Supervised Learning jobs

Machine Learning Engineer

Bright Vision Technologies · Posted Nov 13, 2026

Open

Remote, United States +1 more
Remote
Full-time · Mid
$115K–$165K per year

Machine Learning Engineer

Bright Vision Technologies · Posted Nov 13, 2026

Open

Remote, United States +1 more
Remote
Full-time · Mid
$115K–$165K per year

Finance AI/ML Engineer - PhD

HPE · Posted Nov 12, 2026

Open

Spring, Texas, United States
On-site
Full-time · Senior
$96K–$221K per year

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Develops and programs integrated software algorithms to structure, analyze, and leverage structured and unstructured data in business and systems applications.

Compensation

The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level. – United States of America: Annual Salary USD 95,800 - 220,500 in Texas

Responsibilities

Design, develop, and implement AI and machine learning models, including data pre-processing, feature engineering, algorithm selection, training, and evaluation.
Build forecasting and predictive models for revenue, cost, and demand, and support scenario and "what-if" analysis for planning.
Gather, clean, and analyze large financial and operational datasets to train and test models, using statistical methods and visualization to surface insights.
Optimize models for performance through hyperparameter tuning, experimentation, and feature selection or dimensionality reduction.
Support GenAI and automation use cases (AI assistants, agents, workflow automation) across FP&A, cost accounting, and controllership.

Requirements

PhD in Mathematics, Applied Mathematics, Statistics, or a closely related quantitative field
Nice to have: GenAI/LLM tools
Nice to have: ERP/SAP data
Nice to have: interest in finance and business strategy

Skills

Manager, Machine Learning Ops

The Coca-Cola Company · Posted Nov 11, 2026

Open

Atlanta, Georgia, United States
On-site
Full-time · Manager
$112K–$136K per year
2+ years

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Leverage vast amounts of data to transform it into actionable insights, aiding in the development of analytics models to drive decision-making and strategy across the organization.

Compensation

United States: 112,000 - 136,000 USD

Responsibilities

Collaborate with cross-functional teams to understand business requirements and objectives
Translate business requirements by incorporating data and develop ML and AI algorithms to produce actionable insights for various functional areas and use-cases
Leverage a diverse set of large structured and unstructured data to derive meaningful insights and information sets for modeling
Visualize and interpret data and create reports and actionable insights
Communicate complex analytical work to a variety of technical and non-technical stakeholders

Requirements

Bachelor’s or Master’s degree in a quantitative field (Data Science, Statistics, Computer Science, Economics, Finance, Mathematics or other quantitative discipline)

Skills

Python R SQL Hypothesis testing

AI/ML Engineer (Technical Lead)

HPE · Posted Nov 9, 2026

Open

Milpitas, California, United States
Hybrid
Full-time · Senior
$178K–$361K per year
10+ years

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Technical lead for the AI Enablement team, driving high-impact AI use cases from concept through production, establishing scalable architectures, and mentoring engineers.

Compensation

The expected salary/wage range for this position is provided below: 178,000-361,000

Responsibilities

Lead lighthouse use cases end-to-end
Independently own high-impact AI use cases from problem framing and solution design through production deployment
Design the architecture of AI systems for scalability, performance, reliability, security, and supportability
Establish evaluation, guardrails, monitoring, documentation, and performance metrics
Create reusable patterns, reference architectures, and tooling

Requirements

Bachelor's in computer science
Master’s in computer science
PhD in computer science
degree in data science or related field
Nice to have: responsible-AI

Skills

AI/ML engineering LLM agentic systems Generative AI MLOps

Senior ML/AI Engineer, Advanced Analytics & Modelling - Customer Intelligence Platforms

Canadian Tire Corporation, Limited · Posted Nov 4, 2026

Open

Toronto, Ontario, Canada
Hybrid
Full-time · Senior
CA$64K–CA$106K per year
5+ years

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Take end-to-end ownership of a strategic customer intelligence platform using machine learning, generative AI, and large-scale transaction data to identify shopping missions and behavioral patterns.

Compensation

Broadband Salary Range: $64,000 – $106,000.

Responsibilities

Lead the technical transition of third party-de engine into a fully owned CTC capability.
Develop a deep understanding of the full engine, including customer occasion discovery, catalogue generation, transaction tagging, feature engineering, model inference, and data flows.
Run the production platform end-to-end, including scheduled scoring, catalogue refreshes, model and prompt releases, pipeline monitoring, and incident investigation.
Own the platform's ML capabilities, including transaction classification, clustering, feature development, model validation, and drift management.
Own GenAI capabilities, including prompt architecture, context construction, model selection, prompt and model tuning, and structured outputs.

Requirements

Graduate-level education in Computer Science
Software Engineering
Machine Learning
Artificial Intelligence
Statistics

Skills

Python SQL

Data Science Intern [Summer 2027]

Zoox · Posted Nov 6, 2026

Open

Foster City, California, United States
On-site
Internship · Intern
$7K–$10K per month

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Data Science turns Zoox's driving, fleet and business data into decisions and automation. Interns may work on Autonomy Software V&V or Core/Domain Data Science teams.

Compensation

The monthly salary range for this position is $6,500 to $9,500. Compensation will vary based on geographic location and level of education.

Responsibilities

Use coding and analytical skills to derive insights that inform decisions and automation
Test new frameworks and algorithms to improve model performance
Work on a project such as drift monitoring, automated model retraining, predictive modeling, similarity search or statistical testing
Analyze real-world driving data to identify patterns, measure autonomy performance, and inform stack improvements
Contribute to metrics platforms that track miles-per-disengagement, driving behavior clusters, and safety-critical events

Requirements

B.S., M.S., Ph.D., or advanced degree in data science, statistics, computer science, or a related engineering program
Nice to have: Databricks
Nice to have: Spark
Nice to have: cloud data tools
Nice to have: dashboarding

Skills

Python SQL machine learning

Machine Learning Engineer

Machine Learning Engineer

Locations (2)

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Finance AI/ML Engineer - PhD

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Manager, Machine Learning Ops

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AI/ML Engineer (Technical Lead)

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Senior ML/AI Engineer, Advanced Analytics & Modelling - Customer Intelligence Platforms

Compensation

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Data Science Intern [Summer 2027]

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