advanced software engineer - revenue systems

data scientist

2026 ai intern, long/short equities Jobs in New York

2026 ai intern, long/short equities

advanced software engineer - revenue systems Jobs in New York

advanced software engineer - salesforce Jobs in New York

advanced software engineer - salesforce

ai data engineer

data platform engineer intern

Medidata Solutions

<div><div>About the Company:
Location: Hybrid 
Medidata follows a hybrid office policy in which employees who are hired for an in-person position are expected to work on site a certain number of days per week in accordance with Company policy.
About our Company: 
Medidata is powering smarter treatments and healthier people through digital solutions to support clinical trials. Celebrating 25 years of ground-breaking technological innovation across more than 36,000 trials and 11 million patients, Medidata offers industry-leading expertise, analytics-powered insights, and one of the largest clinical trial data sets in the industry. More than 1 million users trust Medidata's seamless, end-to-end platform to improve patient experiences, accelerate clinical breakthroughs, and bring therapies to market faster. Discover more at www.medidata.com.
About the team:
The Senior Director FP&amp;A reports directly to the VP of FP&amp;A and will lead our long-range plan, forecasting, annual budgeting processes, operational reporting consolidation, and strategic analysis on company wide allocation. You will partner closely with senior leadership to plan and prioritize the company&rsquo;s operational initiatives.
The successful candidate will be an expert leader with a proven track record of building teams and upgrading processes. They will have experience working in a dynamic environment that requires the ability to move the function forward while also delivering its day-to-day commitments.
If you are passionate about process excellence, data-driven operations, customer experience, innovation and continuous improvement, and thrive on seeing the impact of your work on a daily basis, this is the perfect role for you.
What you'll do as our Senior Director, FP&amp;A:
Guide team to align financial planning with the overall business strategy and objectives to respective areas 
Build, lead, mentor, and develop a high-performing team of FP&amp;A managers and analysts, fostering a culture of excellence, collaboration, and continuous growth. 
Oversee the development and execution of the company's annual budget, quarterly forecasts, and long-range strategic plans, ensuring robust financial models and insightful scenario analysis. 
Present comprehensive financial performance updates, strategic insights, and recommendations to the executive leadership team 
Influence the team of trusted financial advisors and strategic business partners to executive leadership across various business units, providing critical financial guidance and influencing strategic decision-making on key business initiatives. 
Direct the development and monitoring of key performance indicators (KPIs) across the organization, working collaboratively with business leaders to establish targets, track performance, and drive accountability. 
Lead the development of sophisticated financial models to evaluate strategic investments, mergers and acquisitions, capital allocation decisions, and other significant financial initiatives. 
Identify and proactively analyze emerging business trends, risks, and opportunities, and translate these insights into actionable financial strategies and recommendations. 
Drive continuous improvement in FP&amp;A processes, systems, and reporting capabilities to enhance efficiency, accuracy, and scalability. 
Lead and sponsor strategic financial projects and initiatives that support the company's growth and profitability objectives. 
Contribute to the development and implementation of company-wide financial policies and procedures. 
Stay at the forefront of industry trends, macroeconomic factors, and best practices in financial planning and analysis, and proactively share knowledge and insights across the organization. 
Participate actively in strategic planning discussions at the executive level, providing critical financial perspectives and insights to shape the company's long-term direction.</div><div>
What we're looking for:
Bachelor's degree in Finance, Accounting, Economics, or a related field. MBA or relevant advanced degree is required. 
Minimum of 15 years of experience in financial planning and analysis, with significant leadership experience managing and developing teams of managers and analysts. 
Proven track record of developing, managing, and leading a team. 
Proven track record of providing strategic financial leadership and influencing executive-level decision-making. 
Deep understanding of GAAP and financial accounting principles, with experience in a complex, global organization. 
Expert-level proficiency in Excel and financial modeling, with the ability to develop sophisticated and dynamic models for various strategic scenarios. 
Exceptional analytical, problem-solving, and strategic thinking skills with a demonstrated ability to translate complex financial data into clear, concise, and actionable insights for executive audiences. 
Outstanding communication (written and verbal), interpersonal, and executive presentation skills, with a proven ability to effectively communicate complex financial information to all levels of the organization, including the executive team. 
Demonstrated ability to build strong relationships and influence stakeholders at the executive level. 
Proven ability to lead and manage multiple complex, cross-functional projects and initiatives simultaneously. 
The salary range posted below refers only to positions that will be physically based in New York, NY. As with all roles, Medidata sets ranges based on a number of factors including function, level, candidate expertise and experience, and geographic location. Pay ranges for candidates in locations other than New York, NY may differ based on the local market data in that region. The base salary pay range for this position is $184,500 to $246,000.
Base pay is one part of the Total Rewards that Medidata provides to compensate and recognize employees for their work. Most sales positions are eligible for a commission on the terms of applicable plan documents, and many of Medidata's non-sales positions are eligible for annual bonuses. Medidata believes that benefits should connect you to the support you need when it matters most and provides best-in-class benefits, including medical, dental, life and disability insurance; 401(k) matching; flexible paid time off; and 10 paid holidays per year. 
Note: Please be on the lookout for job scams. Medidata recruiters will never ask applicants for monetary compensation, credit card, or banking details. 
Equal Employment Opportunity: 
In order to provide equal employment and advancement opportunities to all individuals, employment decisions at Medidata are based on merit, qualifications and abilities. Medidata is committed to a policy of non-discrimination and equal opportunity for all employees and qualified applicants without regard to race, color, religion, gender, sex (including pregnancy, childbirth or medical or common conditions related to pregnancy or childbirth), sexual orientation, gender identity, gender expression, marital status, familial status, national origin, ancestry, age, disability, veteran status, military service, application for military service, genetic information, receipt of free medical care, or any other characteristic protected under applicable law. Medidata will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law. 
Applications will be accepted on an ongoing basis until the position is filled. 
#LI-TC1 
#LI-Hybrid 
Inclusion Statement 
As a game-changer in sustainable technology and innovation, Medidata, a Dassault Syst&egrave;mes company, is striving to build more inclusive teams across the globe. We believe that our people are our number one asset and we want all employees to feel empowered to bring their whole selves to work every day. It is our goal that our people feel a sense of pride and a passion for belonging. As a company leading change, it's our responsibility to foster opportunities for all people to participate in a harmonized Workforce of the Future.</div><h2 class="jobSectionHeader">
Inclusion statement</h2><div>
In order to provide equal employment and advancement opportunities to all individuals, employment decisions at 3DS are based on merit, qualifications and abilities. 3DS is committed to a policy of non-discrimination and equal opportunity for all employees and qualified applicants without regard to race, color, religion, gender, sex (including pregnancy, childbirth or medical or common conditions related to pregnancy or childbirth), sexual orientation, gender identity, gender expression, marital status, familial status, national origin, ancestry, age (40 and above), disability, veteran status, military service, application for military service, genetic information, receipt of free medical care, or any other characteristic protected under applicable law. 3DS will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable state laws and local ordinances. We are committed to fair employment practices and will evaluate all candidates based on their qualifications, regardless of past arrest or conviction history.</div><div>
Salary Pay Transparency</div><div>
Compensation for the role will be commensurate with experience. The total expected compensation range will be between $184500 and $246000, representing the base salary (or annualized salary based on estimated hourly compensation) and target bonus.</div></div>

Data Platform Engineer Intern

RSC Solutions

<div>
 
 
 
 TITLE: Senior Data Platform Engineer w/DBT &amp; Airflow
 
 
 
 LOCATION: New York City (midtown)
 
 HYBRID ONSITE 4 DAYS IN THE OFFICE
 
 NO C2C 3RD PARTY VENDORS!!
 
 NO RELOCATION!!
 
 
 
 
 JOB DESCRIPTION:
 
 EXPERIENCED DATA ENGINEER MUST HAVE HANDS ON EXPERIENCE WITH DEPLOYMENTS, DBT, AIRFLOW, PYTHON AND AWS.
 
 
 
 The Data Platform Engineer will be responsible for the design, build, and maintenance of Company's data platforms used for both analytics and for the integration of business and customer-facing applications. This role plays a critical part in advancing cloud-native data architecture and enabling reliable, scalable analytics and production data use cases. The Data Platform Engineer will design, build, and operate core components of the enterprise data platform, including robust data pipelines, scalable cloud infrastructure, and optimized data models that power business intelligence and operational systems across the organization. This position requires strong hands-on engineering expertise along with the ability to contribute to platform-level architecture, ensuring the data ecosystem is performant, secure, and positioned to scale with evolving business needs.
 
 
 
 
 Specific Functions/Activities&nbsp;
 
 
 SUMMARY:
 
 <ul>
 <li>
 Design, build, and maintain scalable, reliable AWS-based data architecture
 </li>
 <li>
 
 Develop and optimize production-grade Python data pipelines
 
 </li>
 <li>
 
 Own end-to-end ELT workflows using DBT and Apache Airflow
 
 </li>
 <li>
 Design, implement, and optimize data models to support analytics and operational reporting
 </li>
 <li>
 Improve platform reliability, observability, and performance across the data stack
 </li>
 <li>
 Contribute to architectural decisions for scalability, security, and cost optimization
 </li>
 <li>
 Partner with DevOps to implement CI/CD, infrastructure-as-code, and automated deployments
 </li>
 <li>
 Evaluate and recommend new technologies to evolve MSG's data platform
 </li>
 </ul>
 
 REQUIRED EXPERIENCE:
 
 <ul>
 <li>
 
 4-7 years experience building and maintaining production data pipelines
 
 </li>
 <li>
 
 4 years Python development experience (production-grade code)
 
 </li>
 <li>
 
 2 years experience with DBT
 
 </li>
 <li>
 
 2 years experience with Apache Airflow (or equivalent orchestration tools)
 
 </li>
 <li>
 Strong SQL and data modeling expertise (dimensional normalized modeling)
 </li>
 <li>
 Hands-on experience with AWS data services (S3, Redshift, Glue, Athena, DynamoDB)
 </li>
 <li>
 Experience designing scalable data architectures in cloud environments
 </li>
 <li>
 Experience troubleshooting and supporting production systems
 </li>
 <li>
 Strong communication skills and ability to work directly with business stakeholders
 </li>
 <li>
 Bachelor's degree in Computer Science, Engineering, or related field
 </li>
 </ul>
 
 Preferred
 
 <ul>
 <li>
 Infrastructure as Code (Terraform or CloudFormation)
 </li>
 <li>
 CI/CD and DevOps practices
 
 </li>
 </ul>
</div>

Senior Data Engineer with DBT and Airflow-Onsite NYC

Fendi

<div>
 
 Position
 
 
 
 Intern, Supply Chain
 
 
 
 Overview
 
 
 
 Job responsibilities:
 
 
 The Supply Chain Planning Intern will assist the Senior Manager, Planning, in helping the demand and distribution team to react fast to the daily challenges of a supply chain environment. The intern will assist the Senior Manager, Planning, in managing stock allocation and identifying opportunities to improve sales performance and product categories by market for FENDI Americas to identify opportunities and drive business.
 
 
 
 FENDI is committed to ensuring that its Internship Program provides a robust experience with a combination of learning and programmatic elements.
 
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Support the daily Supply Chain activities around stock management: distribution planning, stock rebalancing and sell-through optimization.
 </li>
 <li>
 Support in reviewing historical sales trends, research demand drivers, prepare forecast data, develop statistical forecast models, and evaluate forecast results
 </li>
 <li>
 Support closely with the coordination and communication with planning and logistics team to secure additional inventory when demand exceeds the forecast; Experience in sales forecasting.
 </li>
 <li>
 Support the Senior Manager, Planning in optimizing sales and sell through for seasonal product by creating tools to analyze datasets in a centralized platform/dashboard.
 </li>
 <li>
 Support the Senior Manager, Planning in preparing presentations for senior leaders and business reviews
 </li>
 <li>
 Support in the allocation of merchandise to stores and E-Commerce according to launch plan, warehouse and store inventory levels.
 </li>
 <li>
 Run stock reports to ensure the visibility of deliveries. Build alerts to minimize the &ldquo;sleeping&rdquo; inventory and ensure a follow up to increase our deliveries rate in the season
 </li>
 <li>
 Support in coordinating merchandise transfers to fulfill stock needs, refresh assortments and support events (i.e. caravans and trunk shows)
 </li>
 <li>
 Development of reporting dashboard for Planning and Management team, using Microsoft Power BI
 </li>
 <li>
 Support store openings / closing plans
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Additional information:
 
 
 <ul>
 <li>
 Must be available to work Monday-Friday: 9-6pm
 </li>
 <li>
 Bachelor&rsquo;s degree or previous internship experience in a related field preferred
 </li>
 <li>
 Proficiency in Microsoft Excel, PowerPoint, and Word.
 </li>
 <li>
 Advanced knowledge of Power BI. SQL, and/or Python.
 </li>
 <li>
 Excellent communications skills.
 </li>
 <li>
 Highly organized with a strong attention to detail.
 </li>
 <li>
 Must be self-motivated and work autonomously.
 </li>
 <li>
 Passion for Fendi and the Luxury Industry
 </li>
 </ul>
</div>

Intern, Supply Chain

Locality

<div>Locality is seeking a Senior Data Engineer whom will serve as the primary internal owner of our Audience Engine, spanning data ingestion, identity resolution, automation, and AI enablement. This role emphasizes hands on platform stewardship today, with a clear path to supporting future expansion of the HH Identity Graph and applied AI use cases.
<ul><li>Establish and own technical management of the Audience Engine, transitioning knowledge from external partners and building a scalable, internally managed data platform</li><li>
Reduce reliance on third-party vendors while maintaining high standards for platform reliability, uptime, and data integrity across all pipelines and integrations</li>
Architect, own, and continuously optimize Databricks Bronze Silver<li> Gold pipelines to support large scale audience ingestion, enrichment, and activation workflows</li><li>
Ensure the platform is scalable and cost efficient through effective pipeline optimization and resource management</li><li>
Proactively monitor, troubleshoot, and resolve ingestion failures, schema drift, and data quality issues across batch and near real time data pipelines</li><li>
Lead identity resolution across datasets including HHID, DSID, MAID, IP, and campaign logs, improving matching logic to strengthen the Household Identity Graph</li><li>
Guarantee accurate and timely audience publication by maintaining robust downstream data delivery processes and SLAs across activation platforms and partners</li><li>
Own and maintain integrations with external data and activation partners (e.g., Experian, FreeWheel, DSPs), ensuring seamless data exchange and operational reliability</li><li>
Partner cross functionally with Product, Analytics, and Ad Operations teams to onboard new data sources and activation endpoints, enabling new use cases and revenue opportunities</li><li>
Support and operationalize applied AI/ML workflows within Databricks, including integration with tools like Akkio, and translate business needs into production-ready data features and datasets</li><li>
Design and implement scalable data models and query-ready datasets that power BI reporting, audience insights, and predictive modeling, ensuring alignment with downstream analytics requirements</li><li>
Enforce data governance, lineage, and documentation standards while ensuring compliance with privacy, consent, and data usage regulations across all audience and identity data systems</li></ul><ul><li>
6+ years of experience as a Data Engineer or Data Platform Engineer, ideally within advertising</li><li>
Strong hands on experience with Databricks, Spark, and modern cloud data platforms</li><li>
Proven experience designing and maintaining multi-layered data architectures (Bronze / Silver / Gold)</li><li>
Deep expertise in SQL and proficiency in Python or another scripting language</li><li>
Experience working with identity graphs, audience data, and complex join logic across large datasets</li><li>
Hands on experience building and managing automated data pipelines and third-party data integrations</li><li>
Familiarity with adtech, martech, or audience activation platforms, including exposure to identity providers such as Experian or similar vendors</li><li>
Practical experience supporting AI/ML workflows or AI-enabled analytics, with an understanding of data quality, schema design, and performance optimization in cloud-scale environments</li></ul>
Compensation for the role includes a competitive base salary in the range from $75-$100/hr (dependent on years of experience, level of education obtained, as well as applicable skillset), and an excellent benefits package (including but not limited to health care benefits, retirement benefits and paid days off).
At Locality, we believe our biggest asset is our people. We are proud to be an equal opportunity employer, hiring and developing individuals from diverse backgrounds and experiences to add to our collaborative culture. Locality values and solicits applications from all qualified candidates without regard to actual or perceived race, creed, color, religion, sex, gender, age, physical or mental disability, medical condition, sexual orientation, gender identity and/or expression, alienage or national origin, ancestry, citizenship status, marital status, military or veteran status, genetic information, or any other basis protected by federal, state, or local law.</div>

Sr. Data Engineer (Contract to Perm)

Just Salad

<div><div>Just Salad is looking for a talented, creative, hard-working individual to join its marketing team as an intern for Summer 2026!
Location: Corporate Office (1350 Avenue of the Americas, Suite 730)
Reports to: Senior Field Marketing Manager
Internship Responsibilities:
Field Marketing &amp; Administrative Support
<ul><li>Administrative Support: Provide day-to-day administrative support to the Field Marketing team, including coordination and follow-ups.</li><li>
Data &amp; Tracker Management: Maintain and update lead, contact, and opportunity tracking spreadsheets to ensure accuracy and organization.</li><li>
Event Coordination Support: Assist with logistics for store openings, VIP Experiences, and food festivals, including scheduling and prep.</li><li>
Lead Tracking &amp; Research: Support lead tracking through research, data entry, and basic outreach coordination.</li><li>
Reporting &amp; Documentation: Help gather information related to market activity and compile summaries as needed.</li><li>
Operational Problem-Solving: Assist with resolving administrative or logistical issues, such as shipment tracking or delivery delays.</li></ul><div>
Influencer &amp; Social Marketing Support</div><div><ul><li>
Creator Discovery &amp; Outreach: Identify, research, and engage micro-influencers across Instagram and TikTok to support store openings, VIP experiences, and local activations.</li><li>
Influencer Relationship Management: Assist with outreach, scheduling visits, managing communications, and maintaining positive, ongoing relationships with creators.</li><li>
Social &amp; Influencer Tracking: Maintain influencer trackers including handles, follower counts, engagement rates, visit details, and content links.</li><li>
Event &amp; Visit Support: Help coordinate influencer visits tied to new store openings, tastings, food festivals, and community events.</li><li>
Trend Monitoring: Track social trends, viral formats, audio, and competitor influencer activity to inform outreach and content direction.</li></ul><div>
Our ideal intern would have the following qualities:</div><div><ul><li>
Passionate about social media, influencers, and creator culture.</li><li>
Actively uses Instagram and TikTok and understands what performs well on each platform.</li><li>
Strong written communication skills and confident drafting outreach messages.</li><li>
Calm under pressure and able to adapt quickly in live environments.</li><li>
Recent graduate with a degree in business, liberal arts, or communications.</li><li>
Experience with Microsoft Office and Google Suite.</li><li>
Exceptional organizational skills and strong attention to detail.</li><li>
Creative, personable, and fun to work with.</li><li>
Excellent writing, communication, and research skills.</li><li>
Fast learner &amp; quick worker.</li></ul><div>
Time Commitment &amp; Compensation:</div><div><ul><li>
Full Time ~ 40 hours per week Monday - Friday</li><li>
Free lunch while working</li><li>
12 weeks (June 1, 2026 to August 21, 2026)</li><li>
Hourly Pay ($17.00/hr to $17.50/hr)</li></ul></div></div></div>
About Us<div><div><div><div>
Just Salad is a fast-casual restaurant chain with a mission to make everyday health and sustainability possible. The brand serves craveable, accessible, plant-centric meals made with homemade dressings, prepped-daily produce, from-scratch recipes and fresh, flavorful ingredients. Guests can choose from over 15 chef-designed salads, wraps, warm bowls, market plates, soups and smoothies, including classic offerings and rotating seasonal favorites. Empowering customers to &ldquo;Eat with Purpose,&rdquo; Just Salad is a Certified B Corporation&trade; and home to the world&rsquo;s largest restaurant reusable program, as well as the first U.S. restaurant chain to carbon label its menu and offer a Climatarian menu category. The company was founded in 2006 and has over 100 locations across New York, New Jersey, Connecticut, Florida, Illinois, Pennsylvania, Massachusetts and Washington D.C.</div></div></div></div></div>
INDMANAGE</div>

Just Salad Field Marketing Administrative & Influencer Internship

<div>
 
 
 Role: Senior Data Analytics Engineer with AI Initiatives (Must)
 
 
 
 
 Location: New York/ Remote
 
 
 
 
 Experience: 5 - 10 years
 
 
 
 
 Duration: Full time
 
 
 
 
 
 
 
 Job Description:
 
 
 
 We are looking for a Lead Engineer to build and maintain scalable data pipelines and data platforms that support analytics, business Intelligence, reporting, and AI initiatives. In this role, you will work closely with data architects, analysts, and business stakeholders to develop reliable data solutions and ensure high-quality data is available across the organization.
 
 
 This is a
 
 hands-on engineering role
 
 focused on designing efficient data pipelines, improving data infrastructure, and enabling teams to leverage data effectively.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Design, build, and maintain scalable
 
 data pipelines and ETL/ELT workflows
 
 to ingest and transform data from multiple sources
 </li>
 <li>
 Develop and optimize
 
 batch and near real-time data processing pipelines
 
 for analytics and reporting
 </li>
 <li>
 Build and maintain
 
 data warehouse and data lake structures
 
 to support business intelligence and analytics use cases
 </li>
 <li>
 Implement and maintain
 
 data models
 
 that support efficient querying and reporting
 </li>
 <li>
 Improve performance and scalability of data systems through
 
 query optimization, indexing, and partitioning strategies
 
 </li>
 <li>
 Implement
 
 data quality checks, monitoring, and logging
 
 to ensure reliability of data pipelines
 </li>
 <li>
 Exposure to
 
 AI initiatives
 
 and experience
 
 building data pipelines
 
 supporting
 
 AI workflows
 
 </li>
 <li>
 Work with data architects and engineering teams to implement
 
 scalable data platform designs
 
 </li>
 <li>
 Collaborate with analysts, BI developers, and business stakeholders to deliver data solutions that support business needs
 </li>
 <li>
 Maintain documentation for data pipelines, data models, and data workflows
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 
 5 - 10 years of experience
 
 in Data Engineering and GenAI and Data Scientist and AI Engineer
 </li>
 <li>
 Strong experience with
 
 SQL and Python
 
 for data processing and transformation
 </li>
 <li>
 Experience building and maintaining
 
 ETL/ELT pipelines
 
 </li>
 <li>
 Solid understanding of
 
 data warehousing concepts and dimensional data modeling
 
 </li>
 <li>
 Experience working with
 
 cloud data platforms or modern data infrastructure
 
 </li>
 <li>
 Familiarity with
 
 workflow orchestration tools
 
 such as
 
 Airflow
 
 or similar
 </li>
 <li>
 Understanding of
 
 API-based data ingestion and data integration patterns
 
 </li>
 <li>
 Strong problem-solving and collaboration skills
 </li>
 </ul>
 
 
 
 
 
 Education
 
 
 
 Bachelor's or master's degree in computer science
 
 , Engineering, Information Systems, or a related field
 
 , or equivalent practical experience.
 
</div>

AI Data Engineer

Middesk

<div>
 
 About Middesk
 
 
 
 Middesk makes it easier for businesses to work together. Since 2018, we&rsquo;ve been transforming business identity verification, replacing slow, manual processes with seamless access to complete, up-to-date data. Our platform helps companies across industries confidently verify business identities, onboard customers faster, and reduce risk at every stage of the customer lifecycle.
 
 
 Middesk came out of Y Combinator, is backed by Sequoia Capital and Accel Partners, and was recently named to Forbes Fintech 50 List.
 
 
 
 The Role:
 
 
 
 We&rsquo;re building AI-driven applications that power business onboarding, fraud prevention, and identity verification. With proprietary data assets and deep domain expertise, we&rsquo;re uniquely positioned to create a new generation of ML-powered solutions for trust and risk.
 
 
 We&rsquo;re looking for a
 
 hands-on Machine Learning Engineer with strong Data Science expertise
 
 to take end-to-end ownership of the ML lifecycle: from feature design and model development, to deployment, monitoring, and iteration in production. Unlike larger organizations where responsibilities are split, you&rsquo;ll have the opportunity to
 
 own models from concept to production
 
 while working closely with product managers, engineers, and data platform teammates who support and amplify your work.
 
 
 This is a rare chance to join an
 
 earlier-stage company
 
 where you&rsquo;ll have broad visibility and influence, and where your ML systems will have immediate and measurable impact on customers.
 
 
 What You&rsquo;ll Do:
 
 
 <ul>
 <li>
 End-to-end ML ownership: Lead the full lifecycle of ML systems &mdash; feature engineering, model design, training, evaluation, deployment, monitoring, and iteration.
 </li>
 <li>
 Collaborate with a strong team: Work alongside data engineers, platform engineers, and product teammates who ensure you have the infrastructure, data, and context to deliver.
 </li>
 <li>
 Design &amp; deploy production models: Build high-performance ML applications in risk, fraud, trust &amp; safety, and compliance domains.
 </li>
 <li>
 Keep models healthy in production: Proactively monitor, detect drift, and retrain to ensure long-term performance and reliability.
 </li>
 <li>
 Experiment &amp; learn: Drive online experiments, offline evaluation, and counterfactual analyses to prove impact.
 </li>
 <li>
 Shape ML foundations: Contribute to the feature store, model management, training/serving pipelines, and best practices that scale ML across multiple use cases.
 
 
 </li>
 </ul>
 What We&rsquo;re Looking For:
 
 
 <ul>
 <li>
 4+ years applied ML experience with proven impact in risk, fraud, trust &amp; safety, compliance, fintech, or other high-stakes domains.
 </li>
 <li>
 Track record of owning ML models end-to-end &mdash; from research and design to deployment, monitoring, and retraining in production.
 </li>
 <li>
 Strong software engineering skills (Python, ML frameworks, deployment pipelines) and ability to write reliable, production-grade code.
 </li>
 <li>
 Hands-on experience with ML infrastructure such as feature stores, model management, training/serving pipelines, and monitoring tools.
 </li>
 <li>
 Comfortable as a senior IC: you can set technical direction, establish best practices, and mentor peers while collaborating effectively across teams.
 </li>
 <li>
 Experience working cross-functionally with data engineers, platform engineers, and product stakeholders to bring ML systems to life.
 </li>
 <li>
 Deep expertise in classification challenges such as imbalanced labels, sparse signals, cold start, and production version management.
 
 
 </li>
 </ul>
 Nice to Haves:
 
 
 <ul>
 <li>
 B2B SaaS experience, ideally building ML products for enterprise customers.
 </li>
 <li>
 Familiarity with graph, LLM-based feature generation, or AI agent workflows.
 </li>
 <li>
 Experience scaling ML across multiple products or risk domains.
 </li>
 </ul>
</div>

Machine Learning Engineer

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