full stack senior lead software engineer- hedge fund technology

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ai engineer

ai engineer ii

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full stack senior lead software engineer- hedge fund technology Jobs in New York

full stack engineer

Google

<div>Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; New York, NY, USA.<h3 class="jobSectionHeader">
Minimum qualifications:</h3><ul>
<li>Bachelor&rsquo;s degree or equivalent practical experience. 
</li>
<li>5 years of experience programming in Python or C++.</li>
<li>3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).</li>
<li>3 years of experience testing, maintaining, or launching software products.</li>
<li>1 year of experience with software design and architecture.</li>
<li>1 year of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>Master's degree or PhD in Computer Science or related technical field. 
</li>
<li>5 years of experience with data structures and algorithms.</li>
<li>1 year of experience in a technical leadership role. 
</li>
<li>Experience developing accessible technologies. 
</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google&rsquo;s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

Google Cloud accelerates every organization&rsquo;s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google&rsquo;s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
 
 
US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits 
 
Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Write and test product or system development code. 
</li>
<li>Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency,) 
</li>
<li>Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. 
</li>
<li>Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality. 
</li>
<li>Design and implement GenAI solutions, leverage ML infrastructure, and evaluate tradeoffs between different techniques and their application domains. 
</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 Software Engineer, AI/ML GenAI, Google Cloud

Numeric

<div>
 
 At Numeric, we&rsquo;re building the modern data platform for accounting and finance.
 
 
 
 We&rsquo;re building the financial platform that realizes the dream of live, rich, trustworthy data and insights for companies to drive decision-making &amp; execution.
 
 
 Among our hundreds of customers are Anthropic, Notion, Brex, OpenAI, Cursor, Plaid, Wealthfront, Mercury, Figma, and Asana.
 
 
 We raised a $51M Series B in late 2025. We&rsquo;re backed by IVP, Menlo Ventures, Founders Fund, 8VC, et all. as well as founders and executives from Ramp, Segment, and more.
 
 
 
 Why Numeric?
 
 
 
 Accounting is a massive, growing data problem. Every business would like to ground their decisions, strategy, and analysis in rich, up-to-date information. Financial data, however, is poor, fragmented, delayed, and lacking context; the accounting work to bring it together is tedious and error-prone. To fix this requires foundational changes in accounting and in the broader finance function.
 
 
 We are addressing these problems at their root by building the infrastructure and product experiences to ingest events, transform them, match value movement, project interpretations, and report against our unified graph of financial data. We&rsquo;re applying principles of software engineering and data systems to scale accounting.
 
 
 We tackle the hard problems. Accounting does not need more duct tape.
 
 
 We&rsquo;ve rethought the field&mdash;its primitives, assumptions, and practices&mdash;while staying grounded by working closely with our customers. As engineers, we do our homework. We study the domain and talk to our users, and by doing so we earn the right to bring a fresh perspective to the problem of financial data.
 
 
 
 The Role
 
 
 
 Our Close product is the operating center for accounting and finance teams. Our product weaves collaboration, automation, and workflow tools with deeply-integrated financial data and reporting. Customers depend on Numeric to alert on their financial transactions, perform trend analyses, match money movement across accounts, and more as they close the books each month.
 
 
 We&rsquo;re looking for engineers who enjoy shipping in a tight feedback loop with customers, and take pride in raising the quality and robustness of the system in which they work.
 
 
 
 You might be a fit if&hellip;
 
 
 
 <ul>
 <li>
 You practice &ldquo;leave it better than you found it&rdquo; with the systems in which you work. You&rsquo;re the type who consistently refactors and improves the system, codebase, and tools as you go.
 </li>
 <li>
 You appreciate tight feedback loops with active customers, and are energized by shipping visible changes to user
 </li>
 <li>
 You&rsquo;re comfortable reasoning about systems with regard to resilience, testing, and observability
 </li>
 <li>
 You&rsquo;re excited to build systems to support and manage AI development, enabling faster pace without losing stability and quality
 
 
 </li>
 </ul>
 
 What You Need
 
 
 
 <ul>
 <li>
 3+ years of full-time experience building software, ideally some tenure of &gt;2 years in one company
 </li>
 <li>
 Fluency of backend fundamentals, including data structures, database fundamentals, performance concepts.
 </li>
 <li>
 Code design skills to build robust, high-quality programs
 
 
 </li>
 </ul>
 
 Bonus points for&hellip;
 
 
 
 <ul>
 <li>
 B2B SAAS experience, especially in related areas like finance, accounting, or in other complex domains
 </li>
 <li>
 Strong AI development workflow
 </li>
 <li>
 Strong product thinking, user empathy, or design thinking
 
 
 </li>
 </ul>
 
 How We Work
 
 
 
 
 This role is in-person in New York City.
 
 
 
 As an engineer at Numeric you will learn the domain, meet your users, and exercise substantial creativity and agency over product direction. You'll work with a high-pace, high-integrity team that loves collaboration.
 
 
 We believe the best company is the one with the best ICs and we&rsquo;ve built a culture to maximize great work. We believe great product &amp; engineering come from a desire to win, a deep care for the craft, and a pragmatism in shipping for overall impact. As engineers we ground our work in our understanding of the users, the domain, and the goals for our organization.
 
 
 We strongly believe we will only be successful if everyone on the team is anchored in our following set of core principles:
 
 
 <ul>
 <li>
 Own the Outcome: We own our results. We typically hire builders and give them large mandates with high-trust. Engineers are responsible not just for code, but for ensuring the product is solving the end problems of the users.
 </li>
 <li>
 Brick by Brick: To win, our team needs to show up and execute in each domain every day.
 </li>
 <li>
 Love the Game: We focus on the craft and a deep sense of giving a f*ck. We&rsquo;re building a company full of people who are equally engaged and motivated.
 </li>
 <li>
 Earn the right: Our ability to rethink how things are done depends on the trust and reputation we build by shipping quality products and improving the lives of our users.
 </li>
 <li>
 SALY: We refuse to accept &ldquo;Same As Last Year.&rdquo; We bring fresh eyes to a stagnated and underserved domain. We&rsquo;re driven by a first-principles approach to building better solutions.
 
 
 </li>
 </ul>
 Read some of our thoughts on engineering and company-building here.
 
 
 Compensation Range: $155K - $260K
 
 
</div>

Software Engineer, Cash & Close

Nuvo

<div>
 
 About Nuvo
 
 
 
 
 We&rsquo;re Redefining the $11T B2B Commerce and Payments Market
 
 
 
 Nuvo is bringing B2B commerce online.
 
 
 While technology has reshaped consumer commerce, the business-to-business (B2B) economy &mdash; three times larger&mdash; has lagged behind.
 
 
 From coffee to lumber, every product we use has been traded through a complex supply chain of suppliers, manufacturers, wholesalers, and retailers. Despite the massive scale of this market, most businesses manage their trading relationships and commerce activities using outdated methods like paper forms, PDFs, emails, faxes, phone calls, and spreadsheets, making processes slow and inefficient.
 
 
 Much like how Shopify, Stripe and Square have transformed how consumer companies transact, we aim to do the same for B2B companies.
 
 
 
 About The Role
 
 
 
 We are looking for smart engineers to help build category-defining products. Our problems span multi-party workflow automation, identity, risk, and large scale data. You'll partner with our engineering, design and product teams to help shape the roadmap, solve real world problems and build our 0-1 products. Your work will have huge impact: on team culture, on our customers and on the economy.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Write &amp; review high-quality, clean and performant code.
 </li>
 <li>
 Collaborate with the team to implement intuitive experiences.
 </li>
 <li>
 Play an active role in shaping the engineering culture, establishing best practices, and contributing to the growth of the team.
 </li>
 <li>
 Use the best tools for the job &mdash; we&rsquo;ve used technologies like Vue, graphql, and even built our own DSL for defining roles and permissions. What matters most is the impact you create, not the specific tools you use.
 
 
 </li>
 </ul>
 
 What You Bring
 
 
 
 <ul>
 <li>
 2+ years prior experience in building and shipping user facing products from start to finish
 </li>
 <li>
 Strong problem-solving skills and the ability to communicate technical solutions clearly.
 </li>
 <li>
 A passion for internet technologies and knowledge of trends in modern software engineering.
 </li>
 <li>
 Experience working in an early-stage engineering team or a fast growing company solving hard ambiguous problems with a strong bias for action.
 
 
 </li>
 </ul>
 
 Expected Compensation Range $135,000-$300,000
 
</div>

Software Engineer

Cerberus Capital Management

<div>
 
 Founded in 1992, Cerberus is a global leader in alternative investing with approximately $70 billion in assets across complementary credit, private equity, and real estate strategies. We invest across the capital structure where our integrated investment platforms and proprietary operating capabilities create an edge to improve performance and drive long-term value. Our tenured teams have experience working collaboratively across asset classes, sectors, and geographies to seek strong risk-adjusted returns for our investors. For more information about our people and platforms, visit us at
 
 www.cerberus.com
 
 .
 
 
 
 
 
 
 Job Purpose:
 
 
 
 We are seeking a Full Stack Hands-on Software Engineer with security-first mindset, strong product ownership, and technical expertise. The ideal candidate will lead development for back-end middle-office products, collaborate closely with business stakeholders, and deliver secure, scalable, high-quality solutions. This role requires both technical depth and the ability to translate business needs into functional products.
 
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Design and build full-stack applications using React (TypeScript) for front-end and Node.js for back-end services
 </li>
 <li>
 Develop and maintain RESTful APIs; integrate with internal and external systems
 </li>
 <li>
 Implement distributed systems and clean design principles for scalable, high-performance applications
 </li>
 <li>
 Deploy and manage cloud-based solutions on Azure (or other cloud platforms) with best practices for security and reliability
 </li>
 <li>
 Engage in security remediation activities, primarily focused on fixing findings from security vulnerability scans across business applications
 </li>
 <li>
 Write clean, maintainable code following SDLC standards; perform code reviews and enforce best practices
 </li>
 <li>
 Leverage AI tooling for SDLC automation, including but not limited to story creation and refinement, code generation, unit test development, and other repeatable operational activities
 </li>
 <li>
 Monitor and optimize application performance across the full stack
 </li>
 <li>
 Perform production support activities, applying creative thinking to effectively investigate and resolve production issues
 </li>
 <li>
 Work with SQL and related technologies to design efficient queries and manage large datasets
 </li>
 <li>
 Implement and maintain CI/CD pipelines for automated build, test, and deployment processes
 </li>
 <li>
 Engage with business analysts, stakeholders, and vendors to capture requirements and align technology with business goals
 </li>
 <li>
 Mentor junior developers, ensure timely delivery, and drive continuous improvement in development processes
 </li>
 <li>
 Clearly articulate concepts, designs, and strategies to technical and non-technical audiences.
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Articulate communicator who brings creativity to complex problem-solving skills
 </li>
 <li>
 Experience coding and building scalable solutions in React (TypeScript), Node.js and JavaScript
 </li>
 <li>
 Proven full-stack experience in API and web application development
 </li>
 <li>
 Hands-on experience identifying and addressing security vulnerabilities leveraging AI
 </li>
 <li>
 Strong knowledge of distributed systems and clean architecture principles
 </li>
 <li>
 Familiarity with Generative AI and passion for leveraging AI tools in SDLC
 </li>
 <li>
 Experience designing systems, Azure (or other cloud providers), and SQL
 </li>
 <li>
 Demonstrated ability to lead projects end-to-end with accountability for quality
 </li>
 <li>
 Ability to work independently and within cross-functional teams.
 </li>
 <li>
 Required experience in production support activities, including the ability to think creatively and effectively resolve production issues
 </li>
 </ul>
 
 
 
 
 
 Preferred:
 
 
 
 &middot; Experience with Agile methodologies
 
 
 &middot; Proficiency in Python; C# experience is a plus.
 
 
 &middot; Applied AI experience in engineering workflows or business-facing solutions
 
 
 
 
 
 
 Compensation:
 
 
 
 The base salary for this position is expected to be between $135,000.00 and $150,000.00. The base salary offered to the chosen candidate will be commensurate with a candidate&rsquo;s relevant experience and other qualifications for the position, as determined by the Company in its sole discretion. In addition to base salary, this position is eligible for an annual discretionary bonus [which is often a meaningful portion of the compensation package], and a robust benefits package.
 
</div>

Associate, Software Engineer

Radar Labs

<div><div><h2 class="jobSectionHeader">Location</h2>
New York ; US Remote
</div><div><h2 class="jobSectionHeader">Employment Type</h2>
Full time
</div><div><h2 class="jobSectionHeader">Location Type</h2>
On-site
</div><div><h2 class="jobSectionHeader">Department</h2>
Engineering
</div><div><h2 class="jobSectionHeader">Compensation</h2>
<ul><li>$200K &ndash; $300K &bull; Offers Equity</li>
</ul><div>Our salary ranges are determined by role, level, and location. The final offer may vary based on market location, job-related skills, experience, and relevant education or training.</div></div></div>
 <div>About Radar
Radar is the global leader in geolocation, with geofencing SDKs, maps APIs, and AI-enabled solutions for marketing, fraud, and operations teams.
Why is Radar the best place to work?
<ul><li>We're trusted by some of the world's best companies, from high-growth startups to the Fortune 500.
</li><li>We have incredible scale: We're processing over 1 billion API calls per day from hundreds of millions of devices.
</li><li>We're well-resourced, and we've raised $85.5M from world-class investors, including Accel and Insight Partners.
</li><li>We have a high-performance culture, with ambitious and entrepreneurial teammates in every role.
</li><li>We recently moved into an amazing new office in Flatiron, Manhattan, NYC.
</li><li>We were recently named a top 10 best place to work in NYC by Crain's.
</li></ul>Despite our growth and scale, we're still just getting started. That's where you come in.
About the role
We're looking for an Engineering Manager to lead a distributed SRE team to work on our production infrastructure. You will be responsible for supporting a team and driving a roadmap that makes Radar&rsquo;s services scalable and highly available worldwide. Radar is a high-throughput, data intensive application handling 1 billion+ API calls per day. Over the past year, Radar has been used on over 300MM devices worldwide. We run a multi-availability zone architecture and a major initiative is to enhance our deployment to be multi-region.
The stack:
We use Terraform to manage our infrastructure.
We deploy everything to AWS via EKS.
We use MongoDB deployed to Atlas.
We do CI and deployments via CircleCI.
We monitor production with CloudWatch, Grafana, Pingdom and PagerDuty.
DNS is managed by CloudFlare.
Most engineers are in the on-call rotation.
Our main server languages are TypeScript and Rust.
Our data pipelines are written in Airflow and Scala Spark.
We sponsor OpenStreetMaps, MapLibre and OpenAddresses.
How we use AI:
<ul><li>Engineers choose what AI tools they use, Claude and Codex being the most popular.
</li><li>We're actively building Claude skills - for example we've taught it how to debug HorizonDB, our geospatial database.
</li><li>All code changes are reviewed by an Engineer knowledgeable in that area. Claude and Codex also review all PRs.
</li><li>There is a range of how much engineers use AI. Most use it daily if not weekly.
</li><li>We are excited about what AI can do, but we also recognize the risks and don't compromise our coding standards.
</li></ul>How we work:
Most of our engineering team are former technical co-founders or former Radar interns from schools like Waterloo and CMU. Most engineers at Radar fit one of two molds, technically: either Staff level expertise in one stack, or Multi-Stack at any level. We say Multi-Stack because &quot;Full-Stack&quot; has the connotation of &quot;Frontend and Backend&quot;, but Radar Engineers might also work on Mobile or Data engineering. Not that you need to be an expert in all of those, but a desire to learn, jump around to different stacks and get things done is the important part.
We care a lot about shipping fast and talking to customers. We're committed to our product vision of full-stack location infrastructure, but we also know that customer feedback is a treasure map to gold. Even though Slack is the brain of our company, working together in-person in our NYC HQ is the fastest way for us to get things done. We meet on Mondays to plan out work for the week in small groups and use Linear for planning. All projects are run by an Engineering lead, an executive and a Go-to-Market lead. Engineers figure out what to build, talk to customers, talk to prospects, help close them, get them live and make them successful.
One of the hardest and most valuable practices we have is Walk A Mile - which is shorthand for putting yourself in the user's shoes - but also for literally walking a mile and dogfooding the Radar SDK, because you can't create location infrastructure behind a desk - you have see how the device behaves in the real world. To us, a week is a long time, and we expect to ship big things every week.
The hiring process:
After a call with our Technical Recruiter, you'll do several technical Zoom calls with members of our engineering team: code screen, coding round, and system design round. If those go well we'll invite you to our NYC HQ for a final round interview. You'll meet one of our co-founders, someone from outside engineering, and meet more people from Radar. We'll go into more depth about how we work to see if there is a match.
What you&rsquo;ll do:
<ul><li>Manage, grow, and mentor a globally distributed SRE team
</li><li>Be responsible for our observability, monitoring, and incident management practices
</li><li>Work on core Radar infrastructure using Terraform all deployed to AWS via EKS
</li><li>Work with our product, data, platform, and security engineers to ensure the development of highly-available, scalable, and reliable software
</li><li>Champion automation and self-service capabilities over manual processes, and have grounded perspectives on AI-assised tooling
</li><li>Drive critical company-level initiatives, for example, 99.99+% availability, multi-region deployment, and cloud cost-saving activities
</li><li>Ensure compliance and security by default in our processes and infrastructure by partnering with our GRC and security teams
</li><li>Have your work be used by 100's of millions of devices
</li><li>Be part of the on-call rotation
</li><li>Talk to Radar customers and prospects, hear their feedback, incorporate it into your work and make them successful
</li></ul>You should:
<ul><li>Be able to get your hands dirty and dive deep into production issues
</li><li>Have experience managing a production AWS environment via Terraform
</li><li>Have experience with high availability multi-region production infrastructure running on Kubernetes
</li><li>Have experience managing large sharded Mongo clusters with heavy read-write workloads
</li><li>Have experience at a high growth startup
</li><li>Be interested in talking to customers or prospects and making them successful
</li></ul>Bonus points if you:
<ul><li>Are a former technical co-founder
</li><li>Have experience with high throughput data intensive applications
</li></ul>You&rsquo;ll work with
<ul><li>Tim Julien, CTO
</li><li>Leo Kim, VP Platform Engineering
</li><li>Our Engineering, Customer Success, Sales Engineering and Sales teams
</li><li>Our customers and prospects
</li></ul>What we offer:
<ul><li>Competitive salary
</li><li>Meaningful stock options in a fast-growing company
</li><li>401(k) plan with 4% match
</li><li>New HQ in Flatiron, NYC
</li><li>Top-notch equipment
</li><li>Catered lunches
</li><li>Unlimited PTO
</li><li>Health, dental, and vision insurance with 100% coverage for employees
</li><li>12 weeks of paid parental leave
</li><li>Commuter and fitness benefits
</li></ul>We&rsquo;ll share full details of our benefits package at the offer stage. Benefits may vary by location.
Radar is an equal opportunity employer and does not discriminate on the basis of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, veteran status, or any other characteristic protected by law.
Compensation Range: $200K - $300K</div>

Engineering Manager, Site Reliability

Qureos

About the company: We build AI hiring agents. They deploy inside the enterprise systems a company already runs, or on the Qureos platform itself for teams who would rather have the whole hiring stack in one place. Either way the agents do the work recruiting teams have always done by hand, from sourcing and screening to interviewing and shortlisting, with speed and consistency no agency or traditional ATS can match. We are a Seed-stage startup backed by Prosus Ventures and COTU Ventures, having raised $5M to accelerate the future of AI-powered hiring. Trusted by more than 1,000 enterprise and public sector organizations, we're scaling rapidly as we build the next generation of AI hiring agents. Operating in a market where every unfilled role and every slow hiring loop costs real money, we are building the future of AI-powered hiring. Our agents let companies run high-volume hiring end to end without ripping out the systems their teams already live in. About the Role As a Forward Deployed Engineer, you will sit at the intersection of engineering, AI, and customer impact. You will work directly with customers to understand how they hire, find the parts of that process worth handing to an agent, and then design, build, and deploy those agents either into the customer's existing enterprise stack or onto the Qureos platform, depending on how they want to run. <ul><li>You will partner closely with customers and Qureos's product and engineering teams to customise agent workflows, improve agent performance, and bring what you learn in live deployments back into the core platform.</li><li>This role is ideal for an engineer who enjoys building production systems, working inside someone else's environment, solving ambiguous problems, and shaping how AI actually gets used in hiring.</li></ul> What You'll Do <ul><li>Embed directly with customers to understand their hiring processes, the systems those processes run on, and where an agent can take over.</li><li>Design, build, and deploy AI hiring agents that source, screen, interview, and move candidates through the funnel.</li><li>Ship those agents into the customer's existing enterprise environment, or onto the Qureos platform for customers who want the all-in-one setup.</li><li>Develop and maintain the infrastructure behind the agents, including APIs, integrations with enterprise ATS and HRIS systems, monitoring, and feedback loops.</li><li>Translate customer requirements into scalable technical solutions and production-ready deployments.</li><li>Collaborate with product and engineering teams to influence roadmap decisions based on what you see in the field.</li><li>Identify patterns across customer deployments and turn one-off integration work into something the platform supports natively.</li><li>Work across engineering, product, and customer teams to ensure successful adoption and long-term impact.</li><li>Operate independently in fast-moving environments where ownership and initiative are highly valued.</li></ul> What You'll Bring <ul><li>3+ years of software engineering experience, preferably with backend, infrastructure, or systems-focused development.</li><li>Strong programming experience in Python (experience with TypeScript/JavaScript is a plus).</li><li>Experience working with cloud platforms such as AWS, GCP, or Azure.</li><li>Ability to design and build reliable production systems, including inside environments you do not control.</li><li>Strong communication skills with the ability to work with both technical and non-technical stakeholders.</li><li>Experience working directly with customers, partners, or cross-functional teams is a plus.</li></ul> Bonus: experience with AI agents, large language models (LLMs), vector databases, prompt engineering, retrieval-augmented generation (RAG), voice agents, or integrating with enterprise ATS and HRIS platforms. Comfortable working in dynamic environments with changing priorities and high ownership. Why Join Us You'll be part of a team building a category-defining AI company in a market that has barely started to change. We move fast, we ship, and we work close to the customer. If you are excited about building AI agents that do real work, deploying them into the systems enterprises actually run, and shaping how hiring gets done, we'd love to hear from you.

Forward Deployed Engineer

Mirage

<div>Mirage is an AI-native video platform that intelligently orchestrates production and editing through natural language. Our models leverage contextual awareness to execute the same creative decisions a professional editor would &mdash; dramatically improving productivity for experienced teams, while making video creation accessible to anyone. 
 
We&rsquo;re an interdisciplinary team addressing some of the most difficult technical and creative challenges in generative media. As an early member of our team, you&rsquo;ll tackle foundational problems that remain largely unsolved across the industry, driving an outsized impact on the future of creative expression. 
More about us
Product (Captions by Mirage)
Research (Seeing Voices, technical-white-paper)
Updates (Mirage on X / twitter)
TechCrunch, Forbes AI 50, Fast Company (press) 
Our Investors
We&rsquo;re very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, General Catalyst, Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more.
Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square)
About the Role 
Mirage is seeking an ML Engineer to push the boundaries of large language models for multimodal creative tasks. You'll develop new approaches for building and extending agentic systems that understand and operate over complex, real-world data, particularly video.
This role focuses on advancing agent capabilities, improving reasoning and control, and enabling new forms of interaction between language models and time-based media.
Responsibilities<ul><li>
Design and build end-to-end agentic systems for creative tasks</li><li>
Develop novel approaches for training and adapting the large language models that power these agents</li><li>
Design new objectives, datasets, and fine-tuning strategies to improve agent behavior and reliability</li><li>
Explore multimodal reasoning and structured generation for creative control</li><li>
Run systematic experiments to evaluate and improve agent performance in real-world tasks</li><li>
Design evaluation frameworks for agentic workflows in video analysis and editing</li><li>
Analyze failure modes across the full agent loop (planning, tool use, execution) and iterate on improvements</li></ul>
What makes you a great fit<ul><li>
BS/MS/PhD in CS, ML, or related field</li><li>
Strong track record building production ML systems or agentic pipelines</li><li>
Deep understanding of transformers and modern LLM techniques</li><li>
Experience with fine-tuning, alignment, or post-training methods, especially for adapting models to generate structured outputs or drive tool use</li><li>
Comfort owning the full stack, from model-level experiments to deployed agent systems</li><li>
Strong experimental rigor and good taste for what makes agents actually work in practice</li></ul><h3 class="jobSectionHeader">
Benefits:</h3><ul><li>
Comprehensive medical, dental, and vision plans</li><li>
401K with employer match</li><li>
Commuter Benefits</li><li>
Catered lunch multiple days per week</li><li>
Dinner stipend every night if you're working late and want a bite!
</li><li>Grubhub subscription</li><li>
Health &amp; Wellness Perks</li><li>
Multiple team offsites per year with team events every month</li><li>
Generous PTO policy</li></ul>
Captions provides equal employment opportunities to all employees and applicants for employment 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.
Please note benefits apply to full time employees only.
Compensation Range: $175K - $275K</div>

Research Engineer, Agentic Systems

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