Machine Learning Engineer
Required Skills
Tensorflow
Scikit-Learn
Data Preprocessing
About micro1
micro1 is a data engine that helps AI labs train foundational models and enterprises build AI agents. We provide frontier evaluations and reinforcement learning environments used to improve LLM capabilities, as well as contextual evaluations used to monitor and improve AI agents in enterprise settings. Our data engine includes an AI recruiter agent that sources and vets domain experts, a data platform that enables rapid production of high-quality training data, and a pipeline performance system that ensures both quality and velocity.
Our goal is to have 1 billion people doing meaningful work by contributing their expertise to the development of frontier AI models. We’ve raised $40M+ in funding, and our AI recruiter has powered more than 1 million AI-led interviews as our global network of experts expands to form the human intelligence layer for AGI.
Job Description
Job Title: Machine Learning Engineer
Job Type: Contractor (Full time or part time)
Location: Remote
Job Summary:
Join our customer's team as an expert Machine Learning Engineer, where you will leverage your advanced technical skills to design, develop, and optimize state-of-the-art machine learning models. You will play a pivotal role in solving complex data challenges, collaborating closely with cross-functional stakeholders, and driving impactful results in a fully remote environment.
Key Responsibilities:
- Develop, train, and deploy machine learning models using TensorFlow and Scikit-Learn to address real-world business problems.
- Conduct comprehensive data preprocessing, including data cleaning, transformation, and feature engineering to ensure high-quality inputs for model development.
- Collaborate with data scientists, data engineers, and business analysts to understand requirements and translate them into scalable ML solutions.
- Continuously monitor, evaluate, and refine model performance to ensure accuracy, efficiency, and reliability in production environments.
- Document model development processes and proactively communicate technical concepts and results with both technical and non-technical team members.
- Stay abreast of the latest research and advancements in machine learning and apply innovative techniques to enhance project outcomes.
- Contribute to a culture of knowledge sharing, mentorship, and continuous improvement within the customer's team.
Required Skills and Qualifications:
- Expert-level proficiency in TensorFlow and Scikit-Learn for end-to-end model development and deployment.
- Strong background in data preprocessing, including handling missing values, outlier detection, and feature selection.
- Excellent written and verbal communication skills, with the ability to convey complex technical information clearly.
- Demonstrated experience in designing and implementing production-ready machine learning systems.
- Solid understanding of algorithm selection, model evaluation metrics, and performance tuning.
- Ability to work independently and remotely, delivering results in a fast-paced, deadline-driven environment.
- Detail-oriented with exceptional problem-solving and analytical skills.