Parallel ยท 8 hours ago
Machine Learning Engineer
United States
Full-time
Remote
Senior Level
$150K/yr - $150K/yr
5+ years expTie is building the next generation of identity resolution and marketing intelligence. They are seeking a Senior AI / Machine Learning Engineer to design, build, and deploy production ML systems that are integral to their identity graph and scoring platform.
Responsibilities
Design and deploy production-grade ML models for identity resolution, propensity scoring, deliverability, and personalization
Build and maintain feature pipelines across batch and real-time systems (BigQuery, streaming events, graph-derived features)
Develop and optimize classification models (e.g., XGBoost, logistic regression) with strong handling of class imbalance and noisy labels
Integrate ML models directly with graph databases to support real-time inference and identity scoring
Own model lifecycle concerns: evaluation, monitoring, drift detection, retraining, and performance reporting
Partner with engineering to expose models via low-latency APIs and scalable services
Contribute to GPU-accelerated and large-scale data processing efforts as we push graph computation from hours to minutes
Help shape ML best practices, tooling, and standards across the team
Qualification
Required
5+ years of experience building and deploying machine learning systems in production
Strong proficiency in Python for ML, data processing, and model serving
Hands-on experience with feature engineering, model training, and evaluation for real-world datasets
Experience deploying ML models via APIs or services (e.g., FastAPI, containers, Kubernetes)
Solid understanding of data modeling, SQL, and analytical workflows
Experience working in a cloud environment (GCP, AWS, or equivalent)
Preferred
Experience with graph data, graph databases, or graph-based ML
Familiarity with Neo4j, Cypher, or graph algorithms (community detection, entity resolution)
Experience with XGBoost, tree-based models, or similar classical ML approaches
Exposure to real-time or streaming systems (Kafka, Pub/Sub, event-driven architectures)
Experience with MLOps tooling and practices (CI/CD for ML, monitoring, retraining pipelines)
GPU or large-scale data processing experience (e.g., RAPIDS, CUDA, Spark, or similar)
Domain experience in identity resolution, marketing technology, or email deliverability
Benefits
Competitive compensation, including salary, equity, and performance incentives
Company
Parallel
Modern hiring software for everyone
2-10 employees
H1B Sponsorship
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Trends of Total Sponsorships
2024 (3)
2023 (1)
2020 (1)
Funding
Current Stage
Early StageCompany data provided by crunchbase