Machine Learning Engineer

Pioneer West Solutions; Seattle (WA); On-site; USD 120,000 - 180,000; Full time

Job summary

Pioneer West Solutions in Seattle, WA is seeking a Machine Learning Engineer for a full-time role. You will design, develop and deploy ML models to solve real-world business problems, collaborating with data scientists and engineers to integrate models into production systems.

The ideal candidate holds a master's or PhD in a quantitative field, is proficient in Python and ML frameworks, and has experience with data prep, feature engineering, and model evaluation.

Qualifications

• Master's or PhD in Computer Science, Data Science, or a related field.
• Experience with machine learning frameworks such as TensorFlow or PyTorch is required.
• Knowledge of cloud platforms like AWS or GCP is a plus; SQL and Python are essential.

Responsibilities

• Design, develop, and deploy machine learning models to solve real-world problems.
• Collaborate with data scientists and software engineers to integrate models into existing systems.
• Conduct experiments and analyze results to improve model performance and accuracy.
• Stay up-to-date with the latest advancements in machine learning and AI, and apply this knowledge to projects.
• Document and share work with the team to ensure knowledge transfer and continuous improvement.
• Work closely with clients to understand their needs and deliver tailored ML solutions.

Skills

Python

R

ML libraries

Data prep

Feature eng

Model eval

Team comms

Enthusiasm for ML

Education

Master's or PhD in CS/Stats/Math

Tools

TensorFlow

PyTorch

scikit-learn

AWS/GCP

Job description

Pioneer West Solutions, a leading tech firm in Seattle, WA, seeks a Machine Learning Engineer for a FULL_TIME position. The role involves developing and deploying machine learning models to address complex business challenges. Salary is negotiable and the position is open until 2026-11-23.

In this role, you will work with diverse datasets, cutting-edge algorithms, and state-of-the-art tools to create innovative solutions. Your tasks will include designing and implementing machine learning models, optimizing model performance, and deploying models in production environments.

You will join a team of data scientists and engineers in a collaborative workplace in Seattle, WA, where the team focuses on developing and deploying machine learning models to solve complex business problems. This involves working closely with cross-functional teams to understand business needs, design and implement data solutions, and deploy models in production environments. The team emphasizes continuous learning and improvement, with regular knowledge-sharing sessions and workshops. You'll have the opportunity to work on a variety of projects, from developing predictive models to creating data pipelines and dashboards. The team values innovation and creativity, and encourages you to bring your unique perspective to the table.

The salary is negotiable based on the candidate's experience and qualifications. Benefits include comprehensive health insurance that covers medical, dental, and vision care, as well as a retirement plan with employer matching contributions. Professional development opportunities are also provided, such as tuition reimbursement for courses related to the job, mentorship programs, and access to industry conferences and workshops.

You should have a Master's degree in Computer Science, Data Science, or a related field. Experience with machine learning frameworks such as TensorFlow or PyTorch is required. Knowledge of cloud platforms like AWS or GCP is a plus. Familiarity with SQL and Python is essential.

The deadline for applications is November 23, 2026. Please note that applications submitted after this date will not be considered. Pioneer West Solutions is an equal opportunity employer and encourages applications from all qualified candidates, regardless of race, color, religion, sex, national origin, disability, or veteran status.

What You Will Do:

• Design, develop, and deploy machine learning models to solve real-world problems.
• Collaborate with data scientists and software engineers to integrate machine learning models into existing systems.
• Conduct experiments and analyze results to improve model performance and accuracy.
• Stay up-to-date with the latest advancements in machine learning and AI, and apply this knowledge to our projects.
• Document and share your work with the team to ensure knowledge transfer and continuous improvement.
• Work closely with clients to understand their needs and deliver tailored machine learning solutions.

What You Bring:

• A Master's degree or PhD in Computer Science, Statistics, Mathematics, or a related field, or equivalent experience.
• Strong programming skills in Python, R, or a similar language, with experience in machine learning libraries such as TensorFlow, PyTorch, or scikit-learn.
• Experience with data preprocessing, feature engineering, and model evaluation.
• Understanding of software engineering principles and best practices for code quality and maintainability.
• Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
• Passion for machine learning and AI, with a desire to learn and innovate.