Senior Machine Learning Engineer @ Socure | Jobright.ai
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Socure · 5 hours ago

Senior Machine Learning Engineer

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Responsibilities

Develop feature engineering strategies and solutions to support machine learning models
Design and implement robust and scalable systems for efficient model inference
Build and maintain infrastructure supporting feature engineering, model serving, Gen-AI agents, and related components across the machine learning lifecycle
Contribute to the development and enhancement of a comprehensive feature platform to streamline and optimize feature creation and management
Demonstrate best practices in version control and continuous integration / delivery
Own and drive initiatives from conception to deployment and monitoring
Collaborate with data scientists, engineers, product managers, and other key stakeholders in a fast-paced cross-functional environment

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Machine LearningDeep LearningMLOpsTensorFlowPyTorchScikit-learnDockerKubernetesAWSApache SparkApache KafkaApache AirflowFeature EngineeringData EngineeringCI/CD PipelinesMonitoring ToolsGrafanaPrometheus

Required

3+ years of experience building and maintaining production-quality software systems
Background in software engineering, data engineering, MLOps, data science, or research
Experience with popular ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
Experience with containerization (e.g., Docker) and/or container-orchestration systems (e.g., Kubernetes, Argo CD)
Proficiency in deep learning/machine learning deployment and inference systems
Familiarity with ML engineering best practices and readiness to work in a fast-paced, dynamic environment
Experience with databases and/or data warehouses (e.g., DynamoDB, Snowflake or Redshift)
Experience with distributed data processing and streaming frameworks (e.g., Apache Spark, Apache Kafka)
Experience with workflow orchestration tools (e.g., Apache Airflow)
Ability to develop user-centric solutions and effectively translate stakeholder needs into technical requirements
Experience with cloud platforms (experience with AWS and/or Terraform is a plus)

Preferred

Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field
Experience with advanced feature engineering and feature store platforms
Knowledge of security best practices in ML deployment and data handling
Experience with CI/CD pipelines specifically tailored for ML applications
Proficiency in optimizing for latency, scalability, and high availability in production environments
Strong design skills for developing effective and efficient ML systems
Hands-on experience with monitoring and observability tools for ML systems (e.g., Prometheus, Grafana)
Strong communication skills for collaborating with non-technical stakeholders
Ability to contribute to and foster a positive team culture

Benefits

Equity
Comprehensive benefits
Commissions plans or an annual discretionary performance bonus

Company

Socure is a predictive analytics platform for digital identity verification of consumers.

H1B Sponsorship

Socure has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (19)
2022 (24)
2021 (35)
2020 (8)

Funding

Current Stage
Late Stage
Total Funding
$744.4M
Key Investors
Capital One VenturesAccelSorenson Ventures
2023-03-08Debt Financing· $95M
2021-11-09Series E· $450M
2021-06-03Series Unknown

Leadership Team

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Johnny Ayers
Founder, President, and CEO
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Aaron Barfoot
Chief Financial Officer
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Company data provided by crunchbase
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