Assistant Vice President/Vice President of NLP Engineer, iCapital
AI/ML
$130-200k
+ Equity + Annual performance bonus
3+ days a week in office
Fintech platform for alternative investments
Open for applications
Fintech platform for alternative investments
1001+ employees
Open for applications
$130-200k
+ Equity + Annual performance bonus
3+ days a week in office
1001+ employees
Company mission
To power the world’s alternative investment marketplace.
Role
Who you are
- If you are passionate about leveraging machine learning techniques to drive innovation and have a strong background in developing scalable solutions, we would love to hear from you
- 5+ years of experience as a hands-on AI/ML engineer in AI/ML/DS fields for AVP level, and 8+ years of experience for VP level.
- Advanced degree (Masters, PhD) in a relevant field (AI/ML/DS, mathematics, computer science, etc.)
- Experience building, training, and deploying ML & AI models and systems in a production environment in at least one of the following applications:
- Generative AI/Large Language Model (LLM)
- Natural Language Processing (NLP)
- Experience with RESTful API development and integration, with a preference for Python and FastAPI
- Experience building APIs and infrastructure for large scale machine learning applications using AWS
- Experience working with Large Language Models, such as GPT-4, Llama 3, and other commercial or open-source models in a production environment
- Knowledge of NLP techniques, including text data preprocessing (tokenization, stemming, and text normalization, etc.) and information extraction (summarization, and question answering, etc.)
- Proficiency in programming languages in Python, and libraries/frameworks like TensorFlow, PyTorch, spaCy and scikit-learn, etc
- Experience with software development best practices, including source control (Git), CI/CD pipelines, testing, and documentation
- Familiarity with database integration principles and practices, including SQL and NoSQL databases and data warehouse solutions (such as Snowflake)
- Strong problem-solving skills and the ability to work independently and collaboratively in a fast-paced, agile environment
- Good communication skills and the ability to effectively articulate technical concepts to both technical and non-technical audiences
- Nice to Have
- (VP Level Only) Proven track record of leading technical teams and managing complex integration projects
- Knowledge of machine learning algorithms and statistical techniques, their limitations and implementation challenges
- Experience with data visualization tools and techniques to effectively communicate and present findings
- Experience with data transformation tool (such as dbt) and orchestration tool (such as Airflow)
- Portfolio of personal projects on Github, BitBucket, Google Colab, Kaggle, etc
- Basic knowledge of finance and business (e.g., capital markets, alternative investments)
- Experience working in Finance or Financial Technology (FinTech). Understanding of regulatory and compliance requirements in the financial industry and their implications for machine learning applications
What the job involves
- ICapital's AI/ML team is developing cutting edge solutions to establish a unique competitive edge for the firm
- As a Machine Learning Engineer on our team, you will play a key role in engineering iCapital’s core machine learning and AI products
- You will be working in a collaborative team environment across product management, data engineering, and software engineering teams
- Build and integrate AI/ML/DS tools and workflows to address business needs and increase business efficiency
- Support the design, development, training, and deployment of AI/ML models and engineering solutions to solve business problems through a full development and production cycle in the FinTech domain
- Build and maintain RESTful APIs using Python and FastAPI
- Conduct thorough project scoping sessions to understand stakeholder needs and project requirements
- Contribute to the improvement of Machine Learning Operations (MLOps) pipelines and procedures to ensure efficiency, scalability, and maintainability
- Ensure the reliability, robustness, and scalability of machine learning models in production environments
- Collaborate with cross-functional teams, including product managers and full stack engineers, to deliver scalable machine learning solutions
- For AVP level, provide technical leadership to motivate and guide team members and mentor junior engineers. For VP level, serve as the technical lead and be able to resolve technical issues during and post implementation
- Stay updated with the latest industry trends, technologies, and best practices in machine learning and Generative AI fields
Our take
Alternative investing can yield huge profits, but it can often be inaccessible, even to enterprises. iCapital solves this problem by guiding large-scale businesses through the alternative investing process.
Since launching in 2013, iCapital has provided enterprises with an investing marketplace. Its focus has been on banking, wealth management, and asset management companies, and iCapital now serves clients such as JP Morgan, Evercore, and Rockefeller. As of February 2023, the company services over $153 billion in global client assets, clear evidence of industry confidence in the company.
iCapital's impact on the financial world is undeniable, forging strong and profitable partnerships with leading institutions like Morgan Stanley. With a proven track record and a rapidly growing platform, iCapital is poised for significant further expansion in the years to come.
Steph
Company Specialist at Welcome to the Jungle
Insights
Few candidates hear
back within 2 weeks
42% employee growth in 12 months
Company
Funding (last 2 of 8 rounds)
Dec 2021
$50m
LATE VC
Jul 2021
$440m
GROWTH EQUITY VC
Total funding: $680.6m
Company HQ
Murray Hill, New York, NY
Articles
Leadership
Lawrence Calcano
(CEO)Previously worked as Director of Capitol Acquisition Corp., and served as Director of Vibrant Emotional Health for 10 years.
Salary benchmarks
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Diversity, Equity & Inclusion at iCapital
- We consider applicants of all backgrounds. If you are excited about what we’re building but don't meet some of the criteria above, please don’t let that discourage you from applying
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