software engineer Jobs in New York United States

software engineer

director, data operations Jobs in New York United States

director, data operations

director, lead data & analytics engineer Jobs in New York United States

director, lead data & analytics engineer

software engineer, ml Jobs in New York United States

software engineer, ml

data engineer

American Express

<div>At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.
Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.
How will you make an impact in this role?<ul><li>
Hands-on experience with IBM&rsquo;s ApptioOne and TBM Studio</li><li>
Hands-on experience designing pipelines to orchestra data ingestion and integration from external systems of record (SORs) into IBM ApptioOne</li><li>
A deep understanding of ApptioOne modules, namely Cost Transparency, Total Cost of Ownership and Bill of IT</li><li>
Expert-level knowledge and experience in RDBMS (SQL Server or Oracle or PostGres), NOSQL, Json, Node Js, Python Programming, Astronomer Airflow, HTML and XML</li><li>
Acumen towards building reporting dashboards and collections for varying audience personas such as executives, finance managers, product leaders, portfolio managers, and application owners/managers</li><li>
Keen ability and interest to build financial strategies, frameworks, and tools from the ground up</li><li>
Ability to demonstrate increased self-reliance to achieve team goals</li><li>
Demonstrable software development experience in a professional environment and/or comparable experience such as:</li><li>
Familiarity with Agile or DevOps</li><li>
Experience with API design, either as a provider or consumer</li><li>
Experience with object-oriented design and coding with variety of languages</li><li>
Experience with Power BI or Tableau is a plus, but not required</li><li>
Hands-on expertise with distributed (multi-tiered) systems and relational database design, development, troubleshooting and automated testing</li><li>
Excellent communication skills</li><li>
Bachelor&rsquo;s degree in computer science, Information Technology, Data Science or related experience is preferred</li></ul> 


Salary Range: $89,250.00 to $150,250.00 annually + bonus + benefits
The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we&rsquo;ll consider your location, experience, and other job-related factors.
We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:<ul><li>
Competitive base salaries</li><li>
Bonus incentives</li><li>
6% Company Match on retirement savings plan</li><li>
Free financial coaching and financial well-being support</li><li>
Comprehensive medical, dental, vision, life insurance, and disability benefits</li><li>
Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need</li><li>
20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy</li><li>
Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)</li><li>
Free and confidential counseling support through our Healthy Minds program</li><li>
Career development and training opportunities</li></ul>
For a full list of Team Amex benefits, visit our Colleague Benefits Site.
American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including, but not limited to, the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles&rsquo; Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions.
We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.
US Job Seekers - Click to view the &ldquo;Know Your Rights&rdquo; poster. If the link does not work, you may access the poster by copying and pasting the following URL in a new browser window: https://www.eeoc.gov/poster
Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions.</div>

Data Engineer

Morgan Stanley

<div>Morgan Stanley Services Group, Inc. seeks a Director, Lead Data &amp; Analytics Engineer in New York, New York
Maintain and support services and capabilities of the firm&rsquo;s internal search infrastructure. Onboard and index new data sources, clean existing index, improve relevancy algorithms, and apply AIML models to search application. Create data pipelines and ETL processes to facilitate onboarding client data into firm databases. Upgrade software system capabilities to best serve the business needs of end users. Incorporate industry best practices to improve performance and productivity of the firm&rsquo;s internal search infrastructure. Develop a monitoring mechanism for search infrastructure. Streamline and improve product delivery metrics. Troubleshoot technical issues, perform root cause analysis, and take appropriate action to remediate issues related to discovery, relevancy and data mining.
Salary :
Expected base pay rates for the role will be between $160,000 and $165,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.
Requirements:
Requires a Master's degree in Computer Science, Computer Engineering, or a related field plus three (3) years of experience in the position offered or three (3) years of experience as an AI/ML Engineer, Data Scientist, or related occupation. Two (2) years of experience with: Java.
 
 
One (1) year of experience with: vended or open-source search engines; Javascript; and Python.
 
 
Any amount of experience with: building and training machine learning models; deploying machine learning models in production; AI chatbot development; Semantic search; Lucidworks Fusion connector configurations; indexing strategies for structured and unstructured data; faceted search; typeahead; relevance boosting; DevOPs; KPI&rsquo;s; Agile practices; Enterprise Git; GitHub; Jenkins; continuous integration tools, including Artifactory ro, SonarQube, selenium, and Jmeter; load testing; troubleshooting and production support; Docker; Kubernetes; and Azure.
Qualified Applicants: To apply, visit us at https://morganstanley.eightfold.ai/careers?source=mscom and enter JR025360 in the search field. No calls please. EOE
WHAT YOU CAN EXPECT FROM MORGAN STANLEY:
We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren&rsquo;t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you&rsquo;ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There&rsquo;s also ample opportunity to move about the business for those who show passion and grit in their work.
To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-officesinto your browser.
Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees.
It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law.
Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).</div>

Director, Lead Data & Analytics Engineer

Boosted.ai

<div>
 Boosted.ai is building AI purpose-built for finance to help teams do more. Our mission is to optimize investing and boost productivity. We&rsquo;re already trusted by leading enterprises and developers with over $5T under management with Boosted.ai.
 
 
 From the fastest growing hedge funds to global financial institutions, our tool lets our users stay ahead of the competition with AI that works for them. We believe that modern investment professionals will win the future of finance by using the best tools; a unique competitive edge powered by data, experimentation, and automation.
 
 
 Boosted.ai is the platform they use to cut through data overload, outpace competitors, and reclaim their time. We&rsquo;re looking for sharp, low-ego people to help teams find their edge.
 
 
 
 Why is Boosted.ai the best place to work?
 
 
 
 <ul>
 <li>
 Customers love the product (adopted by many of the biggest financial institutions and rapidly expanding to more firms)
 </li>
 <li>
 We&rsquo;re growing a lot (5x in the last year)
 </li>
 <li>
 Incredible culture (our customers keep applying to work here)
 </li>
 <li>
 Well-resourced &mdash; our lead investors are innovators and disruptors in financial and technology markets, including Spark Capital (Twitter, Slack, Affirm), Ten Coves Capital (Plaid, Sentieo, TouchBistro), Portage Ventures (Wealthsimple, Borrowell, Nesto), and RBC (Royal Bank of Canada)
 
 
 </li>
 </ul>
 
 Position Description
 
 
 
 Boosted.ai is seeking a highly motivated and results-driven Senior Software Engineer to play a pivotal role in designing and building advanced software solutions that empower organizations. Working closely with senior members of Boosted.ai&rsquo;s engineering and management teams, the ideal candidate will excel at developing scalable, high-performance systems to support our cutting-edge analytics platform.
 
 
 As part of a dynamic and collaborative engineering team, this role requires someone excited by tackling complex challenges, strategizing innovative approaches, and delivering robust, impactful solutions. You will thrive in a fast-paced environment, owning projects from ideation to implementation, writing clean and maintainable code, and contributing to our ambitious growth goals.
 
 
 The ideal candidate is a results-oriented engineer with a strong technical foundation, outstanding problem-solving skills, and a history of delivering high-quality software. You will be responsible for leading key initiatives, mentoring junior developers, and collaborating cross-functionally to scale our platform and deliver value to clients.
 
 
 If you are a highly motivated, entrepreneurial self-starter with a natural curiosity and a passion for technology &ndash; we&rsquo;d love to chat!
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Take ownership of the full software development lifecycle, including designing, developing, testing, and maintaining software solutions.
 </li>
 <li>
 Collaborate with cross-functional teams, including product managers, data scientists, and other engineers, to develop scalable and high-performance systems.
 </li>
 <li>
 Partner with clients and internal stakeholders to understand their needs and design solutions that optimize workflows and address complex technical challenges.
 </li>
 <li>
 Work with large datasets, ensuring efficient processing, manipulation, and analysis.
 </li>
 <li>
 Contribute to architectural decisions, proposing and implementing innovative solutions to technical problems.
 </li>
 <li>
 Mentor and guide junior team members to promote growth and knowledge sharing within the engineering team.
 </li>
 <li>
 Continuously evaluate and integrate emerging technologies to improve system performance and scalability.
 </li>
 <li>
 Maintain a strong focus on writing clean, maintainable, and efficient code while adhering to best practices and coding standards.
 
 
 </li>
 </ul>
 
 What You'll Bring
 
 
 
 <ul>
 <li>
 Bachelor's, Master's, or PhD in Computer Science, Software Engineering, or a related field.
 </li>
 <li>
 3+ years of professional programming experience, with a strong focus on Python.
 </li>
 <li>
 Solid understanding of data structures, algorithms, and their applications.
 </li>
 <li>
 Experience building and optimizing distributed, scalable systems and high-performance applications.
 </li>
 <li>
 Proficiency in working with large-scale datasets and implementing solutions for efficient data processing.
 </li>
 <li>
 Strong problem-solving skills with the ability to make quick, thoughtful decisions in a fast-paced environment.
 </li>
 <li>
 Excellent communication skills with a proven ability to collaborate effectively in a team-oriented environment.
 </li>
 <li>
 Experience with machine learning, data analytics, or financial services is a bonus
 
 
 </li>
 </ul>
 
 Our Values
 
 
 
 We are guided by a set of values that are at the core of our actions and define our culture. These principles are the foundation of our work, and we are committed to upholding them in everything we do.
 
 
 <ul>
 <li>
 Collaborative &ndash; We value our team and know that success can only come from working together
 </li>
 <li>
 Client Centric &ndash; Our focus is always on our clients and consistently delivering them value
 </li>
 <li>
 Action Oriented &ndash; We remove barriers and we seek to improve in measurable ways
 </li>
 <li>
 Accountable &ndash; We are accountable for ourselves, and we hold each other accountable
 </li>
 <li>
 Respectful &ndash; We are proud of our work, we are respectful of each other&rsquo;s opinions, and we keep a positive attitude
 
 
 </li>
 </ul>
 
 What we offer
 
 
 
 We want our benefits to reflect our values and offer the following to full-time employees:
 
 
 <ul>
 <li>
 Flexible (Unlimited) Paid Time Off
 </li>
 <li>
 Medical, Dental, and Vision benefits for you and your family
 </li>
 <li>
 Life Insurance and Disability Benefits
 </li>
 <li>
 Access to a 401(k) retirement savings plan (for U.S. employees)
 </li>
 <li>
 Paid Parental Leave
 </li>
 <li>
 Free access to use Boosted.ai Alfa&trade; to make money
 </li>
 <li>
 We love the energy of in-person collaboration while also offering the flexibility to work from home when needed
 
 
 </li>
 </ul>
 These benefits are further detailed in Boosted.ai&rsquo;s policies and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Boosted.ai&rsquo;s equity plans subject to the terms of the applicable plans and policies.
 
 
 
 Be you, with us
 
 
 
 We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
</div>

Senior Software Engineer

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
As a Software Development Engineer in the Communications and Corporate Responsibility (CCR) Tech organization, you will work in a collaborative team environment delivering data-driven solutions and analytics capabilities. Our team specializes in building and maintaining data pipelines and analytics platforms that help internal customers access, analyze, and understand Amazon's communications efforts globally. 
In this role, you will develop and maintain data processing systems and analytics applications. Working alongside experienced engineers, you'll design and implement data ingestion pipelines, transform raw data into actionable insights, and build efficient data storage solutions using technologies like Amazon Redshift, S3 data lakes, and various AWS analytics services. 
 
This is an ideal role for engineers with data engineering expertise who want to expand their impact beyond traditional data functions. You'll have opportunities to grow as both a data specialist and a well-rounded software developer. 
 
A day in the life 
Your daily work will involve writing maintainable, efficient code for data processing and analytics workflows. You'll design and implement ETL pipelines, optimize query performance, and ensure data quality and consistency. Key responsibilities include building and maintaining data lakes using AWS services, developing ETL processes for data ingestion and transformation, optimizing Redshift queries and table designs, implementing data quality checks and monitoring, and creating efficient data models for analytics use cases. 
The ideal candidate should have experience with data warehouse technologies, particularly Amazon Redshift, ETL pipeline development and maintenance, SQL and data modeling, working with large-scale data processing systems, data lake architecture and implementation, and Python, Java, or similar languages for data processing. 
 
About the team 
You'll be joining a data-focused technical team within a primarily non-technical organization, providing unique opportunities to work with various data sources while building analytics solutions that make immediate impact. We emphasize data quality, performance optimization, and sustainable development practices. 
Our work spans several core data initiatives supporting Amazon's communications efforts, giving you exposure to different types of data processing and analytics challenges. As part of our team, you'll contribute to systems that help internal customers derive insights from Amazon's communications data across the globe. You'll work with modern data architectures and see the direct impact of your solutions on our customers' ability to make data-driven decisions. 
We've built our team from scratch since 2022, establishing a culture that emphasizes continuous learning in data engineering and analytics. We believe in providing regular feedback and support to help our engineers develop their skills in modern data technologies and advance their careers. If you're passionate about data engineering and want to work in an environment that supports your growth as a data-focused software developer.<h2 class="jobSectionHeader"> 
BASIC QUALIFICATIONS</h2><ul><li>3+ years of non-internship professional software development experience</li><li>2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience programming with at least one software programming language</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Bachelor's degree in computer science or equivalent</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 $129,300/year in our lowest geographic market up to $223,600/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>

Software Development Engineer, Communications and Corporate Responsibility

designworks

Key Responsibilities: 1. Design, implement, and maintain database systems to ensure data integrity, security, and performance. 2. Develop and implement database architectures, data models, and schema. 3. Ensure database security, backup, and recovery procedures are in place. 4. Optimize database performance, query optimization, and indexing. 5. Collaborate with cross-functional teams, including development, QA, and operations. 6. Troubleshoot and resolve database issues, including data corruption and performance degradation. 7. Stay up-to-date with industry trends, emerging technologies, and database best practices. Requirements: 1. Bachelor's degree in Computer Science, Information Technology, or related field. 2. Advanced degree (e.g., MS) preferred. 3. Minimum 5 years of experience in database administration. 4. Professional certifications, such as Oracle OCP, Microsoft MCSE, or IBM DB2. 5. Strong technical and problem-solving skills. 6. Ability to work in a fast-paced environment. 7. Proficiency in database management systems, such as Oracle, Microsoft SQL Server, or IBM DB2. Nice to Have: 1. Experience with cloud-based database services, such as Amazon RDS or Google Cloud SQL. 2. Knowledge of database security best practices and compliance regulations. 3. Familiarity with data warehousing, business intelligence, and data analytics.

Database Administrator

Moody's

<div>At Moody's, we unite the brightest minds to turn today&rsquo;s risks into tomorrow&rsquo;s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are&mdash;with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody&rsquo;s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we&rsquo;re advancing AI to move from insight to action&mdash;enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence.
If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity.
Skills &amp; Competencies
<ul><li>Proficiency in one or more programming languages, with a solid foundation in computer science fundamentals such as data structures, algorithms, and object-oriented design</li><li>
Growth mindset and adaptability, demonstrated by the ability to take initiative, learn new technologies quickly, and apply constructive feedback
</li><li>Demonstrated initiative and curiosity, shown through academic projects, internships, hackathons, or personal work that reflects a passion for innovation</li><li>
Strong analytical and problem-solving skills, with the ability to break down complex issues and propose thoughtful, effective technical solutions</li><li>
Clear communication and collaboration skills, enabling you to contribute to an inclusive, supportive team environment across diverse and cross-functional teams</li><li>
High attention to detail and organizational skills, with the ability to write clean code, document work clearly, and manage tasks effectively in a fast-paced setting</li><li>
Basic understanding of artificial intelligence concepts, with curiosity and enthusiasm for learning how AI tools can be used to improve processes and drive efficiency. Interest in exploring AI systems and a willingness to develop awareness of responsible AI practices, including risk management and ethical use.</li></ul>
Education
<ul><li>Graduating with a minimum of a Bachelor&rsquo;s degree or equivalent in Computer Science, Information Technology, Computer Engineering or related</li><li>
Anticipated graduation date of June 2026 or prior</li><li>
Minimum GPA of 3.0</li></ul>
Responsibilities 
Rotational assignments vary in terms of the technology skills required, and may use any or all of the following technologies: Python, SQL, Java, TypeScript, R, Golang, JavaScript, Terraform, C, C#, .NET, Scala, Apache Spark, Kafka, Hadoop, Angular, React, Kubernetes, Docker, Jenkins, Databricks, Snowflake, Model Context Protocol, Terraform, Bamboo, GitHub, Amazon Web Services, Microsoft Azure, Google Cloud Platform (GCP). 
At Moody&rsquo;s we are committed to integrating generative AI within each of our teams, which you will gain experience in during your time in the rotation program. Typical responsibilities for participants in the program may include, but are certainly not limited to, examples in the list below:<ul><li>
Build and deploy components of the Moody&rsquo;s Data Platform, including ingestion pipelines, CI/CD workflows, and test environments using Azure Databricks and Microsoft Fabric</li><li>
Develop a proof of concept and relevant documentation leveraging iPaaS to integrate existing technical products and present findings to senior leadership</li><li>
Develop and enhance internal web applications using JavaScript, React, and Python to improve efficiency for analytics and operations teams</li><li>
Work on integrating third-party APIs into Moody&rsquo;s systems to enhance data availability and improve product functionality</li><li>
Support the automation of application deployments using AWS, Terraform, and Jenkins to streamline release processes</li><li>
Collaborate with QA teams to design automated test scripts, ensuring the reliability and performance of Moody&rsquo;s software products</li></ul>
About the Program 
Embark on an exciting journey in your early career by joining the Moody&rsquo;s Technology Rotation Program &ndash; Software Engineer! This dynamic program is your gateway to launching your career in software engineering, offering recent graduates the chance to dive into diverse areas of technology including front-end, back-end, full stack, DevOps, QA, data engineering and more. You&rsquo;ll not only enhance your technical skills but also cultivate essential business acumen and non-technical skills, all while forging invaluable connections with a community of your peers.
Over the course of the 2-year program, you&rsquo;ll participate in three 8-month rotation assignments across various Moody&rsquo;s Business Units (BUs), gaining a variety of experiences that will shape you into a future technology leader at the firm. Based in our headquarters in New York, this hybrid program encourages collaboration and innovation, requiring participants to join our community in the office 2 days per week.
As you navigate through the program, you&rsquo;ll be empowered to develop in your professional career by engaging in monthly workshops, obtaining technical certifications, and through receiving ongoing feedback from your rotation team &ndash; all with the support of a dedicated program manager. Starting together as a cohort, you&rsquo;ll build friendships and a strong support network from day one, setting the stage for an incredible career ahead.
For US-based roles only: the anticipated hiring base salary range for this position is $105,000, depending on factors such as experience, education, level, skills, and location. This range is based on a full-time position. In addition to base salary, this role may be eligible for a completion bonus. Moody&rsquo;s also offers insurance and a discounted employee stock purchase plan for limited duration employees.
Moody&rsquo;s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, gender, age, religion or creed, national origin, ancestry, citizenship, marital or familial status, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, military or veteran status, or any other characteristic protected by law. Moody&rsquo;s also provides reasonable accommodation to qualified individuals with disabilities or based on a sincerely held religious belief in accordance with applicable laws. If you need to inquire about a reasonable accommodation, or need assistance with completing the application process, please email accommodations@moodys.com. This contact information is for accommodation requests only, and cannot be used to inquire about the status of applications.
For San Francisco positions, qualified applicants with criminal histories will be considered for employment consistent with the requirements of the San Francisco Fair Chance Ordinance.
This position may be considered a promotional opportunity, pursuant to the Colorado Equal Pay for Equal Work Act. 
 
Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody&rsquo;s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary. 
For more information on the Securities Trading Program, please refer to the STP Quick Reference guide on ComplianceNet 
 
Please note: STP categories are assigned by the hiring teams and are subject to change over the course of an employee&rsquo;s tenure with Moody&rsquo;s.</div>

Moody's Technology Rotation Program - Software Engineering

Norm AI

<div>About Norm Ai
Norm Ai, the leading Legal &amp; Compliance AI company, has a client base with a combined $30 trillion in assets under management. By turning legal code into AI code, Norm enables enterprises to move faster and more comprehensively in their legal and compliance processes with reliability and trust.
Norm&rsquo;s platform combines frontier AI, proprietary legal reasoning systems, and embedded legal and regulatory expertise.
We have recently raised more than $140 million, backed by Blackstone, Bain Capital, Vanguard, Citi, New York Life, TIAA, Coatue, Craft Ventures, Henry R. Kravis (KKR co-founder), and Marc Benioff (Salesforce CEO).
Norm Ai pioneered Legal Engineering, the process that empowers lawyers to build and supervise domain-specific AI agents with Norm&rsquo;s proprietary suite of no-code software tools. We hired dozens of lawyers from premier U.S. law firms and trained them as Legal Engineers, who specialize in Large Language Model powered legal workflows.
Norm Ai technology is deployed inside many of the largest and most consequential institutions in the world. The company is growing quickly and hiring across all teams.
About Norm Law
Norm Law is the first AI-native full-service law firm for global institutional clients like Blackstone (see recent coverage of our Blackstone partnership. Legal Engineering, a discipline pioneered by Norm Ai, where lawyers develop legal AI agents, powers Norm Law to deliver faster, more precise, and more consistent legal services. With purpose-built AI agents completing first passes of work, Norm lawyers supervise, review, and focus on what matters most: strategic judgment and expert advice.
Norm Law and Norm Ai, together, are building Legal AGI.
This Role
As a Founding AI Engineer, you will work side-by-side with partners and associates. You&rsquo;ll build fast prototypes, test them directly in live workflows, and push successful systems into our platform. The role blends full stack engineering, AI, and data science. It requires fluency in production codebases, speed in iteration, and depth in applying LLMs to solve real problems.
This is a hands-on role at the intersection of AI, reasoning, and high-stakes decision-making. You&rsquo;ll work embedded with domain experts (e.g., lawyers, analysts, compliance officers) to observe workflows, identify inefficiencies, and prototype AI systems that transform how expert reasoning is performed.
Skills &amp; Experience<ul><li>
4+ years of experience as a software engineer, ML engineer, or data scientist</li><li>
Strong programming skills in Python, proficiency in Docker and data storage technologies such as Postgres and Redis</li><li>
Willingness to work with frontend technologies (Typescript, React, etc.) to bridge the gap between research ideas and the productization of new initiatives</li><li>
Experience in AI/ML infrastructure and tooling</li><li>
Interest in becoming a legal and compliance domain expert and working closely with professionals in the field</li><li>
Strong reading, writing, and quantitative skills, as well as a data-driven approach to problem solving</li></ul><h3 class="jobSectionHeader">
Skills &amp; Experience - Pluses</h3><ul><li>
Previously built one off analytical systems in trading, research, or other data-heavy fields.</li><li>
Interest in working directly with non-technical experts to translate their logic into code.</li><li>
Familiarity with and an eagerness to apply the latest AI research</li><li>
Experience applying traditional ML systems and processes in the context of state-of-the-art LLMs</li><li>
Experience deriving insights from PDFs and other unstructured or semi-structured data types</li><li>
Experience with context engineering and memory in the context of AI agents</li><li>
Experience modeling uncertainty in ML systems</li></ul>
Comp &amp; Benefits
$220,000-$285,000 base + employee equity (level dependent)
The range displayed in this job posting reflects the minimum and maximum target for new hire salary for this position. Within the range, individual pay is determined by various factors, including job-related skills (as uncovered during the interview process), experience, and relevant education or training. Please note that the compensation details listed here reflect the base salary only, and do not include equity or benefits. We offer a competitive salary along with equity compensation. Our comprehensive benefits package includes a 401(k) plan with an employer match. Employees enjoy top-tier insurance coverage, encompassing health, dental, hospital, accident, and vision plans.
We embrace a flexible hybrid model, typically in-office 4-5 days per week. For candidates needing to relocate to NYC, we provide relocation reimbursement. You'll thrive in our fast-paced learning environment where professional growth is constant.
If you&rsquo;re interested in the role but aren&rsquo;t sure whether you&rsquo;re a good fit, we&rsquo;d still like to hear from you.
To learn more about Norm Ai, visit our website.</div>

Founding AI Engineer - Norm Law

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