WireScreen
Machine Learning Engineer
New York, NY
Sponsorship not specifiedDetected 26 days ago
PythonFastAPIAlgorithmsSQLDockerKubernetesTerraformTemporalMachine Learningscikit-learnNumPyNLPComputer VisionLLMsAgentic AIResearch
About the role
- As a Machine Learning Engineer at WireScreen, you will be working across our data systems to unlock the source of truth behind one of the world's economic powerhouses: China.
- These systems are the cornerstones that uncover hidden connections within the Chinese economy.
- You will be contributing to our existing MCP servers and agentic pipelines to classify, cluster and enrich across millions of entities.
Responsibilities
- Work with Product to define and implement evaluation harnesses for classical ML and agentic systems
- Build agent workflows into internal tools to improve the scale and speed of our Research team
- Experience working with Frontier/SOTA models and/or fine-tuning your own LLMs for specific tasks
- This role is critical to building models that support the two fundamental pieces of our business: entity resolution and our knowledge graph.
Requirements
- Significant experience with python programming and SQL
Nice to have
- Experience with any of the following
- Experience with any of the following technologies: PySpark, Temporal, FastAPI, Scikit-learn, NumPy, Docker, Terraform, Kubernetes
- At WireScreen, you'll do high-impact work that helps shape the global economy and power competition.
- We're a mission-driven team with a growth mindset-curious, collaborative, and unafraid to take on bold challenges.
- You'll be empowered to act, heard when you speak, and supported as you grow.
- 4+ years of experience working on clustering-type ML problems, ideally in the domain of knowledge graphs / entity resolution, but other domains could include
- recommendation engines, cohort analysis, outlier/anomaly detection
Skills
- Early-stage startup experience (Series B or earlier)
- B2B SaaS experience
- PySpark, Temporal, FastAPI, Scikit-learn, NumPy, Docker, Terraform, Kubernetes
- Here's how we take care of our employees:
- Competitive compensation including salary, equity, and rapid growth potential
- 100% company-paid Medical, Dental, and Vision coverage for employees
- FSA, HSA, and 401(k) options to help you plan for healthcare expenses and retirement
- Generous paid time off plus company-wide holidays to help you rest and recharge
- Pre-tax commuter benefits to help you save on transit and parking
Compensation
- Competitive compensation including salary, equity, and rapid growth potential
Benefits
- End-to-end machine learning model experience in production
- Model families could include clustering, classification/regression, dimensionality reduction and embeddings, nearest-neighbor/similarity methods (e.g. KNN, SVM), ensembles, NLP, and deep learning.
- Working on problems across large, heterogeneous, messy unstructured datasets and/or with semantic search, computer vision (especially OCR), or linear optimization problems
Company info
- At WireScreen, we care deeply about our team and are committed to supporting your well-being-both in and out of the workplace.
Apply directly at WireScreen →Create a free account for alerts like thisView WireScreen immigration profile
This listing is sourced directly from WireScreen's careers page and normalized into a canonical job model.