software engineer

ai engineer

ai/ml engineer (entry position) Jobs in New York

ai/ml engineer (entry position)

machine learning engineer - fraud risk Jobs in New York

machine learning engineer - fraud risk

senior software engineer - employee engagement & discovery Jobs in New York

senior software engineer - employee engagement & discovery

associate machine learning engineer

PitchBook

<div><div><p>At PitchBook, a Morningstar company, we are always looking forward. We continue to innovate, evolve, and invest in ourselves to bring out the best in everyone. We're deeply collaborative and thrive on the excitement, energy, and fun that reverberates throughout the company.</p>
<p>
Our extensive learning programs and mentorship opportunities help us create a culture of curiosity that pushes us to always find new solutions and better ways of doing things. The combination of a rapidly evolving industry and our high ambitions means there's going to be some ambiguity along the way, but we excel when we challenge ourselves. We're willing to take risks, fail fast, and do it all over again in the pursuit of excellence.
</p><p>If you have a good attitude and are willing to roll up your sleeves to get things done, PitchBook is the place for you.</p></div><p></p>
<p><b>
About the Role:</b></p>
<p>
As a member of the Product and Engineering team at PitchBook, you will be part of a team of big thinkers, innovators, and problem solvers who strive to deepen the positive impact we have on our customers and our company every day. We value curiosity and the drive to find better ways of doing things. We thrive on customer empathy, which remains our focus when creating excellent customer experiences through product innovation.</p>
<p>
We know that greatness is achieved through collaboration and diverse points of view, so we work closely with partners around the globe. As a team, we assume positive intent in each other's words and actions, value constructive discussions, and foster a respectful working environment built on integrity, growth, and business value. We invest heavily in our people, who are eager to learn and constantly improve. Join our team and grow with us!</p>
<p>
PitchBook's Associate Machine Learning Engineer is responsible for using machine learning, statistical modeling, and Natural Language Processing (NLP) to collect a high-volume of data for the PitchBook Platform and surface insights for the capital markets. This role requires curiosity and a strong desire to learn. A strong motivation to succeed is critical and everyone has the opportunity to shape the long-term direction of our team.</p>
<p><b>
Primary Job Responsibilities:</b></p>
<ul>
<li>Use natural language processing (NLP) and machine learning techniques to create novel views of private industry data</li>
<li>Analyze and extract features from large amounts of unstructured data, determine most relevant features, and use clustering algorithms to drive insight into the data</li>
<li>Analyze textual data such as articles and conversations to identify novel signals of private company performance</li>
<li>Work closely with Product and Engineering teams to establish scalable, efficient, and automated processes for large scale data analyses and models</li>
<li>Contribute to thought leadership on Data Science and Machine Learning best practices by staying informed of current trends in industry</li>
<li>Support the vision and values of the company through role modeling and encouraging desired behaviors</li>
<li>Participate in various company initiatives and projects as requested</li>
</ul>
<p><b>Skills and Qualifications:</b></p>
<ul>
<li>Bachelor's degree in Computer Science, Machine Learning, Statistics, or related field</li>
<li>Experience in a similar role in a production environment</li>
<li>Experience or exposure with natural language processing (NLP)</li>
<li>Experience or exposure with Python, R, or other relevant programming frameworks</li>
<li>Experience or exposure in using SQL for data extraction</li>
<li>Strong communication and data presentation skills</li>
<li>Strong problem-solving ability</li>
<li>Ability to communicate complex analysis in a clear, precise, and actionable manner</li>
<li>Experience working closely a with software development team(s) a plus, but not required</li>
<li>Financial services, investment, banking, venture capital and/or private equity knowledge, but not required</li>
<li>Must be authorized to work in the United States without the need for visa sponsorship now or in the future</li>
</ul>
<p><b>Benefits + Compensation at PitchBook:</b></p>
<p>
Physical Health</p>
<ul>
<li>Comprehensive health benefits</li>
<li>Additional medical wellness incentives</li>
<li>STD, LTD, AD&amp;D, and life insurance</li>
</ul>
<p>Emotional Health</p>
<ul>
<li>Paid sabbatical program after four years</li>
<li>Paid family and paternity leave</li>
<li>Annual educational stipend</li>
<li>Ability to apply for tuition reimbursement</li>
<li>CFA exam stipend</li>
<li>Robust training programs on industry and soft skills</li>
<li>Employee assistance program</li>
<li>Generous allotment of vacation days, sick days, and volunteer days</li>
</ul>
<p>Social Health</p>
<ul>
<li>Matching gifts program</li>
<li>Employee resource groups</li>
<li>Subsidized emergency childcare</li>
<li>Dependent Care FSA</li>
<li>Company-wide events</li>
<li>Employee referral bonus program</li>
<li>Quarterly team building events</li>
</ul>
<p>Financial Health</p>
<ul>
<li>401k match</li>
<li>Shared ownership employee stock program</li>
<li>Monthly transportation stipend</li>
</ul>
<ul><li><i>Please be aware the above PitchBook benefit and perk offerings are subject to corresponding plan and policy documents and may change during the course of your employment.</i></li></ul>
<p>
Compensation</p>
<ul>
<li>Annual base salary: $110,000-$150,000</li>
<li>Target annual bonus percentage: 7.5%</li>
</ul>
<p><b>Working Conditions:</b></p>
<p>
At the heart of our company is a belief in the power of in-person collaboration. Being together in the office fuels our creativity, strengthens our connections, and drives the innovation that sets us apart. Our culture is built on spontaneous moments&mdash;those hallway conversations, whiteboard brainstorms, and shared celebrations in each of our global offices&mdash;that simply can't be replicated remotely. This role is expected to be in the office 5 days a week.</p>
<p>
The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on-going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events.</p>
<p>
We are excited to get to know you and your background. Concerned that you might not meet every requirement? We encourage you to still apply as you might be the right candidate for the role or other roles at PitchBook.</p>
<p>
#LI-MS1</p>
<p>
#LI-Onsite</p></div><p></p>

Associate Machine Learning Engineer

Pragmatike

<div>
 <strong>
  Location:
 </strong>
 Cambridge, MA (Eastern Time / UTC -4) ﻿
 <strong>
  Relocation package available
  <br/>
  <br/>
 </strong>
 <strong>
  Relocation package:
 </strong>
 Available
 <br/>
 <br/>
 <strong>
  Start date:
 </strong>
 ASAP
 <br/>
 <br/>
 <strong>
  Languages:
 </strong>
 English (required)
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 Pragmatike is hiring on behalf of a fast-growing AI startup recognized as a
 <strong>
  Top 10 GenAI company by GTM Capital
 </strong>
 , founded by
 <strong>
  MIT CSAIL researchers
 </strong>
 .
 <br/>
 <br/>
 We are looking for an
 <strong>
  AI/ML Engineer (Entry Position)
 </strong>
 to join a growing AI engineering team building and deploying real-world AI systems used by
 <strong>
  Fortune 500 customers
 </strong>
 . You will work closely with senior AI, ML, and platform engineers on the development, optimization, and deployment of machine learning models in production environments.
 <br/>
 <br/>
 This role is intended for engineers with
 <strong>
  early professional experience
 </strong>
 who already have hands-on exposure to applied machine learning and want to grow quickly by working on real, production-scale AI systems.
 <br/>
 <br/>
 <strong>
  What Youll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Build, train, and evaluate machine learning models in collaboration with senior engineers
  </li>
  <li>
   Contribute to deploying ML models into production systems
  </li>
  <li>
   Work with structured and unstructured datasets to support training and inference pipelines
  </li>
  <li>
   Improve model performance, reliability, and scalability through experimentation
  </li>
  <li>
   Implement and maintain ML code primarily in Python
  </li>
  <li>
   Monitor model behavior and assist in debugging production issues
  </li>
  <li>
   Participate in model iteration, validation, and performance analysis
  </li>
  <li>
   Collaborate with backend and platform teams to integrate AI components into products
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What Were Looking For
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelors or Masters degree in Computer Science, Engineering, Mathematics, or a related field
  </li>
  <li>
   2+ years of professional experience working on AI, ML, or data-driven systems (industry, research, or applied internships)
  </li>
  <li>
   Excellent academic background, including strong grades and demonstrated university-level achievements
  </li>
  <li>
   Evidence of academic or professional excellence, such as scholarships, honors, awards, competitive programs, or impactful projects
  </li>
  <li>
   Solid understanding of machine learning fundamentals (supervised/unsupervised learning, evaluation metrics)
  </li>
  <li>
   Hands-on experience with ML libraries such as PyTorch, TensorFlow, or scikit-learn (required)
  </li>
  <li>
   Strong proficiency in Python
  </li>
  <li>
   Strong problem-solving skills and the ability to work independently
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Bonus Points
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with deep learning, LLMs, or modern AI architectures
  </li>
  <li>
   Experience working with real-world, noisy datasets in production
  </li>
  <li>
   Familiarity with cloud platforms (AWS, GCP, or Azure)
  </li>
  <li>
   Exposure to MLOps tools, model deployment, or monitoring
  </li>
  <li>
   Publications, research experience, or participation in AI/ML competitions
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Why This Role Will Pivot Your Career
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Learn from MIT CSAIL&ndash;founded leadership and experienced AI engineers
  </li>
  <li>
   Work on AI systems deployed to Fortune 500 customers
  </li>
  <li>
   Apply strong academic and early professional experience to high-impact AI problems
  </li>
  <li>
   Clear growth path toward mid-level and senior AI engineering roles
  </li>
  <li>
   Join a well-funded, fast-growing AI startup with strong technical ambition
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Competitive salary &amp; equity options
  </li>
  <li>
   Sign-on bonus
  </li>
  <li>
   Health, Dental, and Vision
  </li>
  <li>
   401(k)
   <br/>
   <br/>
  </li>
 </ul>
 ﻿
 <br/>
 <br/>
 <em>
  <strong>
   Pragmatike
  </strong>
  is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on 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. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.
  <br/>
  <br/>
 </em>
</div>


AI/ML Engineer (Entry Position)

Millennium Management

<div><div><div><p>Job Description</p></div></div><div><div><div><div>
AI Engineer<p></p><p>
We are working on different areas where AI/ML can help portfolio managers, researchers, risk managers, and other functions. Some examples are: enabling traders/researchers to consume vast amounts of research and literature by organizing, summarizing information, sometimes in near real-time; doing quantitative modeling to price instruments, modeling demand and supply of commodities and other fundamentals; modeling weather, optimizing algorithmic execution of trades; modeling and building simulations of risk.</p><p></p><p>
The AI/ML work spans usage of LLMs, deep learning, reinforcement learning and other ML techniques. The work also requires building AI/ML infrastructure for data wrangling, building feature stores, building frameworks for deployments, measurements, re-training, etc.</p><p></p><p>
We are seeking a AI/ML SWE who has experience with LLMs, deep learning, reinforcement learning as well as an interest and ability to keep up with advancements in AI/ML. The candidate should also be strong in software engineering and be comfortable with AI/ML experimentation and productionization.</p><p></p><p><b>
Key Responsibilities</b></p><ul><li>
Engage and collaborate with business stakeholders, quants, and other market researchers to deeply understand the problem space.</li><li>
Experiment, iterate, productionize AI/ML solutions.</li><li>
Build supporting data and AI/ML infrastructure and tools.</li></ul><p></p><p><b>
Required Skills and Qualifications</b></p><ul><li>
Bachelor&rsquo;s degree in Computer Science or a related field</li><li>
5+ years of professional experience with python</li><li>
Strong knowledge of the latest advancements in AI and machine learning.</li><li>
Strong fundamentals in computer science.</li><li>
Proficiency in Python and at least 1 other language such as Java, C++, C#, etc.</li><li>
Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud).</li><li>
Experience with using LLMs and with techniques such as prompt engineering, PEFT, fine-tuning, etc.</li><li>
Ability to build and evaluate AI models and tools using quantifiable metrics.</li><li>
Excellent problem-solving skills and ability to work independently as well as part of a team.</li><li>
Strong communication skills to effectively collaborate with developers and other stakeholders.</li><li>
Adaptable and willing to work in a start-up-like environment within a major institution.</li></ul><p></p><p><b>
Preferred Qualifications</b></p><ul><li>
Advanced degree in Computer Science, AI, Machine Learning, or a related field.</li><li>
Experience in developing AI solutions for financial institutions.</li><li>
Knowledge of additional programming languages and frameworks.</li></ul><p></p><div><div><div><div><div><div><p>
The estimated base salary range for this position is $175,000 to $250,000, which is specific to New York and may change in the future. Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package. When finalizing an offer, we take into consideration an individual&rsquo;s experience level and the qualifications they bring to the role to formulate a competitive total compensation package.</p></div></div></div></div></div></div></div></div></div></div></div>

AI Engineer

Unify

<div><h2 class="jobSectionHeader"><b>About Unify</b></h2><p>
Unify was founded in 2023 by Austin Hughes and Connor Heggie. Prior to Unify, Austin led <b>Ramp&rsquo;s</b> growth product team focused on new customer acquisition, and Connor was a machine learning research engineer at <b>Scale AI</b>. The rest of our team comes from companies like <b>Airbnb</b>, <b>Spotify and</b> <b>Retool</b>.</p><p>
Our mission is to build the first system-of-action for go-to-market teams, starting with an end to end platform powering warm outbound. Today, outbound sales is dominated by cold, mass outreach that floods people's inboxes and converts to deals at a tiny rate. We&rsquo;re building a platform to power warm outbound, allowing go-to-market teams to get in touch with the right people at the exact time they&rsquo;re looking for a solution.</p><p>
We scaled ARR 5x in 2025, and are already serving customers like Cursor, Perplexity, Together.AI, Justworks, Flock Safety, and more. We&rsquo;re a high energy, high intensity team and we&rsquo;ve raised $58M from Thrive, Emergence, OpenAI, Battery and others. Come join us in changing how go-to-market works.</p><p></p><h2 class="jobSectionHeader"><b>
About the Role</b></h2><p>
Unify is building the system of action for go-to-market teams, and we believe growth should be engineered. We&rsquo;re looking for a <b>Head of Growth</b> to architect and scale the growth engine that powers Unify&rsquo;s next phase of growth.</p><p>
This is a role reporting directly to our CEO Austin Hughes with full ownership of pipeline generation and self-serve revenue. Austin previously was a growth leader at Ramp. You&rsquo;ll run growth like a product team - roadmaps, experiments, velocity, and metrics - not a collection of one-off tactics. You&rsquo;ll scale our existing channels 10x, and incubate new ones.</p><p>
Your mandate is ambitious and clear: create overwhelming demand for Unify, scale pipeline 4x+ over the next year, and build a durable growth machine that compounds.</p><p></p><h2 class="jobSectionHeader"><b>
What You&rsquo;ll Do</b></h2><ul><li><p><b>
Own growth outcomes end-to-end</b></p><p>
Own pipeline generation and self-serve revenue goals, and be accountable for results at the exec and board level.</p></li><li><p><b>
Run growth like a product team</b></p><p>
Establish an experimentation-driven culture with clear hypotheses, fast iteration cycles, and rigorous measurement.</p></li><li><p><b>
Scale and incubate new channels</b></p><p>
Build, scale, and optimize growth across automated outbound, inbound, PLG, paid, AEO/SEO, and incubate new channels.</p></li><li><p><b>
Be a power user of Unify and a partner to our product team</b></p><p>
Dogfood Unify daily and act as a critical voice in improving onboarding, activation, conversion, and self-serve monetization. Partner deeply with Product to turn insights into shipped improvements.</p></li><li><p><b>
Drive demand for our new self-serve offering</b></p><p>
Own the strategy and execution to make self-serve revenue 20%+ of net new cohorts, while staying tightly aligned with sales to avoid cannibalization.</p></li><li><p><b>
Build and lead the growth org</b></p><p>
Hire, develop, and retain a world-class growth team. Set clear ownership, high standards, and a culture of accountability and learning.</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
What You&rsquo;ll Need</b></h2><ul><li><p><b>
5&ndash;10 years of experience</b> in growth, marketing, or PLG roles at high-growth technology companies.</p></li><li><p><b>
Deep expertise in 2+ growth channels or surface areas</b> (e.g. outbound, PLG, paid, SEO, lifecycle, partnerships), with the ability to delve into new channels.</p></li><li><p>
Proven track record of <b>building a winning growth team over multiple years</b>.</p></li><li><p>
Strong experience running an <b>experiment-driven growth team</b> and running growth more like a product team than a traditional marketing team.</p></li><li><p>
Demonstrated ability to <b>hire and lead high-performing, high-velocity teams</b> and develop strong functional leaders.</p></li><li><p>
Systems-oriented, execution-biased, and comfortable making high-conviction decisions with imperfect data.</p></li><li><p>
Fluency with modern growth, analytics, and GTM tooling (e.g. Unify). Dashboarding and data analysis should be core competencies.</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
Additional Information</b></h2><p>
The annual salary range for this role is $220,000-$275,000, with a target equity package and comprehensive benefits, including medical, dental, vision, and 401(k) options. This position is onsite in either San Francisco, CA, or New York City, NY, offering the invaluable opportunity to work closely with a talented team in a dynamic, high-energy environment. Being in-person enables real-time collaboration, fosters creative problem-solving, and strengthens the connections that drive innovation and impact. You'll be at the center of our fast-paced operations, contributing to a culture that values engagement, growth, and teamwork.</p></div>

Head of Growth

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
The Sponsored Products and Brands (SPB) team at Amazon Ads is transforming advertising through generative AI technologies. We help millions of customers discover products and engage with brands across Amazon.com and beyond. Our team combines human creativity with artificial intelligence to reinvent the entire advertising lifecycle&mdash;from ad creation and optimization to performance analysis and customer insights.<br>
<br>
We develop responsible AI technologies that balance advertiser needs, enhance shopping experiences, and strengthen the marketplace. Our team values innovation and tackles complex challenges that push the boundaries of what's possible with AI.<br>
<br>
Join us in shaping the future of advertising.<br>
<br>
Key job responsibilities<br>
This role will redesign how ads create personalized, relevant shopping experiences with customer value at the forefront. Key responsibilities include:<br>
<br>
<ul><li>Design and develop solutions using GenAI, deep learning, multi-objective optimization and/or reinforcement learning to transform ad retrieval, auctions, whole-page relevance, and shopping experiences.</li><li>Partner with scientists, engineers, and product managers to build scalable, production-ready science solutions.</li><li>Apply industry advances in GenAI, Large Language Models (LLMs), and related fields to create innovative prototypes and concepts.</li><li>Improve the team's scientific and technical capabilities by implementing algorithms, methodologies, and infrastructure that enable rapid experimentation and scaling.</li><li>Mentor junior scientists and engineers to build a high-performing, collaborative team.</li></ul><br>
A day in the life<br>
As an Applied Scientist on the Sponsored Products and Brands Off-Search team, you will contribute to the development in Generative AI (GenAI) and Large Language Models (LLMs) to revolutionize our advertising flow, backend optimization, and frontend shopping experiences. This is a rare opportunity to redefine how ads are retrieved, allocated, and/or experienced&mdash;elevating them into personalized, contextually aware, and inspiring components of the customer journey. You will have the opportunity to fundamentally transform areas such as ad retrieval, ad allocation, whole-page relevance, and differentiated recommendations through the lens of GenAI. By building novel generative models grounded in both Amazon&rsquo;s rich data and the world&rsquo;s collective knowledge, your work will shape how customers engage with ads, discover products, and make purchasing decisions. If you are passionate about applying frontier AI to real-world problems with massive scale and impact, this is your opportunity to define the next chapter of advertising science.<br>
<br>
About the team<br>
The Off-Search team within Sponsored Products and Brands (SPB) is focused on building delightful ad experiences across various surfaces beyond Search on Amazon&mdash;such as product detail pages, the homepage, and store-in-store pages&mdash;to drive monetization. Our vision is to deliver highly personalized, context-aware advertising that adapts to individual shopper preferences, scales across diverse page types, remains relevant to seasonal and event-driven moments, and integrates seamlessly with organic recommendations such as new arrivals, basket-building content, and fast-delivery options. To execute this vision, we work in close partnership with Amazon Stores stakeholders to lead the expansion and growth of advertising across Amazon-owned and -operated pages beyond Search. We operate full stack&mdash;from backend ads-retail edge services, ads retrieval, and ad auctions to shopper-facing experiences&mdash;all designed to deliver meaningful value.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of building machine learning models for business application experience</li><li>PhD, or Master's degree and 6+ years of applied research experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Strong foundation in GenAI, large language models, machine learning, deep learning, probabilistic modeling, and/or optimization.</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Demonstrated expertise in Generative AI technologies, including foundation models, LLMs, and model customization for specific business applications</li><li>Hands-on experience building ads ranking, retrieval, recommendation, or personalization systems that operate at web scale</li><li>Technical proficiency in advanced AI approaches such as multi-modal modeling, few-shot learning, retrieval-augmented generation (RAG), or reinforcement learning from human feedback (RLHF)</li><li>Track record of designing and implementing online experimentation frameworks, including A/B testing methodologies and performance metrics for advertising or e-commerce</li><li>Proven ability to translate complex technical concepts into clear explanations for diverse audiences, from engineers to executives</li><li>Deep knowledge of computational advertising fundamentals, including auction mechanisms, advertising economics, and advertiser success metrics</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Senior Applied Scientist, Sponsored Products and Brands, Off-Search

Mirage

<div>
 Mirage is the leading AI short-form video company. We&rsquo;re building full-stack foundation models and products that redefine video creation, production and editing. Over 20 million creators and businesses use Mirage&rsquo;s products to reach their full creative and commercial potential.
 <br/>
 <br/>
 We are a rapidly growing team of ambitious, experienced, and devoted engineers, researchers, designers, marketers, and operators based in NYC. As an early member of our team, you&rsquo;ll have an opportunity to have an outsized impact on our products and our company's culture.
 <br/>
 <br/>
 <strong>
  Our Products
  <br/>
  <br/>
 </strong>
 Captions
 <br/>
 <br/>
 Mirage Studio
 <br/>
 <br/>
 <strong>
  Our Technology
  <br/>
  <br/>
 </strong>
 AI Research @ Mirage
 <br/>
 <br/>
 Mirage Model Announcement
 <br/>
 <br/>
 Seeing Voices (white-paper)
 <br/>
 <br/>
 <strong>
  Press Coverage
  <br/>
  <br/>
 </strong>
 TechCrunch
 <br/>
 <br/>
 Lenny&rsquo;s Podcast
 <br/>
 <br/>
 Forbes AI 50
 <br/>
 <br/>
 Fast Company
 <br/>
 <br/>
 <strong>
  Our Investors
  <br/>
  <br/>
 </strong>
 We&rsquo;re very fortunate to have some the best investors and entrepreneurs backing us, including
 <strong>
  Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz
 </strong>
 , Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more.
 <br/>
 <br/>
 <ul>
  <li>
   Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square)
   <br/>
   <br/>
  </li>
 </ul>
 <em>
  <strong>
   We do not work with third-party recruiting agencies, please do not contact us**
   <br/>
   <br/>
  </strong>
 </em>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 Backend engineering at Mirage isn&rsquo;t narrowly defined. We work across product, platform, and machine learning&mdash;building the systems, services, APIs, and ML pipelines that power all of our product surfaces.
 <br/>
 <br/>
 You&rsquo;ll own critical backend systems end-to-end, partnering closely with product, design, client, and AI teams to turn ambitious ideas into reliable, scalable production systems. This opportunity is ideal for engineers who enjoy solving complex technical problems while staying connected to product and user outcomes.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, build, and own backend systems end-to-end, including services, APIs, data pipelines, and infrastructure that power our products
  </li>
  <li>
   Solve complex technical challenges across distributed systems, scaling, concurrency, and performance
  </li>
  <li>
   Integrate and operate large generative AI models in production&mdash;deploying, serving, and scaling systems that combine internal research and external capabilities to unlock new product experiences.
  </li>
  <li>
   Instrument, experiment, and iterate in production to continuously improve system and product quality
  </li>
  <li>
   Design and operate core platform infrastructure, including integrations with third-party providers, storage systems, security, and internal APIs
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What Makes You a Great Fit
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   5+ years of professional industry experience
  </li>
  <li>
   A track record of shipping high‑impact systems and/or products in production
  </li>
  <li>
   Exceptional problem solving fundamentals and ability to learn
  </li>
  <li>
   Excellent engineering taste combined with a strong sense of practicality and time-management
  </li>
  <li>
   Able to operate effectively in an extremely fast-paced environment as well as scope and deliver projects end-to-end
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Even better if...
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You have worked extensively with LLMs, generative media models, and have a pulse on where the technology is going
  </li>
  <li>
   You are grounded, collaborative, and willing to do whatever it takes to help the team win
  </li>
  <li>
   You have been a startup founder or an early engineer at one
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits:
  <br/>
  <br/>
 </strong>
 <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 (Talkspace, Kindbody, One Medical subscription, HealthAdvocate, Teladoc)
  </li>
  <li>
   Multiple team offsites per year with team events every month
  </li>
  <li>
   Generous PTO policy
   <br/>
   <br/>
  </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.
 <br/>
 <br/>
 <em>
  Please note benefits apply to full time employees only.
  <br/>
  <br/>
 </em>
 Compensation Range: $185K - $285K
 <br/>
 <br/>
</div>


Software Engineer, Backend

Intuit

<div><p>Category Security, Risk &amp; Fraud</p>
<p>Location New York, New York; New York, New York
</p><p>Job ID 18884</p></div>
<br><div><div><p>Company Overview</p>
<div><p>Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.</p>
</div></div><div><p>Job Overview</p>
<p>Now, we are expanding our focus to Consumer Lending and banking within the Consumer Group. We are seeking a brilliant and passionate Staff Analyst for Fraud Policy to be a key player in safeguarding our ecosystem and building unwavering trust with our customers focusing on consumer banking products. This isn't just a job; it's an opportunity to be at the forefront of the fight against fraud in the dynamic world of fintech.</p><p><br>
You&rsquo;ll work closely with fraud strategy, data science, engineering, and customer support teams to ensure we deliver a secure and seamless experience for our customers while minimizing fraud losses and maintaining compliance with applicable regulations.</p><p><b><br>
Responsibilities</b></p><div><b>
Fraud Detection &amp; Investigation</b><br>
<ul><li>
 Monitor alerts and analyze real-time signals to detect suspicious activity (e.g., account takeover, check kiting, synthetic identity, mule activity, ACH fraud, remote access tools).</li></ul></div><div><ul><li>
 Investigate and resolve fraud cases across onboarding, KYC, account funding (e.g., ACH, Plaid, RTP), and account usage stages.</li></ul></div><div><ul><li>
 Leverage fraud tools and external vendor data to review high-risk activity and recommend actions.<br>
<b>Data-Driven Analysis</b><br>
</li><li>
 Analyze fraud trends and patterns using data analytics tools (SQL, Excel, dashboards) to identify emerging threats or gaps in current detection logic.</li></ul></div><div><ul><li>
 Support creation and tuning of fraud detection rules, machine learning models, and velocity checks in collaboration with fraud strategy and data teams.</li></ul></div><div><ul><li>
 Track key fraud KPIs (e.g., fraud loss rates, false positive rates, return reasons like R05/R10) and prepare reports for stakeholders.<br>
<b>Operational Efficiency &amp; Documentation</b><br>
</li><li>
 Respond to fraud-related escalations from customer support and other internal teams.</li></ul></div><div><ul><li>
 Assist in refining workflows and automations to improve response time and operational throughput.</li></ul></div><div><ul><li>
 Document fraud scenarios, case investigations, root cause analysis, and preventive actions.</li></ul></div><div><b>
Cross-Functional Collaboration</b><br>
<ul><li>
 Work closely with compliance, risk policy, customer support, engineering, and external vendors.</li></ul></div><div><ul><li>
 Participate in projects related to new product launches, fraud tooling enhancements, and regulatory reviews (e.g., SAR filings support).</li></ul></div><div><ul><li>
 Provide fraud subject matter expertise in discussions related to account security, identity verification, and payment flows.</li></ul></div><p>
Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.</p><p><b><br>
Qualifications</b></p><div><ul><li>
 5&ndash;7 years of experience in fraud operations or fraud analytics, preferably in fintech, banking<br>
</li><li>
 Strong understanding of fraud typologies relevant to consumer financial products (e.g., synthetic identity, phishing/ATO, 1st/3rd party fraud, ACH disputes).<br>
</li><li>
 Experience with fraud tools and platforms (e.g., Alloy, Sift, Ekata, Kount, etc.)<br>
</li><li>
 Proficiency in analyzing fraud data using SQL and/or Excel; familiarity with Looker or other BI tools is a plus.<br>
</li><li>
 Familiarity with banking regulations and fraud return codes (e.g., ACH NACHA rules, Reg E, KYC/AML basics).<br>
</li><li>
 Strong analytical, investigative, and problem-solving skills.<br>
</li><li>
 Excellent communication and documentation skills.</li></ul></div><div><b>
Nice to Have</b><br>
<ul><li>
 Experience in fraud for digital banking, challenger banks, or fintech products.<br>
</li><li>
 Exposure to fraud rules management or machine learning-based detection systems.<br>
</li><li>
 Prior work with ACH return reason codes, dispute handling, or chargeback processes.</li></ul></div><p><br>
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit&reg;: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: New York, City, NY $168,500 - $228,000</p></div></div><p></p>

Staff Fraud and Risk Analyst

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