AI Research Scientist (Remote |

Synthires; Alaska; Remote; USD 110,000 - 193,000; Full time

Benefits offered by this job

Remote work

Flexible schedule

Job summary

Synthires is seeking an AI Research Scientist for a fully remote contractor role. You will design and refine machine learning models using Python and leading ML frameworks, handle large datasets in MongoDB, and contribute to end-to-end training and evaluation pipelines.

Ideal candidates will have hands-on experience with scikit-learn, TensorFlow or PyTorch, strong analytics, and excellent documentation skills. Remote work with flexible engagement terms is offered.

Qualifications

• Professional experience as a Machine Learning Engineer, ML Developer, Data Scientist, or similar role.
• Strong proficiency in Python and machine learning development.
• Hands-on experience with ML frameworks such as scikit-learn, TensorFlow, or PyTorch.
• Practical experience using MongoDB for data management and retrieval.
• Strong understanding of ML algorithms, model evaluation, and data preprocessing.
• Experience with feature engineering, hyperparameter tuning, and model benchmarking.
• Strong analytical and problem-solving abilities.
• Excellent written communication and technical documentation skills.
• Ability to work independently and in a remote environment.

Responsibilities

• Design, develop, and refine ML models using Python and relevant ML frameworks.
• Analyze large datasets for model training, validation, and evaluation.
• Use MongoDB for data storage, manipulation, querying, and retrieval.
• Develop and maintain data preprocessing and feature engineering pipelines.
• Evaluate model performance using appropriate metrics and validation techniques.
• Perform hyperparameter tuning and iterative model optimization.
• Collaborate with cross-functional teams to identify opportunities for model and workflow improvements.
• Integrate data pipelines into training and inference workflows.
• Document experiments, methodologies, results, and technical decisions for reproducibility.
• Provide actionable insights and recommendations from ML and data-driven findings.

Skills

Python

Machine learning

Data analysis

Model development

MongoDB

Documentation

Tools

scikit-learn

TensorFlow

PyTorch

Job description

AI Research Scientist (Remote | $60-$120/hr)

Description:

Machine Learning EngineerPosition:Machine Learning EngineerType:Hourly ContractCompensation:$80–$140/hourLocation:RemoteAbout the OpportunityThis opportunity is for experiencedMachine Learning Engineerswith expertise inPython, machine learning, data analysis, model development, and MongoDBto contribute to advancedAI training and evaluation projects .You'll apply your technical expertise to design and refine machine learning solutions, analyze datasets, evaluate model performance, and develop reliable workflows that support the training and deployment ofnext-generation AI systems .

Responsibilities

• Design, develop, and refinemachine learning modelsusing Python and relevant ML frameworks.
• Analyze and processlarge datasetsfor model training, validation, and evaluation.
• UseMongoDBfor efficient data storage, manipulation, querying, and retrieval.
• Develop and maintaindata preprocessing and feature engineering pipelines .
• Evaluate model performance using appropriatemetrics, benchmarking, and validation techniques .
• Performhyperparameter tuningand iterative model optimization.
• Collaborate with cross-functional teams to identify opportunities formodel and workflow improvements .
• Integrate data pipelines intotraining and inference workflows .
• Document experiments, methodologies, results, and technical decisions to ensurereproducibility .
• Provide actionable insights and recommendations based onmachine learning and data-driven findings .

Required Qualifications

• Professional experience working as aMachine Learning Engineer, ML Developer, Data Scientist, or similar role .
• Strong proficiency inPythonand machine learning development.
• Hands‑on experience with machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch .
• Practical experience usingMongoDBfor data management and retrieval.
• Strong understanding of machine learning algorithms, model evaluation, and data preprocessing .
• Experience with feature engineering, hyperparameter tuning, and model benchmarking .
• Strong analytical and problem-solving abilities.
• Excellent written communication and technical documentation skills.
• Ability to work independently and collaborate effectively in aremote environment .

Preferred Qualifications

• Experience deploying or operationalizing machine learning models in cloud or enterprise environments.
• Familiarity with ML pipelines, model serving, and inference workflows .
• Experience working with large-scale datasets and production ML systems.
• Knowledge of MLOps, model monitoring, or automated ML workflows .
• Experience contributing to AI training, model evaluation, or data-quality initiatives .
• Strong understanding of scalable data and machine learning architectures.
• Ability to adapt quickly to evolving technical requirements and project priorities.

CompensationCompetitive compensation of $80–$140/hour.Hourly contract engagement.Fully remote with flexible working arrangements.Opportunity to contribute tonext-generation AI training and evaluation projects .