Senior Machine Learning Engineer

Harnham

Phoenix (AZ)

Hybrid

USD 125,000 - 160,000

Full time

14 days+

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Job summary

A leading AI solutions firm in Phoenix is seeking a Senior Machine Learning Engineer to join a high-impact team. This role focuses on designing innovative ML models for equipment performance forecasting, blending research with practical application. Candidates should have over 4 years of experience in Machine Learning, including deep knowledge of LLMs and production-grade coding skills. The position offers a competitive salary, and a blend of in-office and remote work.

Qualifications

  • 4+ years of Machine Learning and/or LLM experience.
  • Proficient in building custom neural net architectures.
  • Strong foundations in model development, training, and validation.

Responsibilities

  • Design and build custom neural network architectures from scratch.
  • Develop a multimodal language model for forecasting equipment behavior.
  • Conduct in-depth literature reviews and lead early-stage experiments.
  • Collaborate with software engineers, analysts, and domain experts.
  • Write clean, production-ready code.

Skills

Machine Learning experience
Knowledge of LLMs
Proficiency in PyTorch
Fluency in Python
Cloud experience

Tools

AWS
Azure
GCP

Job description

This range is provided by Harnham. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$120,000.00/yr - $160,000.00/yr

Direct message the job poster from Harnham

Principal Recruitment Consultant - Data Science, AI, and Software

Senior Machine Learning Engineer

Phoenix, Arizona

4 days in office, 1 day work from home

$125,000 - $160,000 + bonus

About the Company

This Series A startup is building cutting-edge AI solutions tailored for the energy industry. Their flagship platform is a generative AI system trained on extensive energy-specific data and engineered to automate critical processes in various facilities. Whether deployed on-premise or in the cloud, their technology enhances safety, efficiency, and compliance by integrating seamlessly into the highly regulated and data-intensive world of the energy sector operations.

The company is tight-knit, mission-driven, and moving fast to modernize one of the world's most vital industries through deep learning and domain-specific intelligence.

About the Role

This company is hiring a Senior Machine Learning Engineer to join a small, high-impact ML team and help build a novel, forecasting engine for equipment performance. This isn't your typical production ML role - it's ideal for candidates who enjoy academic-style research, building custom architectures from scratch, and solving hard problems that haven't been solved before.

You'll help design and build ML models that integrate logs, sensor data, and system interactions to help clients explain system behaviors in real time.

Role Responsibilities
  • Design and build custom neural network architectures from scratch
  • Develop a multimodal language model for forecasting equipment behavior using logs and performance signals
  • Conduct in-depth literature reviews, define research strategies, and lead early-stage experiments
  • Collaborate closely with software engineers, analysts, and domain experts to integrate your work into real-world tools used by clients
  • Write clean, production-ready code for systems that support mission-critical infrastructure
Key Skill Requirements
  • 4+ years of Machine Learning and/or LLM experience
  • Deep knowledge of LLMs and multimodal modeling, especially models that work across text, time series, or image data
  • Proficiency in PyTorch (or TensorFlow), with experience in building custom neural net architectures
  • Fluency in Python with strong foundations in model development, training, and validation
  • Cloud experience with AWS, Azure, or GCP
Seniority level
  • Mid-Senior level
Employment type
  • Full-time
Job function
  • Industries
  • Nuclear Electric Power Generation

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