Full-Time

Sr. Machine Learning Engineer

Alternatives Data Management

Posted on 5/11/2024

Addepar

Addepar

501-1,000 employees

Data aggregation platform for investment professionals

Data & Analytics
Fintech

Senior

Remote in USA

Required Skills
Python
Tensorflow
R
Pytorch
AWS
Natural Language Processing (NLP)
Data Analysis
Requirements
  • Proficiency with machine learning methodologies
  • Good knowledge of hosted and open source ML services like AWS SageMaker, Google Cloud ML, TensorFlow, Pytorch or others
  • Experience with methods and tools (Textract, ABBYY) for extracting relationships, structure and text from documents and/or general natural language processing skills
  • Proficiency in Python, R or other programming languages
  • Experience working with Relational or NoSQL database storage
  • Ability to communicate with all levels of collaborators on a technical level
  • A strong ownership mentality and aim to take on the most ambitious problems
  • AWS experience is a plus
  • B.S., M.S., or Ph.D. in Computer Science or similar technical field of study (or equivalent practical experience.)
Responsibilities
  • Design, build and train supervised and unsupervised machine learning models
  • Design and evolve machine learning pipeline for applications across the stack
  • Optimize machine learning and relevant data processing code for scale and robustness
  • Document software functionality, system design, and project plans; this includes clean, readable code with comments.

Addepar

Company Stage

Series F

Total Funding

$1.6B

Headquarters

Mountain View, California

Founded

2009

Growth & Insights
Headcount

6 month growth

5%

1 year growth

10%

2 year growth

35%

Benefits

Equity: Stretch the idea of ownership beyond your day-to-day and take pride in being an owner in the growth of Addepar

Global Hybrid Workforce: Whether you work remotely or on-site, you’ll have the opportunity to build and collaborate with colleagues around the world

Flexible Time Off: Spend time traveling, celebrating with friends and family or relax on your schedule

Benefits Packages: Competitive medical, dental and vision benefits along with a monthly wellness allowance to keep you healthy and happy

Learning & Development Allowance: Your continued growth and development are important to us

Dynamic Team: Strong investment in the best talent at the intersection of technology and finance