Augment Jobs

Machine Learning Engineer

Augment Jobs Austin, TX

Overview: We are seeking a skilled and motivated Machine Learning Engineer to join our team. As a Machine Learning Engineer, you will be responsible for designing, implementing, and deploying machine learning models and systems. You will work closely with data scientists, software engineers, and cross-functional teams to build scalable and efficient machine learning pipelines that drive business insights and enhance our products. This role requires strong programming skills, expertise in machine learning algorithms, and the ability to translate data science prototypes into production-ready solutions.

Roles And Responsibilities

  • Machine Learning Development:
    • Develop and implement machine learning models and algorithms for various applications, such as classification, regression, clustering, and recommendation systems.
    • Collaborate with data scientists to preprocess data, feature engineering, and model selection.
    • Optimize models for performance, scalability, and deployment in production environments.
  • Infrastructure and Tooling:
    • Build and maintain scalable machine learning infrastructure and pipelines for data processing, model training, evaluation, and deployment.
    • Implement monitoring and logging systems to ensure model performance and reliability.
  • Collaboration and Integration:
    • Work closely with software engineers to integrate machine learning models into production systems and applications.
    • Collaborate with cross-functional teams (including data scientists, product managers, and business stakeholders) to understand requirements and deliver effective solutions.
  • Experimentation and Evaluation:
    • Design and conduct experiments to evaluate model performance and iterate on improvements.
    • Implement A/B testing frameworks to validate the effectiveness of machine learning models and algorithms.
  • Documentation and Communication:
    • Document code, models, and processes to ensure reproducibility and maintainability.
    • Present findings and insights to technical and non-technical stakeholders, explaining complex concepts in an understandable manner.
Skills And Qualifications

  • Proven experience as a Machine Learning Engineer or similar role, with a strong background in machine learning, statistics, and software development.
  • Proficiency in programming languages such as Python, Java, or Scala, and familiarity with machine learning libraries/frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
  • Experience with building and deploying machine learning pipelines in cloud environments (e.g., AWS, Azure, GCP).
  • Solid understanding of data structures, algorithms, and distributed computing principles.
  • Knowledge of software engineering best practices (e.g., version control, testing, code reviews) and agile development methodologies.

Education And Experience

  • Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.
  • Demonstrated experience in developing and deploying machine learning solutions in real-world applications.
  • Relevant certifications (e.g., AWS Certified Machine Learning Specialty, Google Cloud Professional Machine Learning Engineer) are advantageous.

Compensation

  • The compensation package includes a competitive base salary commensurate with experience and qualifications.
  • Additional benefits such as performance bonuses, stock options, and healthcare coverage will be provided.
  • The exact compensation will be determined based on the candidate's expertise and alignment with the company's strategic goals.

Company Culture

Our company fosters a collaborative and innovative environment where teamwork and creativity thrive. We value diversity and inclusivity and provide opportunities for continuous learning and professional growth. The Machine Learning Engineer will have the opportunity to make a significant impact by leveraging machine learning to solve complex problems and drive innovation.

Application Process

Interested candidates are encouraged to submit a resume and cover letter outlining their qualifications and interest in the position. We welcome applicants who are passionate about machine learning, software engineering, and building scalable solutions that deliver business value.

This job description outlines the key responsibilities, required skills, and compensation details for the Machine Learning Engineer position, aiming to attract qualified candidates who can design, implement, and deploy machine learning models and systems effectively to drive business insights and enhance products.
  • Seniority level

    Entry level
  • Employment type

    Full-time
  • Job function

    Engineering and Information Technology
  • Industries

    IT Services and IT Consulting

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