Computer Vision/ Machine Learning Engineer

KellyMitchell Group; Santa Monica (CA); Hybrid; USD 87,000 - 124,000; Part time

Benefits offered by this job

Medical, Dental, & Vision Insurance

Employee Stock Ownership Plan

401K offered

Job summary

KellyMitchell Group is seeking a Senior Machine Learning Engineer in Santa Monica, CA to join the segmentation data science team on a contract basis. You will design and deploy ML models for content classification and segmentation, leveraging Python, pandas, SQL, and Spark to build scalable data products that inform decisions for millions of viewers worldwide.

This hands-on role requires deep ML expertise, strong software practices, and the ability to take ideas from data exploration through

Qualifications

• Bachelor's degree in a quantitative field and 5+ years of ML production experience.
• Strong Python proficiency with hands-on pandas and scikit-learn for data prep.
• Experience with multi-class and/or multi-label classification and NLP.
• Ability to translate requirements into practical ML solutions and document results.

Responsibilities

• Design, develop, and deploy ML classifiers for content classification and segmentation.
• Prepare datasets with Python, pandas, SQL, Spark; build feature pipelines.
• Train, evaluate, and tune models using cross-validation and hyperparameter optimization.
• Collaborate with data scientists, engineers, and stakeholders to deliver production-ready solutions.

Skills

Python

Pandas

Scikit-learn

SQL

NLP

Feature engineering

Model evaluation

Hyperparameter tuning

Communication

Cross-functional collaboration

Education

Bachelor's degree in a quantitative field

Tools

Pandas

scikit-learn

SQL

Spark

Job description

Job Summary

Our client, a leading media & entertainment provider, is seeking a Senior Machine Learning Engineer to join its segmentation data science team. You will leverage data, statistical methods, and machine learning to generate model outputs, predictions, and scalable solutions that inform critical decisions and shape the experiences of millions of viewers worldwide. Through model development, analysis, experimentation, and data products, you will build capabilities that are continuously refined through close collaboration with cross-functional stakeholders. As a Senior Machine Learning contractor on the segmentation data science team, you will develop machine learning solutions for content classification and segmentation. You will work with large-scale content metadata and related data to develop features, train and evaluate classifiers, and build scalable workflows that generate segments for downstream applications. This is a highly hands-on role requiring strong applied machine learning expertise, proficiency in Python and modern data science tools, and the ability to independently take solutions from data exploration and feature development through model evaluation and implementation. This position is W-2 only. We do not work with third-party firms or C2C arrangements for this role.

Core Responsibilities

Design, develop, evaluate, and implement machine learning classifiers for content classification and segmentation use cases Explore, analyze, and prepare content datasets using Python, pandas, SQL, Spark, and related data science tools Develop features from structured and semi-structured metadata, including categorical, numerical, text-derived, and aggregated features Build robust feature-processing workflows, including missing-value handling, categorical encoding, scaling, normalization, feature selection, and other appropriate transformations Develop multi-class and multi-label classification models using appropriate supervised machine learning techniques, and train, tune, and compare models using cross-validation, and hyperparameter optimization Partner with data scientists, engineers, and content stakeholders to translate requirements into practical machine learning solutions Apply strong software development practices, including modular code, version control, testing, logging, code review, and documentation

Required Skills/Experience (Must-Haves)

Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field, or equivalent practical experience 5+ years of industry experience building and deploying machine learning models in production environments and relevant NLP experience. Strong proficiency in Python, with hands‑on experience using pandas and scikit‑learn for data preparation and machine learning Strong understanding of supervised machine learning and classification techniques, including linear models, decision trees, random forests, ensemble methods, and gradient‑boosted models Strong experience with feature engineering, feature preprocessing, and feature selection for structured and semi-structured datasets Experience developing multi-class and/or multi-label classification models Strong SQL skills and experience querying, joining, aggregating, and analyzing large datasets Ability to independently move from exploratory data analysis and feature development through model training, evaluation, and implementation Strong analytical and problem‑solving skills, with the ability to make pragmatic modeling decisions based on data, project requirements, and delivery constraints Strong written and verbal communication skills, with the ability to clearly explain technical approaches and results to technical and non‑technical stakeholders Ability to operate effectively in a fast‑paced environment, ramp up quickly on existing data and code, and independently deliver within a project‑based contract engagement

Preferred Skills/Experience (Nice-to-Haves)

Master’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related field Experience developing classifiers from metadata, catalog data, or other high‑dimensional structured and semi-structured datasets Experience incorporating text-based features using techniques such as TF-IDF, text embeddings, or other semantic representations Experience working with media, entertainment, streaming, search, recommendation, or other digital content domains Familiarity with workflow orchestration tools such as Luigi, Airflow, or similar frameworks Experience with cloud-based data and compute environments, particularly AWS Media & Entertainment industry experience is a plus

Work Environment

Location: Santa Monica, CA HYBRID Contract: 18 months

Compensation & Benefits

Pay Range: The approximate pay range for this position is between $63.00 and $90.00 per hour. Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.

• Medical, Dental, & Vision Insurance Plans
• Employee Stock Ownership Plan
• 401K offered

About KellyMitchell

At KellyMitchell, our culture is world class. We’re movers and shakers! We don’t mind a bit of friendly competition, and we reward hard work with unlimited potential for growth. This is an exciting opportunity to join a company known for innovative solutions and unsurpassed customer service. We're passionate about helping companies solve their biggest IT staffing & project solutions challenges. As an employee‑owned, women‑led organization serving Fortune 500 companies nationwide, we deliver expert service at a moment's notice.