Senior · Staff · Principal Machine Learning Engineer

Posted 2 Days Ago
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New York, NY, USA
In-Office
Senior level
Agency • Digital Media • Design
The Role
Design, implement, and optimize ML and deep learning models; preprocess and prepare large datasets; integrate models into production; monitor and maintain model performance; collaborate with engineers and stakeholders; stay current on ML/AI advances.
Summary Generated by Built In

Senior / Staff / Principal Machine Learning Engineer

Location: Onsite New York (5 days onsite AND hybrid options)

We have multiple startups interested in talent. Here is a generic summary. Instead of a perfect job description, we present talented individuals to companies and allow them to share how that talent fits in the organization. 

Key Responsibilities:

  • Model Development:
    Designing and implementing ML algorithms and models, including deep learning models.

  • Data Handling:
    Preprocessing, analyzing, and preparing large datasets for model training and evaluation.

  • System Integration:
    Collaborating with software engineers to integrate ML models into production systems.

  • Performance Optimization:
    Continuously improving and optimizing ML models for accuracy, efficiency, and scalability.

  • Monitoring and Maintenance:
    Monitoring model performance in production, troubleshooting issues, and ensuring model reliability.

  • Staying Updated:
    Keeping abreast of the latest advancements in ML, AI, and related technologies.

  • Collaboration:
    Working with data scientists, software engineers, and other stakeholders to deliver effective ML solutions.

Essential Skills:

  • Programming Languages: Strong proficiency in Python, R, or other relevant languages.

  • ML Frameworks: Experience with frameworks like TensorFlow, PyTorch, or scikit-learn.

  • Data Science Fundamentals: Solid understanding of statistical analysis, data modeling, and machine learning algorithms.

  • Problem-Solving: Excellent analytical and problem-solving skills to address complex challenges.

  • Communication: Effective communication skills to convey technical information to both technical and non-technical audiences.

  • Collaboration: Ability to work effectively in a team environment.

Education and Experience:

  • A bachelor's or master's degree in computer science, engineering, mathematics, statistics, or a related field is typically required.

  • Several years of experience in machine learning, data science, or software development is often preferred.

Compensation: Market range and can include equity – details can be provided after the specific client is determined.  

Skills Required

  • Proficiency in Python, R, or other relevant programming languages
  • Experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn
  • Designing and implementing machine learning and deep learning models
  • Preprocessing, analyzing, and preparing large datasets for training and evaluation
  • Integrating ML models into production systems and collaborating with software engineers
  • Monitoring and troubleshooting model performance in production
  • Solid understanding of statistical analysis, data modeling, and machine learning algorithms
  • Strong analytical problem-solving skills
  • Effective communication skills for technical and non-technical audiences
  • Bachelor's or Master's degree in computer science, engineering, mathematics, statistics, or related field
  • Several years of experience in machine learning, data science, or software development
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The Company
89 Employees
Year Founded: 1979

What We Do

LAI Video is an Emmy-Winning, full-service creative agency based in Washington, DC, that specializes in delivering powerful video-driven campaigns and strategic storytelling to drive real behavior change. They turn messages into high-converting campaigns through values-based research and integrated marketing strategies, helping organizations connect with their audience through a combination of high-quality video production and precision-targeted digital ad solutions.

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