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ai researcher

Rogo

<div>
 <strong>
  Why Rogo
  <br/>
  <br/>
 </strong>
 Our mission is to transform global finance by empowering professionals at the world's top investment banks, private equity funds, and investment firms with AI that delivers unparalleled speed, accuracy, and insight. We're not just improving financial workflows; we're redefining them.
 <br/>
 <br/>
 This is a unique opportunity to join a generational company driving transformation in one of the most important industries in the world. With a rapidly growing, global client base, proven product-market fit, and backing from world-class investors, we are scaling quickly and defining a new category of enterprise AI.
 <br/>
 <br/>
 Our team is sharp, motivated, and deeply committed to Rogo&rsquo;s mission. We take ownership of complex problems and stay relentlessly focused on our users. If you thrive in a fast-paced environment, demand excellence, and want to help build the future of finance, we invite you to join us.
 <br/>
 <br/>
 <strong>
  What You Will Own
  <br/>
  <br/>
 </strong>
 As an AI researcher at Rogo, you will be at the cutting edge of translating recent technological breakthroughs into transformative financial products. You will leverage the latest developments in LLMs and Reinforcement Learning &ndash; technologies we believe will fundamentally reshape knowledge work &ndash; placing you at the heart of this exciting transformation.
 <br/>
 <br/>
 <ul>
  <li>
   Architect end to end learned systems combining the power of LLMs and Reinforcement Learning to automate entire financial workflows
  </li>
  <li>
   Design and build large-scale infrastructure for evaluating answer and response quality, and directly feed this data back into learned systems as a reward
  </li>
  <li>
   Partner closely with product managers and engineers to ensure every solution you build delivers genuine user value and is guided by real needs
  </li>
  <li>
   Raise the bar for code quality, reliability and product velocity. Collaboratively, you'll push yourself and peers to develop technically and interpersonally.
   <br/>
   <br/>
  </li>
 </ul>
 What You Will Need
 <br/>
 <br/>
 <ul>
  <li>
   Bachelors in Computer Science or related degree.
  </li>
  <li>
   3-6 years of experience working on large language model training or post-training (or equivalent PhD)
  </li>
  <li>
   Highly proficient in writing LLM training code in PyTorch or JAX
  </li>
  <li>
   Experience with a strongly typed language (e.g., Rust, C++, or Java)
  </li>
  <li>
   Strong programming skills and general Computer Science knowledge
   <br/>
   <br/>
  </li>
 </ul>
 Bonus
 <br/>
 <br/>
 <ul>
  <li>
   Experience working directly in training or post-training LLM at a frontier lab (OpenAI, Anthropic, DeepMind, Meta)
  </li>
  <li>
   Experience with deep reinforcement learning in any context (autonomous vehicles, robotics, or LLMs)
  </li>
  <li>
   Experience working with data generated by human experts for model training
  </li>
  <li>
   Financial services experience
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Who You Are
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You thrive in fast-paced environments. You are high-intensity and care a lot about what you do, and you're ecstatic to work at a startup.
  </li>
  <li>
   You are ambitious. You have fun solving problems that others think are impossible.
  </li>
  <li>
   You are curious. You find joy in learning about AI, technology, and finance.
  </li>
  <li>
   You are an owner. You are autonomous, self-directed, and comfortable working with ambiguity.
  </li>
  <li>
   You are collaborative, organized, thoughtful, and kind.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Why Join Rogo?
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Up and to the right: Rogo has strong product adoption with the world's leading financial institutions, and we are still early. The upside is enormous.
  </li>
  <li>
   Extraordinary team: we take talent density seriously. You'll do the best work of your career alongside some of the sharpest people in AI and finance.
  </li>
  <li>
   A one-of-one problem: bringing AI to the core of how Wall Street works is one of the most ambitious, technically demanding, and consequential problems today. There is nowhere else you can work on it at this scale.
  </li>
  <li>
   Real ownership: You'll own real surface area and watch the world's most sophisticated users rely on your work.
  </li>
  <li>
   Always at the frontier: we work at the edge of what the best models can do and turn it into products people trust. If you're obsessed with AI, this is where it's happening.
  </li>
 </ul>
</div>


AI Researcher

Alignerr

<div>
 <strong>
  English Audio Transcription Specialist (AI Training)
  <br/>
  <br/>
 </strong>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 What if your sharp ear and command of English could directly shape how AI listens to and understands the spoken word? We're looking for English Audio Transcription Specialists in the New York metro area to convert spoken audio into accurate, well-formatted text &mdash; helping AI systems learn to process real human speech with all its accents, nuances, and complexity.
 <br/>
 <br/>
 This is a fully remote, flexible contract role. No prior transcription or AI experience is required &mdash; just excellent English listening skills, strong attention to detail, and a reliable internet connection.
 <br/>
 <br/>
 <ul>
  <li>
   Organization: Alignerr
  </li>
  <li>
   Type: Hourly Contract
  </li>
  <li>
   Location: Remote
  </li>
  <li>
   Commitment: 10&ndash;40 hours/week
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You'll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Listen to audio recordings in English and produce precise, verbatim transcriptions
  </li>
  <li>
   Accurately capture spoken content including natural speech patterns, filler words, and speaker changes where required
  </li>
  <li>
   Apply consistent formatting, punctuation, and spelling conventions according to project guidelines
  </li>
  <li>
   Identify and flag unclear, inaudible, or ambiguous audio segments
  </li>
  <li>
   Handle a diverse range of audio types &mdash; conversations, interviews, lectures, podcasts, customer interactions, and more
  </li>
  <li>
   Review and proofread transcriptions for accuracy, completeness, and adherence to style guides
  </li>
  <li>
   Work independently and asynchronously &mdash; fully on your own schedule
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Who You Are
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Native or near-native fluency in English with excellent listening comprehension
  </li>
  <li>
   Strong written English skills &mdash; confident with grammar, spelling, and punctuation
  </li>
  <li>
   Naturally detail-oriented with a consistent, methodical approach to work
  </li>
  <li>
   Able to follow structured guidelines and apply them accurately at scale
  </li>
  <li>
   Comfortable working with different accents, speaking speeds, and audio quality levels
  </li>
  <li>
   Self-motivated and reliable when working independently
  </li>
  <li>
   No prior transcription, AI, or tech experience required
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice to Have
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience in transcription, closed captioning, subtitling, or stenography
  </li>
  <li>
   Familiarity with transcription tools or audio editing software
  </li>
  <li>
   Background in linguistics, journalism, communications, or media production
  </li>
  <li>
   Experience working with varied English dialects and accents (American, British, Australian, Indian, etc.)
  </li>
  <li>
   Fast, accurate typing skills (70+ WPM)
  </li>
  <li>
   Knowledge of specialized vocabulary in fields such as medicine, law, technology, or finance
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Why Join Us
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Work on cutting-edge AI projects alongside leading research labs
  </li>
  <li>
   Fully remote and flexible &mdash; work when and where it suits you
  </li>
  <li>
   Freelance autonomy with the structure of meaningful, task-based work
  </li>
  <li>
   Contribute to AI development that directly improves how technology understands human speech
  </li>
  <li>
   Build skills in a high-demand field at the intersection of language and AI
  </li>
  <li>
   Potential for ongoing work and contract extension as new projects launch
  </li>
 </ul>
</div>


English Audio Transcription Specialist

DataAnnotation

<div>
 We are looking for an existing AI Content Writing Specialist to help train AI models. You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of each model.
 <br/>
 <br/>
 In this role, you will need to hold an expert level of writing, editing, and content development. Other related fields include, but are not limited to: Communications and/or Journalism.
 <br/>
 <br/>
 <strong>
  Advantages Of Contracting With Us
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You'll be able to choose which projects you want to work on and when
  </li>
  <li>
   You work on your own schedule, on your own computer, from the comfort of your own home
  </li>
  <li>
   Projects are paid hourly starting at $25-$30+/hr, with bonus rates available on some projects
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Give AI chatbots writing and editing tasks and evaluate their outputs
  </li>
  <li>
   Evaluate the quality produced by AI models for correctness and performance
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Fluency in English (native or bilingual level)
  </li>
  <li>
   Detail-oriented
  </li>
  <li>
   Excellent command of grammar, style, and brand voice
  </li>
  <li>
   A current, in progress, or completed Bachelor's is preferred but not required
  </li>
  <li>
   Detail-oriented Excellent command of grammar, style, and brand voice.
  </li>
  <li>
   A current, in progress, or completed Bachelor's is preferred but not required.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Note
  <br/>
  <br/>
 </strong>
 Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in the United States will be considered for this role. This is an independent contractor position.
 <br/>
 <br/>
 #generalist
</div>


AI Content Writing Specialist - AI Trainer

Google

<div>Note: By applying to this position you will have an opportunity to share your preferred working location from the following: <b>Mountain View, CA, USA; New York, NY, USA</b>.<h3 class="jobSectionHeader"><b>
Minimum qualifications:</b></h3><ul>
<li>Bachelor's degree or equivalent practical experience.<br>
</li>
<li>13 years of experience in data analytics, trust and safety, policy, cybersecurity, business strategy, or related fields.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>Master's degree or PhD in a relevant field.</li>
<li>Experience in SQL, building dashboards, data collection/transformation, visualization/dashboards, or a scripting/programming language (e.g. Python).</li>
<li>Experience working with engineering and product teams to create tools, solutions, or automation to improve user safety.<br>
</li>
<li>Experience working closely with policy teams.<br>
</li>
<li>Education in, or experience with, machine learning.<br>
</li>
<li>Excellent communication and presentation skills (written and verbal) and the ability to influence cross-functionally at various levels.<br>
</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
Trust &amp; Safety team members are tasked with identifying and taking on the biggest problems that challenge the safety and integrity of our products. They use technical know-how, excellent problem-solving skills, user insights, and proactive communication to protect users and our partners from abuse across Google products like Search, Maps, Gmail, and Google Ads. On this team, you're a big-picture thinker and strategic team-player with a passion for doing what&rsquo;s right. You work globally and cross-functionally with Google engineers and product managers to identify and fight abuse and fraud cases at Google speed - with urgency. And you take pride in knowing that every day you are working hard to promote trust in Google and ensuring the highest levels of user safety.</p>
<p>
The Responsible AI (RAI) pillar within Google Trust and Safety focuses on driving One Google solutions for industry-leading responsible AI applications. It is a global team with Responsible AI domain expertise and different backgrounds in operations, strategy, ethics, risk management, product management, and program management.
</p><p>Within RAI, the Responsible AI Strategy function fosters coherent strategies and approaches on a range of priority AI issues. We partner with teams across Alphabet and with others across industry to address key AI challenges; we develop and deliver evaluation frameworks; and we help partner teams navigate risks and opportunities related to AI-generated content.</p><p>
At Google we work hard to earn our users&rsquo; trust every day. Trust &amp; Safety is Google&rsquo;s team of abuse fighting and user trust experts working daily to make the internet a safer place. We partner with teams across Google to deliver bold solutions in abuse areas such as malware, spam and account hijacking. A team of Analysts, Policy Specialists, Engineers, and Program Managers, we work to reduce risk and fight abuse across all of Google&rsquo;s products, protecting our users, advertisers, and publishers across the globe in over 40 languages.</p>
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
<br>
<br>
US: $219000 - $306000 (USD) + 25% bonus target + equity + benefits<br>
<br>
Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Be accountable for cross-cutting clarity, foresight, and strategic alignment for trust and safety issues pertaining to agentic AI products and models.</li>
<li>Drive projects to address priority agentic AI risks and opportunities, in partnership with a range of functional and product partners.</li>
<li>Participate in response to escalations and incidents alongside partners across Google and DeepMind.<div>
Engage as needed with product and modeling teams to support the above.</div></li>
<li>Ensure clear and consistent communications to senior leadership across trust and safety and beyond on key plans and projects.</li>
<li>Provide partnership and support to other cross-cutting issue areas as needed. This role will work with sensitive content or situations and may be exposed to graphic, controversial, or upsetting topics or content.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. 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. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Senior Principal Analyst, Responsible AI Strategy

Aircall

<p></p><div><div><p><div><div><div><b>New York Office</b></div><div><b>Engineering &ndash; 13008 - Data /</b></div><div><b>Permanent Full Time Employee /</b></div><div><b>Hybrid</b></div></div></div><p>
</p></p></div><div><div><div>
Aircall is a unicorn, AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, resolve issues faster, and scale customer-facing teams. We&rsquo;re redefining customer communications by bringing voice, SMS, WhatsApp, and AI together into one seamless workspace.</div>
<div></div>
<div>Our momentum comes from a simple idea: help teams work smarter, not harder. Aircall&rsquo;s AI Voice Agent automates routine calls, AI Assist streamlines post-call work, and AI Assist Pro delivers real-time guidance so people can do their best work. The result is higher revenue, faster resolutions, and teams that scale with confidence.</div>
<div></div>
<div>Aircall is headquartered in Paris, our European HQ, with a strong North American presence anchored in Seattle, our North American HQ, and teams across Madrid, London, Berlin, San Francisco, New York City, Sydney, and Mexico City. We&rsquo;ve built a product customers love and a business that&rsquo;s scaling quickly, backed by world-class investors and driven by rapid AI innovation across multiple product lines.</div>
<div>At Aircall, you&rsquo;ll join a company in motion. We&rsquo;re ambitious, product-driven, and execution-focused, with visible impact, fast decisions, and real growth.</div>
<div></div>
<div><b>How we work at Aircall: </b>We&rsquo;re customer-obsessed, data-driven, and focused on delivering meaningful outcomes. We value ownership, continuous learning, and thoughtful speed. If you thrive in a collaborative, fast-moving environment where trust and impact matter, you&rsquo;ll feel at home here.</div><div></div><div><br>
<div><b>
About the role
</b></div><div>The Data Engineering team at Aircall works on providing high-quality, reliable, and actionable data. As an AI-first data team, we are currently in a pivotal transition to build a robust semantic layer that will power our AI-first data platform, enabling analytics at speed and democratizing intelligent insights across the company. Some of the key problems we are currently solving include taking charge of data reliability, integrating new sources for raw data ingestion, and building sophisticated data models to power real-time dashboards and predictive analytics.</div>
<div></div>
<div>In this role, you will be instrumental in building new datasets for high-impact use cases such as churn prediction and feature adoption, while owning the end-to-end reliability and scalability of our data pipelines. You will work closely with Product and GTM business teams, sitting at the heart of a larger data organization alongside Data Science, Analytics, and Applied Scientists to bridge the gap between raw data and AI-driven decision-making.</div>
</div></div><div><div><h3 class="jobSectionHeader"><b>Your missions @ Aircall:</b></h3><div><div><div>
<ul><li>Partner with GTM stakeholders to translate business questions into reliable, scalable data products.</li>
<li>Provide actionable insights and compelling narratives to influence major decisions at the C-level.</li>
<li>Build and own reporting in Looker, from LookML development to dashboard performance optimization, powering self-service analytics GTM teams rely on every day.</li>
<li>Work closely with data engineers to continuously improve the data stack, governance practices, and analysis quality.</li>
</ul></div></div></div></div></div><div><div><h3 class="jobSectionHeader"><b>A little more about you:</b></h3><div><div><div>
<ul><li>2+ years of hands-on experience in a high growth environment</li>
<li>Proficiency in SQL for deriving insights</li>
<li>Proficiency in Python</li>
<li>Hands-on Looker/LookML experience</li>
<li>Excellent interpersonal skills and the ability to explain complex data clearly to stakeholders at all levels</li>
<li>You have an insatiable curiosity and are biased toward action</li>
</ul></div></div></div></div></div><div><div>$140,000 - $180,000 a year</div><div>
This is not including equity and other benefits. The actual salary offered will carefully consider a wide range of factors, including your skills, qualifications, and experience.</div></div><div><div><b>
Why join us?</b></div>
<div></div>
<div>   Key moment to join Aircall in terms of growth and opportunities</div>
<ul><li>️ Our people matter, work-life balance is important at Aircall</li></ul>
<div>   Fast-learning environment, entrepreneurial and strong team spirit</div>
<div>   45+ Nationalities: cosmopolite &amp; multi-cultural mindset</div>
<div>   Competitive salary package &amp; benefits</div>
<div>   Medical, dental, and vision insurance is 100% covered</div>
<div>   401k plan with company matching!</div>
<div>✈️ Unlimited PTO &mdash; take the time you need to come to work feeling great!</div>
<ul><li>️ Wellness, commuter, and childcare reimbursements</li></ul>
<div>   Generous parental leave policy</div>
<div></div>
<div>DE&amp;I Statement:</div>
<div>At Aircall, we believe diversity, equity and inclusion &ndash; irrespective of origins, identity, background and orientations &ndash; are core to our journey.</div>
<div></div>
<div>We pride ourselves on promoting active inclusion within our business to foster a strong sense of belonging for all. We&rsquo;re working to create a place filled with diverse people who can enrich and learn from one another. We&rsquo;re committed to ensuring that everyone not only has a seat at the table but is valued and respected at it by providing equal opportunities to develop and thrive.</div>
<div></div>
<div>We will constantly challenge ourselves to make sure that we live up to our ambitions around diversity, equity and inclusion, and keep this conversation open. Above all else, we understand and acknowledge that we have work to do and much to learn.</div>
<div></div>
<div>Want to know more about candidate privacy? Find our Candidate Privacy Notice here.</div></div><div><div><i>
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.</i></div></div></div></div><p></p>

Data Scientist

Edra

<div>
 <strong>
  About Edra
  <br/>
  <br/>
 </strong>
 Edra is solving one of the hardest problems in enterprise AI: AI models are generic but company processes are specific. We build AI agents that learn how processes actually run, and then run their operations.
 <br/>
 <br/>
 We're a Series A startup, backed by Sequoia and other leading VC firms, and we're growing our team in New York and London. We're a deeply technical team of engineers, AI researchers, and strategists with a high bar for talent and a shared belief that exceptional people are the foundation of everything great we'll build.
 <br/>
 <br/>
 <strong>
  The Role
  <br/>
  <br/>
 </strong>
 We're looking for Backend Engineers who care deeply about the craft of building software: strong typing, thoughtful API design, robust data modeling, and systems that are a pleasure for other engineers to work with. You won't be building AI models, you'll be building everything around them: the platform, workflows, interfaces, integrations, and observability that make our AI useful in the real world. As an early engineer at Edra, you'll shape not just the product but the engineering culture, tooling choices, and technical foundations the company is built on.
 <br/>
 <br/>
 We work deliberately and deeply. There's no separation between "building it" and "shipping it"--you'll go from whiteboard to production and own the outcome. We'd rather build something thoughtfully than ship something fragile, and we treat velocity and quality as complementary, not competing.
 <br/>
 <br/>
 <strong>
  What You'll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design and build platform systems in Python (Fast API), from API contracts to database schema and infrastructure
  </li>
  <li>
   Build and maintain connectors, integrations, and data pipelines that connect our platform to external systems
  </li>
  <li>
   Build internal libraries, tooling, and interfaces that make the rest of the engineering team more productive
  </li>
  <li>
   Own your work fully: gather context, manage dependencies, and drive tasks to completion without a product manager handing you tickets
  </li>
  <li>
   Wear multiple hats across the stack&ndash;you might design a schema in the morning, build the API layer in the afternoon, and debug a deployment issue before end of day
  </li>
  <li>
   Participate in weekly product meetings, understand how customers and forward deployed engineers use what you build, and shape what gets built next
  </li>
  <li>
   Collaborate daily with a small, high-caliber team of engineers and AI specialists
  </li>
  <li>
   Have direct influence on technical direction: choose tools, set patterns, and establish conventions the team will build on for years
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What We&rsquo;re Looking For
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3+ years of experience in software engineering (but a computer science degree is not necessarily required)
  </li>
  <li>
   A love of writing Python and/or TypeScript to a genuinely high standard&ndash;well-modeled, well-typed, and well-documented. Strong typing feels like a superpower, not a chore
  </li>
  <li>
   Experience building libraries, SDKs, or internal tooling that made other developers' lives easier (and you&rsquo;ve enjoyed it)
  </li>
  <li>
   You light up when designing a clean database schema and take real pride in getting data models right
  </li>
  <li>
   You're at your best when you own a problem end to end &mdash; comfortable with ambiguity and energized by turning a vague problem into a well-scoped solution
  </li>
  <li>
   You're drawn to building foundational systems from scratch &mdash; greenfield work where your decisions compound over time excites you
   <br/>
   <br/>
  </li>
 </ul>
 Don't meet all of the above? We'd still love to hear from you. We're looking for exceptional people with unique skills and interests, and we know that great people have different backgrounds and skillsets. If your primary interest is building agentic systems, working with LLMs, or doing applied ML, check out our AI Engineering role&ndash;it might be a better fit.
 <br/>
 <br/>
 <strong>
  Learn More About Edra
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Watch our Series A announcement video
  </li>
  <li>
   Read our blog post from our launch
  </li>
  <li>
   Learn more about what we're building
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  A Few Details
  <br/>
  <br/>
 </strong>
 Edra is an equal opportunity employer and we encourage applications from individuals of all backgrounds. Edra does not discriminate on the basis of race, color, religion, sex, national origin, age, disability, genetic information, marital status, sexual orientation, gender identity, veteran status, or any other legally protected characteristic.
 <br/>
 <br/>
 Compensation Range: $195K - $275K
 <br/>
 <br/>
</div>


Software Engineer - Back End (New York)

Giga

<div>
 <strong>
  About Giga
  <br/>
  <br/>
 </strong>
 Giga has recently raised a $61M Series A and has several paying customers, including DoorDash. We&rsquo;re building the next generation of customer experience &mdash; real-time AI agents that can understand emotion, resolve issues instantly, and scale across the world&rsquo;s largest enterprises.
 <br/>
 <br/>
 It&rsquo;s an exciting inflection point for the company. While we have been successful, we have larger ambitions. Our goal is to become the go-to AI platform for all enterprise automation, powered by our voice superintelligence. To achieve this, we need more great engineers.
 <br/>
 <br/>
 The work affects millions of people every day and our engineers have autonomy and make true impact. This opportunity is unique because we have brilliant founders, have found commercial success, and see a clear path to becoming a generational company. Some further info about us:
 <br/>
 <br/>
 <ul>
  <li>
   Voice AI startup Giga raises $61M Series A
  </li>
  <li>
   DoorDash and Giga Partnership
   <br/>
   <br/>
  </li>
 </ul>
 Giga builds AI agents trusted by the largest B2C companies in the world. Industry leaders like DoorDash trust Giga with their most complex support and operations workflows across voice, chat, and email. If being a part of this resonates with you, please apply!
 <br/>
 <br/>
 <strong>
  The Role
  <br/>
  <br/>
 </strong>
 We're looking for software engineers to help build the systems that power our AI agents. You'll work across the backend, from data pipelines and integrations to agent infrastructure, shipping features alongside experienced engineers who will help you grow.
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 This is a role where you'll contribute to real problems from day one. We expect you to ramp up quickly, take ownership of your work, and operate with increasing independence as you learn the codebase.
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 <strong>
  What You'll Work On
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 You'll contribute to projects across our stack. Some examples:
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 <ul>
  <li>
   Atlas: Building features for our AI assistant: charts and alerts in Slack, natural language queries, and expanding Atlas to manage platform resources
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  <li>
   Activity Stream: Log visualization with filters, timestamps, and frequency charts to give visibility into agent behavior
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   Dynamic knowledge: Adding time-based knowledge (like ongoing incidents) that auto-updates from sources like status pages
  </li>
  <li>
   Agent memory: Conversation awareness and recent interaction lookups so agents remember context across sessions
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  </li>
 </ul>
 As an early-career engineer, you'll be paired with senior engineers on larger initiatives while also owning smaller projects end-to-end as you ramp up.
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  You Might Be a Fit If You
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 </strong>
 <ul>
  <li>
   Have 1-3 years of professional software engineering experience
  </li>
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   Are curious and ask good questions&mdash;you want to understand why things work, not just how
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  <li>
   Can take feedback well and iterate quickly
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   Prefer shipping over perfection but still care about quality
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  <li>
   Want to grow at a startup where you'll have real responsibility early
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   <br/>
  </li>
 </ul>
 <strong>
  Perks &amp; Benefits
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 </strong>
 <ul>
  <li>
   Competitive base + bonus + equity
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   Catered lunch daily
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   Dinner stipend
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   $500/month wellness &amp; commuter benefit (gym, fitness classes, mental health)
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   401(k) plan
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  <li>
   Medical, dental, and vision coverage
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   <br/>
  </li>
 </ul>
 Giga is an equal opportunity employer. We're committed to providing equal employment opportunities regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law.
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 Compensation Range: $160K - $250K
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</div>


Software Engineer I / II

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