Sr. Machine Learning Engineer
Description For Sr. Machine Learning Engineer
Acorns, a leading fintech company revolutionizing consumer finance through micro-investing, is seeking a Senior Machine Learning Engineer to drive innovation in their AI initiatives. This role combines cutting-edge machine learning technology with practical fintech applications, focusing on LLM training and retrieval-augmented generation (RAG) mechanisms.
The position offers a unique opportunity to shape the future of financial technology while working with state-of-the-art ML tools and frameworks. You'll be joining a mission-driven company that has helped customers invest over $15 billion, making wealth-building accessible to over 10 million everyday Americans.
As a Senior ML Engineer, you'll lead critical projects from inception to production, working with technologies like Hugging Face, PyTorch, and various cloud computing platforms. The role demands both technical expertise and leadership skills, as you'll be expected to mentor team members and collaborate across departments to align ML capabilities with business objectives.
The company offers a comprehensive benefits package, including competitive salary, equity, flexible work arrangements, and various wellness programs. Acorns' culture is built on strong values: Leading with Heart, Making Bold Decisions, Building Trust, Continuous Growth, and Finding a Way.
This is an excellent opportunity for an experienced ML engineer who wants to make a significant impact in fintech while working with cutting-edge AI technologies. The role offers the flexibility of remote work or office locations in Irvine, CA, or New York, NY, with a salary range of $180,026 to $210,000 plus additional benefits and equity compensation.
Responsibilities For Sr. Machine Learning Engineer
- Lead innovation in LLM training and serving methodologies
- Design, train, and fine-tune machine learning models
- Develop data pipelines for fintech domain challenges
- Optimize model architectures for performance and efficiency
- Integrate retrieval-augmented generation (RAG) mechanisms
- Collaborate with cross-functional teams
- Mentor junior team members
- Develop ML innovation roadmap aligned with company objectives
- Establish scalable MLOps processes
Requirements For Sr. Machine Learning Engineer
- Bachelor's Degree in Computer Science, Software Engineering, Data Science, Statistics, or STEM-related field
- 5+ years of total software engineering experience
- 3+ years of experience in artificial intelligence, data science, or machine learning engineering
- 3+ years of experience with modern cloud computing technologies
- Foundational knowledge with Generative AI, Transformer, fine tuning LLM, RAG improvement
- Experience tuning neural networks on custom datasets
- Experience with Huggingface, LangChain, chatbot development
- Proficiency in Python, PyTorch, Pandas, NumPy, SciKit-Learn, Matplotlib
Benefits For Sr. Machine Learning Engineer
- Competitive salary and stock options
- Comprehensive benefits package
- Flexible work hours and paid time off
- 401k discretionary match
- Monthly Acorns account contribution
- Wellness Days - Company-wide quarterly days off
- Mindfulness and Mental Health resources
- Career Development Program
- Roots Leadership Program
