Senior Data Scientist + Machine Learning Engineer
Neo.Tax · Remote · Neo.Tax HQ (Remote, Pacific Time Zone) ·
COMPENSATION
$190k – $210k
Listed on the employer's job board (Ashby)
- Senior level role
- Fully remote position
- Python + PyTorch
- LLM & RAG focus
- Equity included
Join Neo.Tax to automate complex accounting workflows using machine learning and large language models. You will transform ambiguous business problems into robust production solutions, handling everything from data foundations to model serving and monitoring.
The team values high ownership and pragmatic problem-solving. You will collaborate closely with engineering and product teams to ship measurable improvements that directly impact customer outcomes and revenue.
What you'll do
- Own ML projects from prototype to production, defining success metrics and baselines
- Build models for classification, entity resolution, clustering, and anomaly detection
- Design and evaluate LLM pipelines including prompt engineering and tool calling
- Establish data foundations, labeling strategies, and quality checks
- Operate training and inference pipelines with monitoring for latency and cost
- Collaborate with engineering on scalability, reliability, and model serving
- Translate customer pain points into technical ML deliverables
What you'll need
- MS or PhD in Computer Science, Statistics, Mathematics, or related field
- 6+ years of industry experience shipping ML models to production
- Strong proficiency in Python, NumPy, Pandas, and scikit-learn
- Experience with PyTorch or TensorFlow frameworks
- Solid understanding of statistical modeling, A/B testing, and evaluation metrics
- Proficiency in SQL and building data pipelines with relational databases
- Experience deploying and maintaining batch or real-time models in production
- Ability to design solutions independently without relying on AI tools
Nice to have
- Experience with information extraction and document understanding
- Knowledge of distributed data processing using Spark or Beam
- Familiarity with GCP, AWS, or Azure cloud platforms
- Background in early-stage venture-backed startups
- Experience with LLM evaluation, synthetic data, or RAG systems
Stack
- Python
- NumPy
- Pandas
- scikit-learn
- PyTorch
- TensorFlow
- SQL
- Spark
- Beam
- GCP
- AWS
- Azure
How you'll work
- Fully remote work option available
- Preference for time zones overlapping with San Francisco HQ
- Small team of four full-time and one part-time member
- Asynchronous communication via Slack and Linear
- Daily collaboration with product and engineering teams
What you get
- Salary range between $190,000 and $210,000
- Stock option plan with equity participation
- Health care plans with 90% coverage for individual and family
- Health and wellness subsidy provided
- Retirement plan with 401k options
- Paid time off including vacation, sick leave, and holidays
- Maternity and paternity family leave policies