200+ applicants

Company

Socure · 3 hours ago

Senior Machine Learning Engineer

United States

Full-time

Remote

Mid, Senior Level

$160K/yr - $190K/yr

3+ years exp

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Artificial Intelligence (AI)Cyber Security

H1B Sponsor Likely

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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-learnDockerKubernetesFeature EngineeringDynamoDBSnowflakeRedshiftApache SparkApache KafkaApache AirflowAWSTerraformCI/CDMonitoring ToolsGrafanaPrometheusData EngineeringData Science

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

Glassdoor

2.5

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

Founded in 2012

Incline Village, Nevada, USA

501-1,000 employees

http://www.socure.com

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

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Trends of Total Sponsorships

2023 (19)

2022 (24)

2021 (35)

2020 (8)