Applied AI Engineer
Member of Technical Staff building production speech and language models for voice AI agents in financial services. Own core modeling, evals, and deployment on a small team with high autonomy and real revenue impact.
Machine Learning Engineer
Build and deploy large-scale ML retrieval, ranking, and recommendation systems. Requires a Master's degree and 2+ years of experience with Python/Java, Spark/Kafka, Kubernetes, TensorFlow/PyTorch, and cloud platforms.
223k – 260kNew York, NYML EngineeringHybrid2+ YOE
About the role
Job Duties
- Build ads retrieval and early ranking system for critical ML tasks with advanced industrial level techniques.
- Research, implement, test, and launch new model architectures including information retrieval, ANN, recommendation system, deep neural networks within high dimensional information system.
- Work on large-scale data systems, data pipelines and system engineering on large-scale dataset, backend services and product integration.
- Collaborate closely with multiple stakeholders across product, engineering, research and marketing.
- Train, evaluate, test, and deploy machine learning models.
Minimum Requirements
- Master’s degree in Data Science, Computer Science or closely related quantitative discipline, and 2 years of experience in the job offered or in any occupation in related field.
Special Skill Requirements
- Java, Python, Scala, or C++
- Data processing frameworks (Spark and Kafka)
- Cloud service provider (AWS or GCP)
- Container Orchestration (Kubernetes)
- CI/CD tooling (Drone, CircleCI, and Spinnaker)
- Machine Learning modeling framework (Tensorflow and PyTorch)
- Machine Learning deployment
- Model training pipeline (Kubeflow and Ray)
- Jupyter notebook
- Data analysis and reading dashboards
- DNN frameworks
- Airflow pipelines
- SQL and Big Query
Benefits
- Comprehensive Healthcare Benefits and Income Replacement Programs
- 401k with Employer Match
- Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
- Family Planning Support
- Gender-Affirming Care
- Mental Health & Coaching Benefits
- Flexible Vacation & Paid Volunteer Time Off
- Generous Paid Parental Leave
Skills
PythonJavaScalaC++SparkKafkaAWSGCPKubernetesTensorFlowPyTorchKubeflowRayAirflowSQL
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