СШАApplied Scientist Intern
1 мес. назад
12.5k USD / мес.СШАTraineeHybrid
machine learningdata analysispython
Intern role focused on building machine learning models and tools for finance transaction infrastructure.
О компании
- is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
- The problems are high-stakes, data-dense, and unforgiving.
- We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At , everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
- The median customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without . We believe every ambitious company deserves the same.
- If you want to build systems that directly shape how companies move and manage billions, is the place to do it.
Обязанности
- The Applied Science team builds models and tools that solve ’s most critical problems: from underwriting businesses to combatting fraud to making spend management smarter. We’re deeply embedded in the business and provide a quantitative foundation for decision making.
- As an Applied Science intern, you’ll be a fully integrated member of the team and own your project from start to finish. Working with engineers, product managers, and business stakeholders, you’ll translate complex business needs into scalable machine-learning-driven solutions. This is a chance to apply ML concretely, ship code, and create genuine value for and our customers.
- You will focus on exciting problems in areas like: credit, fraud, growth, or our core product.
- End-to-End ML : own the model lifecycle from data exploration and feature engineering to training, benchmarking, deployment, and monitoring
- State-of-the-Art AI : leverage the latest Large Language Models (LLMs) to solve novel problems and create new product capabilities for our customers
- Versatile Techniques : apply the right tools to the right problems, whether it’s deep learning, gradient boosting, or causal inference
- Rigorous Experimentation : quantify the impact of your work through A/B tests and other statistical methods
- Collaborate : partner closely with product and business leaders to translate models and insights into actionable strategy and user-facing features
Будет плюсом
- Publications, Projects, or Previous Experience: relevant experience applying AI/ML and demonstrating your passion for the field
- Production ML Mindset : knowledge of software engineering best practices applied to ML including version control (Git), testing, and writing maintainable code
- Data Orchestration : experience with leveraging modern data orchestration platforms (Airflow, Dagster, Prefect, Metaflow)
Условия
- The monthly rate for this internship is $12,500 USD + housing stipend
- Apple MacBook
- Catered lunches in NYC office Monday-Friday
- Weekly coffee stipend
- Flexible PTO
- Centralized home-office equipment ordering
- Health and wellness stipend
- Budget for intra-office travel
Другое
- B.S., M.S. or Ph.D. Student: currently pursuing a degree in Data Science, Computer Science, Math, Physics, Economics, Statistics, or other quantitative fields with an expected graduation date between Dec 2027 - 2029. Graduate degrees are preferred, but not a must.
- Strong ML Fundamentals : solid understanding of the mathematical foundations of machine learning, statistics, probability, and optimization
- Strong Interest or Experience with AI : curiosity and drive to integrate cutting edge LLMs and agents into applied solutions
- Python Proficiency : good grasp of common Data Science libraries (pandas, scikit-learn, NumPy, PyTorch, etc.)
- SQL Knowledge : experience wrangling data in a modern data warehouse (e.g. Snowflake, BigQuery, Redshift, Clickhouse)
- Practical Experience : track record of curating datasets and building/evaluating ML models
- Strong Communication : ability to clearly explain complex concepts to both technical and non-technical audiences and use data to build a compelling narrative
- Bias For Action : a comfort with ambiguity and desire to ship solutions quickly then iterate
- 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
- One Medical annual membership
- 401(k), including employer match on contributions made while employed by
- Fertility HRA (up to $10,000 per year)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
- Pet insurance
- In-office perks: lunch, snacks, drinks, and more
- Relocation expense coverage to NYC or SF (if needed)
- Group medical, dental, and vision coverage through Sun Life
- Life, AD&D, and disability coverage
- Fertility drug coverage (up to $4,000 lifetime)
- Group Retirement Plan with employer match (RRSP + DPSP)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
- Employee Assistance Program and virtual care through Lumino Health
- Private medical insurance through Freedom Elite
- Virtual GP and at-home care via eMed x Livi
- Workplace pension through Penfold, with salary sacrifice option
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay
- If you are being referred for the role, please contact that person to apply on your behalf.
- Applicant Privacy Notice