MLE

Sandbar

$120K — $145K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in computer science, engineering, data science, or machine learning.
  • 2 years as a machine learning engineer with hands-on experience.
  • Built and deployed ML-based applications, focusing on data curation and model training.
  • Research and development of applications using large language models like OpenAI GPT or Anthropic Claude.
  • Proficient in Python programming for developing ML applications.
  • Experience with real-time ML applications, such as speech-to-text and vision-language models.
  • Prior work in at least one startup, preferably as a founding engineer.

Responsibilities

  • Develop software and machine learning algorithms for human-computer interface products.
  • Design system architectures using large language models for various tasks.
  • Analyze and optimize machine learning model performance using data science methods.
  • Optimize systems for latency, reliability, and cost efficiency.
  • Utilize statistical methods to enhance model accuracy and performance.

Benefits

  • Health, vision, and dental benefits.
  • Company-sponsored 401(k) plan.
  • Unlimited paid time off and sick leave.
  • Opportunity for early stage equity.
Full Job Description
RESPONSIBILITIES: This role involves developing software and machine learning algorithms for use in human computer interface products. This includes designing system architectures involving large language models for conversational, information retrieval, and digital automation tasks. This also includes utilizing data science and statistical methods to analyze and optimize machine learning model performance across tasks. Lastly, this includes optimizing the aforementioned systems for latency, reliability, and cost. Telecommuting permitted. 3x/week in office required.

REQUIREMENTS: Requires a bachelor's degree in computer science, engineering, data science or machine learning plus 2 years of experience as a machine learning engineer. Must also possess: 2 years building & deploying ML-based applications, including data curation and model training; 2 years of experience researching and developing applications based on large language models such as OpenAI GPT models or Anthropic Claude models, and open source models such as Meta Llama models; 2 years of experience in quantitative analysis based on data science; 2 years of experience in Python programming language; 2 years of experience building real-time applications utilizing ML models, such as real-time voice conversation via speech-to-text models, real-time image processing utilizing vision-language models, or other real-time ML-based systems in a professional context for internal tools or external products; 1 year of experience with AWS or GCP; 1 year of experience with Docker, TorchServe, AWS Lambda, or SageMaker; 1 year of experience developing retrieval augmented generation systems to improve the accuracy of information retrieval in applications utilizing large language models in a professional context for internal tools or external products; and prior experience in at least 1 startup-stage company (founding engineer to Series A company). Must be able to successfully complete competency-based interviews

FTE Benefits
  • Health, vision, and dental benefits
  • Company-sponsored 401(k)
  • Unlimited PTO and sick time
  • Early stage equity

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