Senior Machine Learning Engineer at Prove

United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

TechnologyIndustries

Requirements

5-7+ years of professional experience in ML engineering, software engineering, or related roles
Bachelor’s or Master’s in Computer Science, Engineering, or related field (Bachelor’s required; Master’s preferred)
Strong programming skills in Python (with libraries such as scikit-learn, TensorFlow, or PyTorch), Java, and/or Go
Hands-on experience building APIs and services (e.g., FastAPI, Flask, gRPC)
Expertise with containerization & orchestration (Docker, Kubernetes)
Familiarity with CI/CD pipelines and modern MLOps tools (MLflow, Airflow, Kubeflow, SageMaker, or similar)
Strong understanding of cloud platforms (AWS)
Solid background in data pipelines, distributed systems, and performance optimization
Strong collaboration and communication skills

Responsibilities

Collaborate with data scientists to transform research models into production-ready services
Design, build, and maintain APIs and microservices to serve ML models at scale
Ensure smooth integration of ML solutions into core products and platforms
Optimize inference performance, latency, and scalability
Build monitoring, logging, and alerting systems to track model performance and data drift
Implement retraining pipelines and automated workflows for continuous improvement
Develop CI/CD pipelines for machine learning workflows
Use modern DevOps/MLOps practices to ensure reproducibility and reliability
Partner with software engineers to design robust data and compute infrastructure
Work closely with cross-functional teams to align model capabilities with business needs
Mentor junior engineers and contribute to best practices in ML engineering
Advocate for scalable, sustainable ML deployment strategies across the organization

Skills

Machine Learning

MLOps

Software Engineering

APIs

Model Deployment

Monitoring

Scalable Systems

Data Science

Prove

Identity verification and authentication solutions

About Prove

Prove specializes in identity verification and authentication services, primarily serving clients in the financial sector. Its solutions are designed to secure transactions across various platforms, including mobile, desktop, call centers, and chat services. Prove's products work by utilizing a privacy-first approach that incorporates decentralized data architecture and identity tokenization, ensuring that user consent is prioritized and data aggregation is minimized. This focus on security and privacy sets Prove apart from its competitors, as it has built a reputation as a trusted partner for major financial institutions. The company's goal is to provide scalable and effective authentication solutions that enhance security for over 1,000 enterprise customers and 500 banks globally, while also maintaining a commitment to user privacy.

New York City, New YorkHeadquarters

2008Year Founded

$245.2MTotal Funding

LATE_VCCompany Stage

Fintech, Cybersecurity, Financial ServicesIndustries

1-10Employees

Benefits

Dental, Vision, Health, & Life Insurance

Well-Being Reimbursement

401K / Retirement Plan

PTO / Vacation Policy

Paid Holidays

Maternity / Paternity Leave

Risks

Generative AI intensifies threats like scraping and fraud, challenging Prove's API solutions.

Deepfake technology threatens trust in Prove's phone-based authentication methods.

EU's eIDAS 2.0 regulation may increase Prove's operational costs to meet compliance.

Differentiation

Prove specializes in phone-centric identity verification, enhancing security and consumer privacy.

Prove's decentralized data architecture limits data aggregation, emphasizing a privacy-first approach.

Prove serves 9 of the top 10 US financial institutions, showcasing its industry leadership.

Upsides

Prove's self-service platform simplifies identity verification, improving customer experience and reducing fraud.

The rise of digital wallets increases demand for Prove's secure digital identity solutions.

Prove's expertise in phone-based authentication addresses the growing threat of business identity theft.

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