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

ai/ml engineer (entry position)

project engineer - mep

ai ml engineer entry position

Pragmatike

<div>
 
 Location:
 
 Cambridge, MA (Eastern Time / UTC -4) ﻿
 
 Relocation package available
 
 
 
 
 Relocation package:
 
 Available
 
 
 
 Start date:
 
 ASAP
 
 
 
 Languages:
 
 English (required)
 
 
 
 About The Role
 
 
 
 Pragmatike is hiring on behalf of a fast-growing AI startup recognized as a
 
 Top 10 GenAI company by GTM Capital
 
 , founded by
 
 MIT CSAIL researchers
 
 .
 
 
 We are looking for an
 
 AI/ML Engineer (Entry Position)
 
 to join a growing AI engineering team building and deploying real-world AI systems used by
 
 Fortune 500 customers
 
 . You will work closely with senior AI, ML, and platform engineers on the development, optimization, and deployment of machine learning models in production environments.
 
 
 This role is intended for engineers with
 
 early professional experience
 
 who already have hands-on exposure to applied machine learning and want to grow quickly by working on real, production-scale AI systems.
 
 
 
 What Youll Do
 
 
 
 <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
 
 
 </li>
 </ul>
 
 What Were Looking For
 
 
 
 <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
 
 
 </li>
 </ul>
 
 Bonus Points
 
 
 
 <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
 
 
 </li>
 </ul>
 
 Why This Role Will Pivot Your Career
 
 
 
 <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
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Competitive salary &amp; equity options
 </li>
 <li>
 Sign-on bonus
 </li>
 <li>
 Health, Dental, and Vision
 </li>
 <li>
 401(k)
 
 
 </li>
 </ul>
 ﻿
 
 
 
 
 Pragmatike
 
 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.
 
 
 
</div>

AI/ML Engineer (Entry Position)

Millennium Management

<div><div><div>Job Description</div></div><div><div><div><div>
AI Engineer
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.
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.
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.
Key Responsibilities<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>
Required Skills and Qualifications<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>
Preferred Qualifications<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><div><div><div><div><div><div>
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.</div></div></div></div></div></div></div></div></div></div></div>

AI Engineer

Cohere

<div>
 
 Who are we?
 
 
 
 Our mission is to scale intelligence to serve humanity. We&rsquo;re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.
 
 
 We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what&rsquo;s best for our customers.
 
 
 Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.
 
 
 Join us on our mission and shape the future!
 
 
 
 Why this role?
 
 
 
 As an Evaluation Frontend Software Engineer, you will play a key role in helping us make modelling decisions based on experimental outcomes for our large language models (LLMs). Your primary focus will be on building tools to enable easy visualization and analysis of model evaluations which are stored in a central database. You will work closely with cross-functional teams, including researchers and engineers, to surface the insights that are necessary for the future development of our models.
 
 
 This role combines expertise in statistics, data science, frontend development and data visualization. If any of these topics sound interesting to you, we encourage you to apply.
 
 
 
 Please Note: We have offices in London, Paris, Toronto, San Francisco, and New York, but we also embrace being remote-friendly! There are no restrictions on where you can be located for this role.
 
 
 
 
 As a Evaluation Frontend Software Engineer You Will
 
 
 
 <ul>
 <li>
 Design tools and visualizations that enable researchers and engineers to compare and analyse hundreds of model evaluations. This includes both data visualization tools, as well as statistical tools to extract signal from the noisy signals we get.
 </li>
 <li>
 Develop an understanding of the relative merits and limitations of each of our model evaluations, as well as suggest new facets of model evaluation.
 
 
 </li>
 </ul>
 
 You May Be a Good Fit If You Have
 
 
 
 <ul>
 <li>
 Extremely strong software engineering skills.
 </li>
 <li>
 Strong statistical skills and experience evaluating scientific experiments related to data collection and model performance.
 </li>
 <li>
 Prior experience building front-end visualization systems and dashboards.
 </li>
 <li>
 Familiarity with ML systems evaluations.
 </li>
 <li>
 Proficiency in programming languages such as Python and ML frameworks (e.g., PyTorch, TensorFlow, JAX).
 </li>
 <li>
 Excellent communication skills to collaborate effectively with cross-functional teams and present findings.
 </li>
 <li>
 One or more papers at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP).
 
 
 </li>
 </ul>
 If some of the above doesn&rsquo;t line up perfectly with your experience, we still encourage you to apply!
 
 
 We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.
 
 
 
 Full-Time Employees At Cohere Enjoy These Perks
 
 
 
 🤝 An open and inclusive culture and work environment
 
 
 🧑&zwj;💻 Work closely with a team on the cutting edge of AI research
 
 
 🍽 Weekly lunch stipend, in-office lunches &amp; snacks
 
 
 🦷 Full health and dental benefits, including a separate budget to take care of your mental health
 
 
 🐣 100% Parental Leave top-up for up to 6 months
 
 
 🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
 
 
 🏙 Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend
 
 
 ✈️ 6 weeks of vacation (30 working days!)
</div>

Software Engineer, Evaluation Frontend

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
We are seeking an experienced Senior Product Manager-Technical who will drive the future of AI-powered creative generation that enables advertisers to produce professional-quality image, video and audio at speeds never before thought possible. You'll be responsible for leading product strategy and execution for breakthrough generative AI solutions that transform how advertisers create their creative assets.
 
 
The right candidate will have a strong track record of working with both user experience and science teams, and a deep curiosity about the rapidly evolving generative AI landscape. You'll collaborate closely with machine learning engineers, applied scientists, software engineers, and UX designers to build products that fundamentally change the creative development process for advertisers of all sizes. 
 
Key job responsibilities 
You will: 
<ul><li>Think big to define and drive end-to-end product strategy from conception through launch, working backwards from advertiser needs to build roadmaps and user experiences for image, video, and audio creation capabilities for TV, podcasts, Amazon.com and publisher sites.
</li><li>Dive Deep with applied scientists, ML engineers, and software engineers to translate the latest generative AI research into evidence-based, practical advertiser solutions.</li><li>Collect or create content benchmarks, define success criteria, and execute scientific evaluations in partnership with the organization.</li><li>Learn and be Curious to stay current on generative AI trends, research developments, and industry innovations to identify new opportunities and maintain a competitive advantage.</li><li>Write strategic documents including PRFAQs, vision documents, and technical requirements that align leadership and engineering teams on ambitious product goals</li><li>Collaborate cross-functionally with engineering, design, science, creatives, production teams, go-to-market specialists, and external partners to influence priorities and ensure seamless product execution and adoption.</li><li>Monitor and optimize product performance through data analysis, user feedback, and competitive intelligence to continuously improve AI model outputs and user experience</li></ul> 
About the team 
Amazon Advertising is one of Amazon's fastest growing and most profitable businesses. The Creative Experience team within Ads is leveraging AI to incubate a creative future where any advertiser&mdash;from emerging brands to global enterprises&mdash;can produce agency-quality video, image, and audio ad content in minutes instead of months. We are first-movers in the industry, democratizing creative access by launching generative AI solutions that act as a full-service creative agency in your pocket. We're investing heavily in the most advanced AI technologies, including latent-diffusion models for stunning visual generation, large language models for creative strategy and copywriting, agentic systems that orchestrate complex tasks, computer vision for product understanding, and multimodal synthesis for seamless audio-visual experiences. Every solution we build moves us closer to a state where creative quality is limited only by imagination, not budget or resources.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>Bachelor's degree</li><li>3+ years of end to end product delivery experience</li><li>Experience integrating UX research into customer experience, team culture, development process, and design principles</li><li>Experience managing and deploying ML products</li><li>Experience leading engineering discussions around technology decisions and strategy related to a product</li><li>Experience working with data and leveraging analytics to make decisions</li><li>Demonstrated high curiosity for and awareness of the latest generative AI tools and industry trends</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience in building and driving adoption of new tools</li><li>Experience in advertising, marketing technologies, or working with creative teams</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
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. 
 
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,100/year in our lowest geographic market up to $235,200/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 Product Manager-Technical - AI Creative Generation, Ads CreativeX

Citi

<div><h2 class="jobSectionHeader">Discover your future at Citi</h2>
Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you&rsquo;ll have the opportunity to grow your career, give back to your community and make a real impact.
<h2 class="jobSectionHeader">Job Overview</h2>
The AI Assurance Tooling &amp; Execution team are responsible for shaping how Internal Audit leverages AI/GenAI to enhance assurance delivery by developing, prototyping, and integrating AI/GenAI tools into execution. The primary focus involves working with assurance delivery teams to identify, implement, and drive the adoption of specific AI-enabled assurance tests, thereby strengthening and driving efficiency in audit delivery. Scalable implementations will necessitate extensive collaboration with the Strategy, Innovation and Professional Practices (SIPP) team.
The Vice President is within the AI Business Enablement team, reporting to the Audit Director &ndash; AI Business Enablement. The individual will be responsible for working collaboratively with Business and Function audits teams in identifying and driving the prioritization and implementation of both tactical and strategic uses cases to strengthen and drive efficiency in our assurance practices.
This role will primarily focus in assisting the execution and operationalization of our GenAI assurance tooling strategy, including identifying and defining use cases, evaluating tools and engaging with other Lines of Defense to determine synergistic opportunities.
Citi IA is a dynamic global function of over 2,500 professionals located across more than 60 countries, covering Citi's global businesses and service to clients and customers through its network in 98 countries. Through a culture of continuous improvement, Citi IA is focused on maintaining its position as a best-in-class IA function and is committed to investing in people, learning and development, innovation, and methodology programs. The Internal Audit mission is to provide independent, objective, reliable, valued and timely assurance to the Board, senior management and regulators of Citigroup and Citibank (and its subsidiaries), over the effectiveness of culture, ethical conduct, governance, risk management, and controls that mitigate current and evolving risks and to enhance the control environment. IA is a change agent within Citi to enhance the control culture of Citigroup worldwide and therefore support senior management decision making around the globe.
Citi operates in over 100 countries and provides consumers, corporations, governments, and institutions with a broad range of financial services and products. Citi strives to create the best outcomes for clients and customers with financial ingenuity that leads to solutions that are simple, creative, and responsive.
Responsibilities:<ul><li>
Actively execute and operationalize assigned components of IA&rsquo;s GenAI tooling strategy, including overseeing tool evaluation, selection, and integration activities for IA assurance.</li><li>
Conduct detailed assessment and analysis to inform evidence-based build versus buy decisions on high-impact AI/Gen AI solutions for AI assurance tests.</li><li>
Implement and embed AI/GenAI solutions within IA Business/Function teams, ensuring integration, user adoption, and demonstrable value.</li><li>
Contribute to the preparation of AI/GenAI programs and projects, providing technical and operational insights, feasibility assessments, and provide detailed project planning input.</li><li>
Partner with a network of IA Business/Function teams to embed adoption of AI/GenAI solutions across IA.</li><li>
Provide analytical contribution to the strategic optimization of resource allocation and operational capacity for AI/GenAI initiatives, ensuring efficient use of talent and technology.</li><li>
Partners with AI Technical Enablement team to deliver solutions on time, within scope, and to required quality standards.</li><li>
Support the risk assessment when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behaviour, conduct and business practices, and escalating, managing and reporting control issues with transparency.</li></ul>
Qualification:<ul><li>
Previous experience in a related role.</li><li>
Experience of technology enabled changes and user engagement.</li><li>
Knowledge of GenAI/AI and machine learning concepts, algorithms and techniques, and AI/ GenAI lifecycle.</li><li>
Knowledge of IT governance and control frameworks (e.g. COBIT, NIST, Cybersecurity Framework).</li><li>
Understanding of leading cloud-based AI/ML platforms and their associated governance, security, and deployment best practices.
</li><li>Understanding of security vulnerabilities and risks specific to AI/ML systems, including adversarial attacks and data privacy considerations. Familiarity with data governance principles, data quality management and data security practices.</li><li>
Related certifications such as Certified Information Systems (CISA), Certified Internal Auditor (CIA), Certified in Risk and Information Systems (CRISC) or similar. AI-related certifications are a plus.</li><li>
Demonstrated successful experience in business, functional and people management.</li><li>
Proven ability to execute concurrently on a portfolio of high quality deliverables according to strict timetables.</li><li>
Demonstrated ability to implement continuous improvement and innovation in audit tools and techniques.</li><li>
Consistently demonstrates clear and concise written and verbal communication.</li><li>
Demonstrated ability to remain unbiased in a diverse working environment.</li><li>
Effective negotiation skills.</li></ul>
Education<ul><li>
Bachelor&rsquo;s degree/University degree in decision science, computer science, data science, finance, accounting or a related field, or equivalent experience.</li><li>
Master&rsquo;s degree preferred.</li></ul> 
#NAMInternalAudit
-
Job Family Group:
Internal Audit
-
Job Family:
Audit
-
Time Type:
Full time
-
Primary Location:
New York New York United States
-
Primary Location Full Time Salary Range:
$129,840.00 - $194,760.00 
In addition to salary, Citi&rsquo;s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental &amp; vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
-
Most Relevant Skills
Control Monitoring, Data Analysis, Industry Knowledge, Issue Management, Laws and Regulations, Professional Standards, Risk Management, Root Cause Analysis.
-
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
-
Anticipated Posting Close Date:
Jan 16, 2026
-
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. 
 
View Citi&rsquo;s EEO Policy Statement and the Know Your Rights poster.</div>

Vice President – AI Business Enablement

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.
 
 
 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.
 
 
 
 Our Products
 
 
 
 Captions
 
 
 Mirage Studio
 
 
 
 Our Technology
 
 
 
 AI Research @ Mirage
 
 
 Mirage Model Announcement
 
 
 Seeing Voices (white-paper)
 
 
 
 Press Coverage
 
 
 
 TechCrunch
 
 
 Lenny&rsquo;s Podcast
 
 
 Forbes AI 50
 
 
 Fast Company
 
 
 
 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
 
 , Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more.
 
 
 <ul>
 <li>
 Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square)
 
 
 </li>
 </ul>
 
 
 We do not work with third-party recruiting agencies, please do not contact us**
 
 
 
 
 
 About The Role
 
 
 
 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.
 
 
 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.
 
 
 
 Responsibilities
 
 
 
 <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
 
 
 </li>
 </ul>
 
 What Makes You a Great Fit
 
 
 
 <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
 
 
 </li>
 </ul>
 
 Even better if...
 
 
 
 <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
 
 
 </li>
 </ul>
 
 Benefits:
 
 
 
 <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
 
 
 </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: $185K - $285K
 
 
</div>

Software Engineer, Backend

Rain

<div><h2 class="jobSectionHeader">About the Company</h2>
Rain makes the next generation of payments possible across the globe. We&rsquo;re a lean and mighty team of passionate builders and veteran founders. Our infrastructure makes stablecoins usable in the real-world by powering card transactions, cross-border payments, B2B purchases, remittances, and more. We partner with fintechs, neobanks, and institutions to help them launch solutions that are global, inclusive, and efficient. You will have the opportunity to deliver massive impact at a hypergrowth company that is funded by some of the top investors in fintech, crypto, and SaaS, including Sapphire Ventures, Norwest, Galaxy Ventures, Lightspeed, Khosla, and several more. If you&rsquo;re curious, bold, and excited to help shape a borderless financial future, we&rsquo;d love to talk.<h2 class="jobSectionHeader">
Our Ethos</h2>
We believe in an open and flat structure. You will be able to grow into the role that most aligns with your goals. Our team members at all levels have the freedom to explore ideas and impact the roadmap and vision of our company.<h2 class="jobSectionHeader">
About the Team</h2>
The fraud risk management team at Rain creates sophisticated, scalable risk mitigation solutions to protect our customers and deliver a low-friction experience. We achieve this by maintaining transaction and lifecycle event monitoring, building alerts to speed fraud detection and response, and creating risk rules and strategies powered by ML models. We are a pillar of the business, supporting new products and ensuring their success. Rain&rsquo;s next-generation payment technology introduces new fraud vectors that require holistic, end-to-end thinking, strong data fundamentals, and fraud management savvy to combat.<h2 class="jobSectionHeader">
What you&rsquo;ll do</h2><ul><li>
Architect and build scalable ML systems for fraud detection, anomaly detection, and behavioral analysis</li><li>
Develop and maintain end-to-end ML pipelines: data ingestion, feature engineering, model training, deployment, and continuous monitoring</li><li>
Design and implement low-latency, real-time decision systems partnering with fraud risk data scientists, integrating with transaction or behavioral data streams</li><li>
Own ML infrastructure, including model versioning, automated retraining, and safe deployment strategies (e.g., shadow, rollback).</li><li>
Build robust monitoring and alerting for model performance, latency, data quality, and drift</li><li>
Lead experimentation on model explainability, drift detection, and adversarial robustness for fraud prevention use cases</li><li>
Develop tooling and processes to improve the effectiveness and speed of the ML development lifecycle</li><li>
Partner with platform teams to meet strict SLAs for availability, latency, and accuracy</li><li>
Collaborate closely with talented engineers, data scientist and compliance teams across Rain</li><li>
Work in a fast-paced environment on a rapidly growing product suite.</li><li>
Solve complex problems at the intersection of ML systems, data, and reliability</li></ul><h2 class="jobSectionHeader">
What we're looking for</h2><ul><li>
5+ years of experience building ML systems in production; at least 2+ in fraud, risk, or anomaly detection domains</li><li>
A degree in Computer Science, Engineering, Statistics, Applied Math, or a related technical field</li><li>
Proven track record designing and maintaining ML models at scale</li><li>
Advanced proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn)</li><li>
Strong understanding of supervised/unsupervised learning, anomaly detection, and statistical modeling</li><li>
Ability to work autonomously, manage ambiguity, and collaborate closely with data scientists to translate analytical models into robust fraud prevention systems</li><li>
Experience developing, validating, and productionalizing predictive real-time and offline fraud detection models using supervised and unsupervised ML techniques.</li><li>
Experience collaborating with cross-functional teams to prioritize, scope, and deploy MLI solutions at scale</li></ul><h2 class="jobSectionHeader">
Nice to have, but not mandatory</h2><ul><li>
Domain expertise in banking, payments, or transaction monitoring</li><li>
Experience with graph-based or network-level fraud detection techniques</li><li>
A graduate degree in Computer Science, Engineering, Statistics, Applied Math, or a related technical field</li><li>
Experience fine-tuning or adapting generative AI / large language models for pattern generation or synthetic data augmentation (in partnership with data science)</li><li>
Knowledge of model governance, bias mitigation, and regulatory compliance in fraud contexts</li></ul><h2 class="jobSectionHeader">
Things that enable a fulfilling, healthy, and happy experience at Rain:</h2><ul><li>
Unlimited time off Unlimited vacation can be daunting, so we require Rainmakers to take at least 10 days off.</li><li>
Flexible working We support a flexible workplace. If you feel comfortable at home, please work from home. If you&rsquo;d like to work with others in an office, feel free to come in. We want everyone to be able to work in the environment in which they are their most confident and productive selves. New Rainmakers will receive a stipend to create a comfortable home environment.</li><li>
Easy to access benefits For US Rainmakers, we offer comprehensive health, dental, and vision plans for you and your dependents, as well as a 100% company subsidized life insurance plan.</li><li>
Retirement goalsPlan for the future with confidence. We offer a 401(k) with a 4% company match.</li><li>
Equity plan We offer every Rainmaker an equity option plan so we can all benefit from our success.</li><li>
Rain Cards We want Rainmakers to be knowledgeable about our core products and services. To support this mission, we issue a card for our team to use for testing.</li><li>
Health and Wellness High performance begins from within. Rainmakers are welcome to use their card for eligible health and wellness spending like gym memberships/fitness classes, massages, acupuncture - whatever recharges you!</li><li>
Team summits Summits play an important role at Rain! Time spent together helps us get to know each other, strengthen our relationships, and build a common destiny. Expect team and company off-sites both domestically and internationally.</li></ul>
Compensation Range: $187K - $258.7K</div>

Machine Learning Engineer - Fraud Risk

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