building • Partner directly with the CTO and design partners' QA and compliance teams to understand real-world model failures., • Contribute to enterprise security and AI governance reviews., • Establish the ML engineering standards, evaluation practices, and technical direction for future hires., • Remain hands-on while mentoring engineers and building the team. What we're looking for • Staff or Principal-level applied ML expertise: You've owned production ML, NLP, or LLM systems that other teams or customers depend on, and you've been accountable for their performance., • Rigorous evaluation experience: You've built evaluation pipelines, developed ground truth from inconsistent human labels, and made explicit decisions about acceptable error rates., • Early-stage startup experience: You've shipped products in an environment defined by ambiguity, broad ownership, and limited supporting infrastructure. This is essential., • Strong model-selection judgement: You're comfortable with prompting, retrieval, fine-tuning, distillation, classical classifiers — and recognising when a simple rule or regex is the better solution., • Hands-on Python engineering: You've trained or debugged models yourself, built and maintained production services, and worked with messy, unstructured data., • Production ML judgement: You understand inference economics, latency, model reliability, sensitive data handling, and the security requirements of enterprise customers., • Technical leadership: You can set the direction for an ML function, establish high engineering standards, and recruit the engineers who will help scale it., • Pragmatic AI-assisted development: You're comfortable using coding agents to accelerate development while maintaining rigorous standards for testing, security, and maintainability. Bonus points Experience in any of the following would be particularly valuable: • ️ Production speech and audio systems, including ASR, diarisation, streaming transcription, or real-time latency optimisation., • Custom NLP or scoring-model development, including LLM-as-judge systems validated against human ground truth., • Weak supervision, programmatic labelling, or active learning in production., • ️ Trust and safety, fraud and risk, contact-centre quality assurance, regulatory compliance, or governance, risk and compliance (GRC). Why consider this opportunity? • Founding-level impact: Work directly with the CTO and define the company's applied ML strategy from the ground up., • Real ownership: Take responsibility for the intelligence layer, evaluation methodology, and production performance., • A meaningful problem: Help enterprises adopt AI customer support with greater confidence, transparency, and accountability., • Real-world ML challenges: Solve difficult problems involving noisy data, model reliability, measurable accuracy, and operational constraints., • Build the team: Establish the technical standards and culture that future ML engineers will inherit., • Shape the product: Work directly with design partners and use real customer feedback to guide the platform's evolution. Interested? If you're a hands-on ML leader who enjoys solving difficult applied AI problems, building reliable systems from first principles, and taking ownership beyond the model itself, we'd love to hear from you. SourceIn (sourcein.co) has been formally appointed by the client to provide recruitment and candidate pre-screening services for this role.

Job Description Staff Full Stack Engineer Location: New York City or San Francisco, CA Employment Type: Full-time Focus: Full-Stack Engineering, Audio AI, Data Infrastructure, AI/ML Tooling Experience: 6+ years About Our Client Our client is building the data infrastructure behind the next generation of audio AI. The company is creating high-quality datasets with the same level of rigor that leading AI labs bring to model development. Their work sits at the intersection of audio, speech, data infrastructure, machine learning, generative AI, and product engineering. Their belief is simple: audio is one of the key gateways for bringing AI into the real world. Speech is natural, accessible, and already embedded in how people communicate. As voice and audio models become more capable, high-quality training data is becoming one of the industry's biggest bottlenecks. Founded by former Scale AI engineers and operators, our client has already brought on leading FAANG companies and AI labs as customers and raised a $50M Series B from top-tier investors. About the Engineering Team The engineering team builds the systems that transform massive amounts of raw audio into high-signal training data for leading AI companies. The work spans: Product engineering Distributed systems Data infrastructure Machine learning Generative AI Digital signal processing Engineers operate with high ownership, move quickly, and work across the stack. The team collaborates directly with researchers and operations teams, ships production software frequently, and builds systems that process terabytes of speech data. About the Role Our client is hiring a Staff Full Stack Engineer to help lead the development of products and infrastructure used to understand, evaluate, and manage the audio datasets powering advanced AI models. This is a highly hands-on role for a senior technical builder who can lead complex full-stack projects, establish engineering standards, mentor engineers, and work directly with researchers to turn ideas into production systems. The right candidate combines strong product instincts with deep technical execution. They can move from prototype to polished product quickly without sacrificing quality. What You'll Do Lead full-stack product development across customer-facing and internal platforms Build scalable systems capable of processing and analyzing terabytes of audio data Rapidly prototype, ship, and iterate based on customer, researcher, and operations feedback Deploy and evaluate LLM, ML, and DSP-based systems for understanding and enriching audio datasets Build interfaces and tooling that help researchers and operations teams collect, evaluate, and manage data at scale Own technical architecture and major engineering decisions across the product Raise the engineering bar through architecture reviews, technical standards, and mentorship Identify emerging technologies across software engineering, AI, data infrastructure, and signal processing Help shape the engineering organization as the company continues to scale What We're Looking For 6+ years of product-focused full-stack engineering experience Strong fundamentals across modern frontend and backend development Experience building products from rapid prototypes through scalable production systems Track record of shipping software that creates measurable customer value Strong product judgment and an eye for intuitive, polished user experiences Experience working in fast-moving startup or high-growth engineering environments Ability to own ambiguous technical problems from architecture through deployment Experience providing technical leadership, mentorship, or engineering management High attention to detail without sacrificing speed Curiosity and ability to learn quickly in technical domains such as audio, AI, ML, and data infrastructure Previous audio or AI/ML experience is not required. Our client cares more about technical horsepower, product judgment, curiosity, and the ability to learn quickly. Bonus Experience Experience with digital signal processing, speech, or audio systems Experience building or deploying machine learning models in production Experience working with LLMs or modern generative AI systems Experience leading engineering teams in high-growth startup environments Experience building large-scale data processing systems or distributed systems Technology Relevant technologies include: Next.js TypeScript Tailwind CSS Node.js tRPC PostgreSQL AWS Trigger.dev WebRTC FFmpeg Experience with every tool is not required. Strong engineering fundamentals matter more than exact stack match. Why This Opportunity Join a heavily funded, fast-growing AI company while the engineering team is still small enough for individual impact Work on technology used by some of the most sophisticated AI labs and enterprise customers in the world Build at the intersection of product engineering, data infrastructure, AI, ML, and audio Own meaningful technical decisions across customer-facing products and internal systems Work directly with researchers and operators on high-impact production systems Help build the infrastructure and datasets that power the next generation of speech and audio intelligence Benefits Unlimited PTO Comprehensive health, dental, and vision coverage, with 100% coverage for most plans FSA and HSA access 401(k) access Lunch and dinner provided, plus snacks and beverages in office Company-sponsored fitness benefits Ideal Candidate Profile The ideal candidate is a Staff-level full-stack engineer who is still deeply hands-on. They have strong product instincts, technical range, and the ability to lead complex engineering work from ambiguity to production. They care about polished user experiences, scalable systems, and building products that create real customer value. This person should be excited to build in a fast-moving AI environment where audio, data infrastructure, research, and product engineering all come together.

Job DescriptionZyphra is an artificial intelligence company based in San Francisco, California. The Role: As a Data Engineer - Multimodal Systems, you will be a core contributor to creating, collecting, and improving Zyphra’s datasets and data pipelines across a variety of modalities. Your work will intersect with almost every team at Zyphra. You will be involved in collecting large-scale datasets and implementing and optimizing highly parallel data pipelines. You’ll Work Across: Large-scale data collection across a variety of modalities (text, audio, image) Designing and working with highly efficient, parallelized data processing pipelines across modalities Designing and running rigorous experimental ablations to demonstrate the impact of new data improvements What We're Looking For / Requirements: Strong implementation and prototyping ability Can take an idea from conception to experimentation quickly The ability to work well with others in a high-paced research setting Can rapidly learn new fields and are excited to implement new ideas Excellent communication and collaboration skills, and can work effectively on both research and engineering implementation at scale. Qualifications / Additional Skills: Experience collecting, handling, and processing large datasets Experience with parallel Python programming frameworks such as Dask Understanding of the state-of-the-art in dataset curation across modalities A generally meticulous nature and a strong interest in actually looking at data and sanity checking things Strong grasp of proper experimental methodology for running rigorous ablations and other hypothesis testing Understanding of and interest in large-scale, highly parallel data processing pipelines. Proficiency with PyTorch and Python. Experience contributing to large pre-existing codebases and rapidly getting up to speed. Previously published machine learning research in well-respected venues. Postgraduate degree in a scientific subject (Computer Science, EE/EECS, Mathematics, Physics, Machine Learning) Why Work at Zyphra: Our research methodology is grounded in methodical, step-by-step approaches to ambitious goals. Both deep research and engineering excellence are equally valued We strongly value new and crazy ideas and are very willing to bet big on new ideas We move as quickly as we can; we aim to minimize the bar to impact as low as possible We all enjoy what we do and love discussing AI Benefits and Perks: Comprehensive medical, dental, vision, and FSA plans Competitive compensation and 401(k) plan Relocation and immigration support on a case-by-case basis In-office snacks and meals provided Unlimited PTO and company holidays In-person team in San Francisco with a collaborative, high-energy environment

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Music Production Expert - Hindi Type: Contract Compensation: $14–$42/hour Location: Remote Duration: Up to 6 months Commitment: 20+ hours/week Role Responsibilities • Evaluate AI-generated music on musicality, creativity, prompt adherence, vocal quality, and production/mix quality., • Label songs by genre, structure, instruments, vocals, and other musical characteristics., • Review AI-generated lyrics and vocals against reference material for quality and accuracy., • Work independently and asynchronously to meet deadlines while improving AI model performance. Qualifications Must-Have • Native or near-native proficiency in Hindi, and the ability to follow detailed written instructions in English., • 2+ years of experience as a music producer, audio engineer, or mixing engineer., • Headphones or studio monitors suitable for critical listening. Preferred • Formal training in music performance, theory, or composition., • Credited or commercially released production, engineering, or mixing work., • Broad familiarity with contemporary Hindi genres, sub-genres, and artists. Start Date • Immediate Application Process (Takes 20–30 mins to complete) • Upload resume, • Complete the application steps, including the Bilingual Competency Interview in Hindi, • Receive next steps and onboarding details within a few days Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Music Production Expert - Vietnamese Type: Contract Compensation: $18/hour Location: Remote Duration: Up to 6 months Commitment: 20+ hours/week Role Responsibilities • Evaluate AI-generated music across various genres, focusing on musicality, creativity, prompt adherence, vocal quality, and production/mix quality., • Label songs by genre, structure, instruments, vocals, and other musical characteristics., • Review AI-generated lyrics and vocals against reference material for quality and accuracy., • Work independently and asynchronously to meet deadlines while improving AI model performance., • Collaborate with AI research teams to enhance training data quality and model outputs. Qualifications Must-Have • Native or near-native proficiency in Vietnamese, and the ability to follow detailed written instructions in English., • 2+ years of experience as a music producer, audio engineer, or mixing engineer., • Headphones or studio monitors suitable for critical listening. Preferred • Formal training in music performance, theory, or composition., • Credited or commercially released production, engineering, or mixing work., • Broad familiarity with contemporary Vietnamese genres, sub-genres, and artists. Start Date • Immediate Application Process (Takes 20–30 mins to complete) • Upload resume, • Complete the application steps, including the Bilingual Competency Interview in Vietnamese, • Receive next steps and onboarding details within a few days Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Music Production Expert - Korean Type: Contract Compensation: $35–$62/hour Location: Remote Duration: Up to 6 months Commitment: 20+ hours/week Role Responsibilities • Evaluate AI-generated music across genres for musicality, creativity, prompt adherence, vocal quality, and production/mix quality., • Label songs by genre, structure, instruments, vocals, and other musical characteristics., • Review AI-generated lyrics and vocals against reference material for quality and accuracy., • Work independently and asynchronously to meet deadlines while improving AI model performance., • Collaborate with AI research teams to enhance training data quality and model outputs. Qualifications Must-Have • Native or near-native proficiency in Korean and ability to follow detailed written instructions in English., • 2+ years of experience as a music producer, audio engineer, or mixing engineer., • Headphones or studio monitors suitable for critical listening. Preferred • Formal training in music performance, theory, or composition., • Credited or commercially released production, engineering, or mixing work., • Broad familiarity with contemporary Korean genres, sub-genres, and artists. Start Date • Immediate Application Process (Takes 20–30 mins to complete) • Upload resume, • Complete the Bilingual Competency Interview in Korean, • Receive next steps and onboarding details within a few days Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Music Production Expert - Bengali Type: Contract Compensation: $11–$19/hour Location: Remote Duration: Up to 6 months Commitment: 20+ hours/week Role Responsibilities • Evaluate AI-generated music for musicality, creativity, prompt adherence, vocal quality, and production/mix quality., • Label songs by genre, structure, instruments, vocals, and other musical characteristics., • Review AI-generated lyrics and vocals against reference material for quality and accuracy., • Work independently and asynchronously to meet deadlines while improving AI model performance. Qualifications Must-Have • Native or near-native proficiency in Bengali, and the ability to follow detailed written instructions in English., • 2+ years of experience as a music producer, audio engineer, or mixing engineer., • Headphones or studio monitors suitable for critical listening. Preferred • Formal training in music performance, theory, or composition., • Credited or commercially released production, engineering, or mixing work., • Broad familiarity with contemporary Bengali genres, sub-genres, and artists. Start Date • Immediate Application Process (Takes 20–30 mins to complete) • Upload resume, • Complete the application steps, including the Bilingual Competency Interview in Bengali, • Receive next steps and onboarding details within a few days Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Music Production Expert - Hungarian Type: Contract Compensation: $20–$36/hour Location: Remote Duration: Up to 6 months Commitment: 20+ hours/week Role Responsibilities • Evaluate AI-generated music across genres for musicality, creativity, prompt adherence, vocal quality, and production/mix quality., • Label songs by genre, structure, instruments, vocals, and other musical characteristics., • Review AI-generated lyrics and vocals against reference material for quality and accuracy., • Work independently and asynchronously to meet deadlines while improving AI model performance. Qualifications Must-Have • Native or near-native proficiency in Hungarian., • Ability to follow detailed written instructions in English., • 2+ years of experience as a music producer, audio engineer, or mixing engineer., • Headphones or studio monitors suitable for critical listening. Preferred • Formal training in music performance, theory, or composition., • Credited or commercially released production, engineering, or mixing work., • Broad familiarity with contemporary Hungarian genres, sub-genres, and artists. Start Date • Immediate Application Process (Takes 20–30 mins to complete) • Upload resume, • Complete the application steps, including the Bilingual Competency Interview in Hungarian, • Receive next steps and onboarding details within a few days Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Music Audio Expert - German Type: Contract Compensation: $43/hour Location: Remote Duration: Up to 6 months Commitment: 10+ hours/week Role Responsibilities • Evaluate AI model output lyrics, voice generation, and other standards across different music categories., • Score the quality of musical training data to enhance model performance., • Write music in the domain language listed in the title, ensuring high-quality outputs., • Understand and follow directions in the English language for effective collaboration., • Work independently and asynchronously to meet project deadlines. Qualifications Must-Have • 3+ years of experience as a music producer, audio engineer, and/or sound mixer., • College degree in music, involving both performance, theory, and lyrics., • Native or near-native proficiency in both German and English. Preferred • Evidence of understanding musical performance, theory, and lyrics., • Past experience writing lyrical music in the domain language listed in the title. Start Date • Immediate Application Process (Takes 20–30 mins to complete) • Upload your resume and application form., • Complete a 25-minute conversational interview on your background, experience, and motivations., • Receive next steps and onboarding details within a few days. Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Music Audio Expert - Turkish Type: Contract Compensation: $16/hour Location: Remote Duration: Up to 6 months Commitment: 10+ hours/week Role Responsibilities • Evaluate AI model output lyrics, voice generation, and other standards., • Score the quality of musical training data., • Write music in the domain language listed in the title., • Understand directions in the English language., • Work independently and asynchronously to meet deadlines while improving AI model performance. Qualifications Must-Have • 3+ years experience as a music producer, audio engineer, and/or sound mixer., • College degree in music, involving both performance, theory, and lyrics., • Past experience writing lyrical music in the domain language listed in the title., • Native or near-native proficiency in both Turkish and English. Start Date • Immediate Application Process (Takes 20–30 mins to complete) • Upload resume and application form., • Complete a 25-minute conversational interview on your background, experience, and motivations., • Receive next steps and onboarding details within a few days. Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Music Production Expert - Hebrew Type: Contract Compensation: $17–$42/hour Location: Remote Duration: Up to 6 months Commitment: 20+ hours/week Role Responsibilities • Evaluate AI-generated music for musicality, creativity, prompt adherence, vocal quality, and production/mix quality., • Label songs by genre, structure, instruments, vocals, and other musical characteristics., • Review AI-generated lyrics and vocals against reference material for quality and accuracy., • Work independently and asynchronously to meet deadlines while improving AI model performance., • Collaborate with AI research teams to enhance the quality of AI-generated music. Qualifications Must-Have • Native or near-native proficiency in Hebrew., • Ability to follow detailed written instructions in English., • 2+ years of experience as a music producer, audio engineer, or mixing engineer., • Headphones or studio monitors suitable for critical listening. Preferred • Formal training in music performance, theory, or composition., • Credited or commercially released production, engineering, or mixing work., • Broad familiarity with contemporary Hebrew genres, sub-genres, and artists. Start Date • Immediate Application Process (Takes 20–30 mins to complete) • Upload resume, • Complete the Bilingual Competency Interview in Hebrew, • Receive next steps and onboarding details within a few days Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Music Production Expert - Punjabi Type: Contract Compensation: $15/hour Location: Remote Duration: Up to 6 months Commitment: 20+ hours/week Role Responsibilities • Evaluate AI-generated music for musicality, creativity, prompt adherence, vocal quality, and production/mix quality., • Label songs by genre, structure, instruments, vocals, and other musical characteristics., • Review AI-generated lyrics and vocals against reference material for quality and accuracy., • Work independently and asynchronously to meet deadlines while enhancing AI model performance. Qualifications Must-Have • Native or near-native proficiency in Punjabi, and the ability to follow detailed written instructions in English., • 2+ years of experience as a music producer, audio engineer, or mixing engineer., • Headphones or studio monitors suitable for critical listening. Preferred • Formal training in music performance, theory, or composition., • Credited or commercially released production, engineering, or mixing work., • Broad familiarity with contemporary Punjabi genres, sub-genres, and artists. Start Date • Immediate Application Process (Takes 20–30 mins to complete) • Upload resume, • Complete the application steps, including the Bilingual Competency Interview in Punjabi Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Music Audio Expert - Greek Type: Contract Compensation: $16/hour Location: Remote Duration: Up to 6 months Commitment: 10+ hours/week Role Responsibilities • Evaluate AI model output lyrics, voice generation, and other standards., • Score the quality of musical training data., • Write music in the domain language listed in the title., • Understand directions in the English language., • Work independently and asynchronously to meet deadlines while improving AI model performance. Qualifications Must-Have • 3+ years experience as a music producer, audio engineer, and/or sound mixer., • College degree in music, involving both performance, theory, and lyrics., • Native or near-native proficiency in both Greek and English. Preferred • Evidence of understanding musical performance, theory, and lyrics., • Past experience writing lyrical music in the domain language listed in the title. Start Date • Immediate Application Process (Takes 20–30 mins to complete) • Upload your resume and application form., • Complete a 25-minute conversational interview on your background, experience, and motivations., • Receive next steps and onboarding details within a few days. Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Music Production Expert - Bengali Type: Contract Compensation: $11–$19/hour Location: Remote Duration: Up to 6 months Commitment: 20+ hours/week Role Responsibilities • Evaluate AI-generated music across genres for musicality, creativity, and production quality., • Compare songs head-to-head on prompt adherence, vocal quality, and mix quality., • Label songs by genre, structure, instruments, and vocals., • Review AI-generated lyrics and vocals for quality and accuracy against reference material., • Work independently and asynchronously to meet deadlines and improve AI model performance. Qualifications Must-Have • Native or near-native proficiency in Bengali., • Ability to follow detailed written instructions in English., • 2+ years of experience as a music producer, audio engineer, or mixing engineer., • Headphones or studio monitors suitable for critical listening. Preferred • Formal training in music performance, theory, or composition., • Credited or commercially released production, engineering, or mixing work., • Broad familiarity with contemporary Bengali genres, sub-genres, and artists. Start Date • Immediate Application Process (Takes 20–30 mins to complete) • Upload your resume., • Complete the Bilingual Competency Interview in Bengali., • Receive next steps and onboarding details within a few days. Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Music Audio Expert - Hindi Type: Contract Compensation: $13/hour Location: Remote Duration: Up to 6 months Commitment: 10+ hours/week Role Responsibilities • Evaluate AI model output lyrics, voice generation, and other standards in various music categories., • Score the quality of musical training data to enhance model performance., • Write music in the domain language listed in the title, ensuring high-quality outputs., • Understand and follow directions in the English language for accurate assessments., • Work independently and asynchronously to meet deadlines and improve AI model performance. Qualifications Must-Have • 3+ years experience as a music producer, audio engineer, and/or sound mixer., • College degree in music, involving performance, theory, and lyrics., • Native or near-native proficiency in both Hindi and English. Preferred • Evidence of understanding musical performance, theory, and lyrics. Start Date • Immediate Application Process (Takes 20–30 mins to complete) • Upload resume and application form., • Complete a 25-minute conversational interview on your background, experience, and motivations., • Receive next steps and onboarding details within a few days. Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

About MITO AI: MITO AI is a collaborative, AI-native platform reinventing how films, commercials, and music videos are made. We are building the operating system for a $300B+ global video production industry shifting to AI-native workflows. Based between San Francisco and Madrid, MITO combines state-of-the-art AI models for image, video, and audio with professional-grade agentic editing tools in a multiplayer, browser-based canvas. Individuals and teams can bring ideas to life by directing AI agents to create scenes and edit in real time. MITO was founded by Iñaki Berenguer (MIT, PhD Cambridge, 5x founder — Pixable acquired by SingTel, CoverWallet $300M exit, iPronics $50M raised), Danny Saltaren (product designer at 2 unicorns, National Design Award), and Arantxa Barcia (award-winning filmmaker). We are backed by Lightspeed Venture Partners, Bessemer Venture Partners, and other investors including Kibo Ventures, K Fund, Sequoia and a16z scouts, LifeX, Everywhere, 5 unicorn founders, and execs from GitHub and Roblox. The Role: This role owns the full sales cycle for MITO's AI-powered production platform (MITO Tools) and studio services (MITO Films) — selling to brands, ad agencies, and production companies who are only beginning to figure out what "AI-native content production" means for them. You will work closely with founders and Solutions Engineers in early-stage deals, run the full cycle from first outbound touch to signed contract, and coordinate tightly with Customer Success and Production — since MITO blends software with hands-on service delivery. This is not a transactional, self-serve sale. This is a high-agency AE who can map a client's production workflow, build a business case where none existed before, and close. Key Responsibilities: Pipeline & Discovery • Build outbound and inbound pipeline targeting brands, ad agencies, and production houses, • Run discovery calls that map a client's content production workflow and pain points, • Lead product demos, often paired with a founder or Solutions Engineer in early-stage settings Full-Cycle Deal Management • Own proposal, negotiation, contract, and close end to end, • Coordinate closely with Customer Success and Production teams to hand off and deliver — critical here, since MITO blends SaaS with service delivery, • Keep pipeline and forecast accurate and current in CRM (HubSpot/Salesforce) Market & Category Building • Feed market feedback directly to the product team — you'll be one of the closest people to how buyers actually think about this still-forming category, • Help sharpen MITO's positioning and messaging as the market matures About You: • Sales Track Record: You have 2+ years of B2B SaaS sales experience in a consultative motion — not transactional or self-serve. You can back this up with real numbers: quota attainment %, ACV, pipeline managed., • Category Comfort: You're energized, not intimidated, by selling something buyers don't have a category for yet. You've built business cases from scratch before., • Domain Instinct: Experience selling to agencies or brands, or a background in MarTech, AdTech, or creative tools, is a strong plus., • Cross-Functional Fluency: You're comfortable working closely with Customer Success and Production teams, since delivery here isn't pure software., • Remote Collaboration: You're self-directed and comfortable operating remotely while staying tightly connected to a team split between San Francisco and Madrid. Compensation & Perks: Competitive base + uncapped variable, with an accelerator that rewards you well above target. • Competitive, market-benchmarked salary with a strong commission structure and accelerators above quota, • Flexibility to work hybrid out of our San Francisco office or fully remote within the US, • Work directly with the founding team, closing deals in a category you'll help define, • Front-row seat to the fastest-moving frontier in tech, selling a product built by repeat founders and award-winning creatives, • The chance to shape how brands, agencies, and studios buy AI-native production — before anyone else has figured it out

Job DescriptionFrontend Software Engineer Company: Confidential — first audio data research company Location: San Francisco, CA (in office 5 days per week) Compensation: $175,000 - $225,000 + competitive equity Employment Type: Full-time Visa Sponsorship: Visa transfers (OPT, H-1B transfer) About the Company The client is the first audio data research company, bringing an R&D approach to datasets with the same rigor AI labs bring to models. It believes audio is the gateway for bringing AI into the real world, and high-quality training data is the bottleneck. The client was founded in 2024 by former Scale AI engineers and operators, counts most FAANG companies and AI labs as customers, is backed by NVIDIA and top-tier investors, and has raised an $80M Series B. The Role The client is hiring Frontend Software Engineers (2+ years) to build intuitive interfaces that help users make sense of the audio data used to train AI models. You will join a fast-moving team that ships to production daily. What You Will Do • Ship polished UI features that thousands of users use every day., • Build performant interfaces on top of pipelines processing terabytes of audio data., • Design interfaces that surface LLM- and DSP-based solutions for customers., • Iterate quickly with researchers and operations to deploy data collection interfaces., • Keep improving the product with modern frontend technologies.What You Bring, • 2+ years of frontend engineering experience, • Strong Next.js, TypeScript and Tailwind CSS, • Experience building performant, data-heavy interfaces, • Ability to work in the San Francisco office 5 days a weekTech Stack Next.js, TypeScript, Tailwind CSS, Node.js, tRPC, PostgreSQL, AWS Before you apply: get a free recruiter-readiness score for your resume at CareerStanding — about a minute, no signup, and your resume stays in your browser.

Role Overview Ad Results Media (ARM) is building the next-generation operating platform that powers how the agency plans, buys, measures, and reports across audio and emerging channels. Internally known as the ARM Suite, this platform unifies order management, finance connectivity, and over time planning, buying, communications, and measurement into a single environment used by ARM, our clients, and our network partners. We are seeking a Vice President, Product to serve as the internal product owner of the ARM Suite. This role is responsible for product vision, roadmap, prioritization, and governance. The VP, Product will partner closely with Analytics, Engineering, Strategy, Operations, Finance, and Client Services to translate agency and client needs into a durable, scalable product. This role is both strategic and hands-on. The VP, Product will set long-term product direction while operating in the day-to-day decisions that shape how ARM Suite is built, governed, and adopted. Platform Ownership & Impact ARM Suite is transitioning from a vendor-led build to an internally owned product. This role mitigates vendor dependency risk, restores institutional knowledge, and ensures the platform evolves in alignment with how ARM actually wins, retains, and grows business. The VP, Product will be accountable for ARM Suite as a product — not as a collection of features, dashboards, or vendor deliverables. That means owning the charter, defining what the platform is (and is not), establishing a prioritization framework, and making the trade-offs required to ship a durable system rather than a set of bespoke responses to internal requests. ARM Suite is, at its core, an API-driven platform. It depends on durable pipelines to media buying systems, measurement partners, finance, network partners, and client-side data sources to keep users in ARM’s environment rather than dependent on parallel tools. The VP, Product owns the API and integration strategy that makes this possible. Key Responsibilities Product Vision & Roadmap • Be accountable for the end-to-end product vision and multi-year roadmap for the ARM Suite, including order management, finance connectivity, planning, buying, communications, and measurement workflows., • Translate ARM’s commercial strategy, client needs, and partner relationships into a clear product narrative and sequenced roadmap., • Define what ARM Suite is, what it is not, and what “done” looks like at each phase, with explicit trade-offs documented for leadership., • Own ARM Suite’s API and integration strategy, including API pipelines into media platforms, measurement partners, finance and billing systems, network partners, and third-party enrichment sources that keep users inside ARM Suite. Vendor Reduction & Internal Capability Building • Lead the structured reduction of third-party dependency by extracting institutional knowledge, documenting business rules, and transitioning ownership of roadmap and prioritization in-house., • Review and approve product designs, scope, and delivery plans proposed by vendors; ensure work aligns to ARM’s long-term roadmap, • Partner with the Senior Data Engineer to ensure clean separation between platform design (Product) and data correctness and pipeline ownership (Engineering / Analytics). Governance, Prioritization & Intake • Establish and operate a product-governed intake and prioritization framework that replaces ad hoc requests with a defensible, transparent process — while preserving fast paths for revenue-critical work., • Define and enforce the authority split between Product (system design and prioritization) and Analytics (metric definitions, QA, and interpretation)., • Document and socialize standards for product decisions, business rules, and platform constraints so they persist beyond individual contributors., • Partner with Analytics to operationalize a formal QA delegation model within ARM Suite intake and delivery workflows. Cross-Functional Leadership • Serve as a trusted partner to Analytics & Insights, Reporting, Data Science, Strategy, Planning, Operations, Finance, and Client Services., • Bridge the gap between platform capability and agency workflows, ensuring product decisions reflect how ARM teams actually plan, buy, and report., • Influence and align senior leaders on roadmap sequencing, trade-offs, and investment cases without relying on positional authority alone., • Build a product practice over time — starting solo, with a clear path to scale through hires and contributors as the platform matures. Client & Partner Orientation • Ground product decisions in real client and network-partner needs through structured exposure to top-revenue accounts, partner conversations, and pitch motions., • Ensure ARM Suite produces standardized, credible artifacts for sales, planning, and renewal motions rather than bespoke, one-off deliverables., • Position ARM Suite as a durable differentiator that creates switching costs and supports long-term client retention and expansion. Ideal Candidate Profile Required Experience • 10+ years of product management experience, including senior product leadership (Director, Sr. Director, or VP) at a SaaS, agency-tech, ad-tech, mar-tech, or analytics platform company., • Demonstrated experience owning a B2B platform or product line end-to-end — vision, roadmap, prioritization, governance, and stakeholder management., • Track record of leading internal product ownership through transitions away from third-party engineering vendors, contractors, or outsourced build partners., • Experience operating in environments that combine internal teams with external engineering partners, with a clear philosophy on what should be owned in-house vs. outsourced., • Deep, hands-on capability with API-driven product design — including standing up API pipelines, integrating third-party data sources for user-facing enrichment, and shipping products built on APIs from scratch. Preferred Experience • Prior experience in media, advertising, agency, ad-tech, or mar-tech environments, with an understanding of planning, buying, measurement, and client reporting., • Familiarity with order management, finance/billing connectivity, and workflow tools that span multiple internal stakeholders., • Broad working knowledge of APIs across the advertising, media, and ad-tech ecosystem (e.g., DSPs, programmatic platforms, measurement and attribution partners, audio and CTV systems), with a track record of using them to extend product capability., • Comfort working closely with Analytics, Data Engineering, and Data Science functions; able to engage substantively on data models, BI tooling, and measurement frameworks without owning them., • Experience standing up product governance, intake frameworks, and prioritization processes in organizations transitioning from ad hoc to durable operating models. Personal Attributes • Strong communicator and executive-level storyteller; can move comfortably between vendor architecture reviews, leadership strategy discussions, and client-facing conversations., • Pragmatic and business-oriented, with an appreciation for balancing ideal product strategy with real-world commercial and operational constraints., • High ownership mindset; comfortable being the only product leader in the room and building the function from the ground up., • Collaborative, curious, and motivated by building durable systems that compound the value of every team they touch. Ad Results Media is an equal opportunity employer. We value diverse perspectives and believe strong product organizations are built at the intersection of operational excellence, business judgment, and a deep understanding of how teams and clien

Job DescriptionSenior Full Stack Engineer, Solve VoiceJoin us at Zendesk, where we're on a mission to power exceptional service for every person on the planet. We're accelerating that ambition by building products rooted in AI, automation, and intelligent customer experiences, because behind every interaction lies an opportunity to make a human connection.We’re seeking a Senior Full Stack Engineer to build the real-time voice AI product that makes live conversations feel natural and reliable. Your work will reduce latency, improve conversation flow, and make voice interactions an effective channel for AI-driven support.What you’ll be doingDesign and implement backend services powering real-time voice conversations, focusing on latency, reliability, and observability.Build integrations for telephony, WebRTC, real-time audio processing, and external AI/speech services.Ship end-to-end product features across backend systems and user-facing web experiences when required.Improve platform reliability and performance: monitoring, tracing, autoscaling, and failure recovery.Address real-time interaction challenges such as turn-taking, interruptions, responsiveness, and graceful handoff to humans.Partner with product and design to deliver voice experiences that feel polished and human.What you bring to the roleSolid backend fundamentals with experience designing APIs, async systems, and scalable integrations.Hands-on experience with real-time systems (WebRTC, WebSockets) or telephony protocols.Product-driven engineering mindset — you ship user-facing features and care about UX quality.Ability to debug and optimize latency and reliability issues in production systems.Enjoys cross-functional collaboration with product, design, and ML/speech teams.Basic qualifications3+ years building production software, with significant backend engineering experience.Experience with real-time or event-driven systems (WebRTC, SIP, streaming APIs).Proficiency in Python or equivalent backend languages and async architectures.Preferred qualificationsExperience with telephony stacks, SIP, media servers, or speech/ASR/TTS integrations.Familiarity with LLMs, speech models, or conversational AI production infrastructure.Experience on fullstack teams shipping both backend and frontend user experiences.Expertise in diagnosing performance and reliability issues under real-time constraints.The US annualized base salary range for this position is $145,000.00-$217,000.00. This position may also be eligible for bonus, benefits, or related incentives. While this range reflects the minimum and maximum value for new hire salaries for the position across all US locations, the offer for the successful candidate for this position will be based on job related capabilities, applicable experience, and other factors such as work location. Please note that the compensation details listed in US role postings reflect the base salary only (or OTE for commissions based roles), and do not include bonus, benefits, or related incentives.The intelligent heart of customer experienceZendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love.Zendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week.As part of our commitment to fairness and transparency, we inform all applicants that artificial intelligence (AI) or automated decision systems may be used to screen or evaluate applications for this position, in accordance with Company guidelines and applicable law.Zendesk is an equal opportunity employer, and we’re proud of our ongoing efforts to foster global diversity, equity, & inclusion in the workplace. Individuals seeking employment and employees at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer. If you are based in the United States and would like more information about your EEO rights under the law, please click here. Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an e-mail to peopleandplaces@zendesk.com with your specific accommodation request.SummaryLocation: Austin, Texas, United States of America; Madison, Wisconsin, United States of America; San Francisco, California, United States of AmericaType: Full time

About FaireFaire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive.We’re looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours.Keep the workplace technology Faire runs on working, every day:The AV Operations team at Faire owns the technology people rely on to meet, present, and gather. That spans conference rooms and phone booths across our offices, large training rooms and event spaces, digital signage, office background music, and live event production.As an AV Engineer, you will own day-to-day operations for our standard rooms and workplace media systems. That means preventative maintenance, hands-on break/fix, and the content pipelines behind signage and music. You will be the dedicated operational owner on the team, and you will be hands-on running events with us, from Company All Hands to leadership onsites. You will be based onsite in our San Francisco office, where most of this work happens. You will also support our other offices remotely, with occasional travel.This role requires full-time presence in our San Francisco office five days per week.You're excited about this role because…You want hands-on technical work and clear ownership of the systems you're responsible for.You measure your work by whether people can walk into a room and get started without thinking about the technology.You would rather turn a recurring failure into a runbook, a standard, or a training session than fix it repeatedly.You want to be the person IT Ops and end users come to for AV, knowing they’ll receive excellent support.You want exposure to complex AV work (Q-SYS, Dante, RF, large-format systems) by collaborating with senior AV engineers, with room to grow toward it.What you'll do:Own preventative maintenance across our standard conference rooms and phone booths, covering displays, all-in-one video bars, controllers, schedulers, table mics, and in-room cabling.Perform daily room sweeps in our SF office and receive daily room sweep reports from IT Ops across other offices, triaging findings into a same-day fix, scheduled remediation, or a strategic project.Serve as the hands-on responder for AV tickets in standard rooms against defined response and resolution targets, diagnosing and repairing hardware, cabling, mounts, controllers, schedulers, and provisioning issues.Provide remote resolution where possible through tools like Zoom Admin Portal and Logitech Sync for actions such as restarts, re-provisioning, and room setting updates.Keep managed AV devices current within the update timelines set by IT Security, covering schedulers and iPads, Mac Mini codecs, and Logitech CollabOS devices. You will plan update waves, track compliance across the fleet, and flag devices that can't be updated.Inspect displays for burn-in and image retention, enforce background rotation standards, and validate that display power schedules are applied and behaving.Own the digital signage content pipeline across offices, from intake and scheduling through publishing and expiration, and maintain templates so content ships at spec.Own day-to-day administration of office background music, including account approval, endpoint troubleshooting, zone volume, and scheduled on and off by office. You will enable our Workplace partners to manage their own playlists and zones.Maintain common-area displays and shared AV in lounges, cafés, gaming areas, and open spaces, and keep a documented spares inventory with reorder thresholds.Keep room records, as-built notes, SOPs, and runbooks current, and write repeatable procedures for IT Ops so first-line fixes don't have to reach you.Train and enable end users in our complex rooms and event spaces, covering source and display selection, Zoom Rooms controllers, UCI panel basics, wireless mic handling, and podium inputs. You are first-line guidance for teams self-running smaller live events.Surface patterns from daily sweeps, including repeat failures and rooms trending toward end of life, and feed that data into lifecycle and refresh planning.Support live events across our offices, from smaller-tier events teams self-run to full productions, covering setup, sound checks, mic handling, and day-of support.Partner with our senior AV engineers on DSP, Q-SYS, Dante, RF, and complex-room work, bringing them a documented diagnosis and staying on the problem with them through the fix.We're excited about you because you have:2 to 4 years supporting AV, IT, or workplace technology.Hands-on experience with video conferencing room systems. Zoom Rooms strongly preferred, along with Logitech (Rally family, Tap, Sync) or equivalent.Comfort with displays, mounts, cabling, and HDMI and USB signal flow, backed by a real troubleshooting methodology rather than trial and error.Working knowledge of networking fundamentals, including IP, VLANs, PoE, and DHCP, and how AV devices depend on them.Ticket-driven support experience with clear written documentation habits.A service orientation that holds up under pressure. This role is visible to employees and leadership in live meeting spaces.The physical ability to work on ladders, lift equipment, and access ceilings and racks.You'll stand out if you have:Digital signage platform experience.Familiarity with commercial audio, including passive speaker systems, amplifiers, and DSP concepts at the operational level.Exposure to Q-SYS, Shure, or Dante environments.MDM familiarity for Apple devices.A live event or production support background.Salary range:San Francisco: the pay range for this role is $144,000 to $198,000 per year. This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.Hybrid Faire employees currently go into the office 3 days per week on Tuesdays, Thursdays, and a third flex day of their choosing (Monday, Wednesday, or Friday). Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting. Why you’ll love working at FaireMove fast: You'll own meaningful problems that serve customers around the globe with the agency to move fast and see your results clearly.Equipped to scale: We invest in what matters, including the latest enterprise AI tools, to help you work smarter and get more out of every day.Best in class: Our team is full of sharp, kind, and generous colleagues who care about their craft and about helping you grow in yours.Real rewards. Competitive pay, equity, and comprehensive benefits designed to support your life inside and outside of work.Belonging: We're intentional about building an environment where every Faire employee has equal access to opportunities, growth, and success.Faire was founded in 2017 by a team of early product and engineering leads from Square. We’re backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Toronto, London, and New York. To learn more about Faire and our customers, you can read more on our blog.Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression.Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs. To request reasonable accommodation, please fill out our Accommodation Request Form (PrivacyFor information about the type of personal data Faire collects from applicants, as well as your choices regarding the data collected about you, please visit Faire’s Privacy Notice (https://www.faire.com/privacy)

Job-ID: 157820Category: EngineerLocation: San Francisco, CA, United StatesSchedule: Full time, Level 4Posted: 2026-10-13 As an A/V Engineer at Uber, you will play a pivotal role in architecting, implementing, and supporting advanced A/V systems across our global office footprint. You will work cross

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OpenAI in San Francisco is seeking an Audio Engineer to be the senior audio authority for livestreams, broadcasts, studio recordings, and on-location events. You will design resilient audio systems, serve as A1 when failures are visible, and deliver exceptional spoken-word audio across live, remote,

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The ideal candidate has a college degree in music and at least 3 years of experience as a music producer or audio engineer, with native English proficiency and demonstrated experience writing music in the domain language #J-18808-Ljbffr. Mercor is seeking a Music Audio Expert to evaluate AI-generat

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Music Audio Expert - Telugu Type: Contract Compensation: $14/hour Location: Remote Duration: Up to 6 months Commitment: 10+ hours/week Role Responsibilities • Evaluate AI model output lyrics, voice generation, and other standards to enhance musical quality., • Score the quality of musical training data to ensure high standards in model outputs., • Collaborate with teams to improve AI model performance in generating music., • Work independently and asynchronously to meet deadlines and project goals., • Utilize expertise in writing music in the domain language to refine model outputs. Qualifications Must-Have • 3+ years experience as a music producer, audio engineer, or sound mixer., • College degree in music, covering performance, theory, and lyrics., • Native or near-native proficiency in both Telugu and English. Preferred • Evidence of understanding musical performance, theory, and lyrics., • Past experience writing lyrical music in the domain language. Start Date • Immediate Application Process (Takes 20–30 mins to complete) • Upload resume, • Complete a 25-minute conversational interview on your background, experience, and motivations, • Receive next steps and onboarding details within a few days Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.