Machine Learning Engineer

Northwind Advanced Corp.; Sacramento (CA); On-site; USD 120,000 - 171,000; Full time

Benefits offered by this job

Health insurance

Retirement plans

Professional development

Wellness programs

Job summary

Northwind Advanced Corp. in Sacramento, CA is seeking a Machine Learning Engineer for a full-time role. The position offers a salary ranging from $120,000 to $170,654 and a comprehensive benefits package.

You will develop and implement ML models, optimize algorithms, and integrate solutions within existing systems, collaborating with a team of data scientists and software engineers in a dynamic workplace. Candidates should have a Master’s degree in CS or related field and 3+ years of experience.

Qualifications

• Master's degree in CS/EE or related field required.
• 3+ years of experience in machine learning.
• Proficiency in Python and R.
• Experience with ML frameworks: TensorFlow, PyTorch, or scikit-learn.
• Strong statistical and data visualization skills.

Responsibilities

• Develop and implement ML models and algorithms.
• Collaborate with cross-functional teams to translate business needs into technical solutions.
• Conduct data analysis and feature engineering to improve models.
• Monitor and maintain ML systems for optimal performance.
• Stay updated with ML and data science advancements.
• Document and share knowledge to foster collaboration.

Skills

Machine learning

Data analysis

Python

R

Statistical methods

Data visualization

Problem-solving

Attention to detail

Education

Master's degree in Computer Science, Electrical Engineering, or related field

Bachelor's degree in Computer Science, Data Science, or related field

Tools

TensorFlow

PyTorch

scikit-learn

Job description

Northwind Advanced Corp. seeks a Machine Learning Engineer in Sacramento, CA, for a FULL_TIME role. Salary ranges from $120,000 to $170,654.

As a Machine Learning Engineer, you will develop and implement machine learning models, optimize algorithms, and integrate solutions into existing systems.

You will collaborate with a team of data scientists and software engineers in a dynamic workplace in Sacramento, CA, where innovation and problem-solving are at the forefront. This environment encourages a culture of continuous learning and growth, providing ample opportunities to develop your skills and contribute to cutting-edge projects. The team is composed of highly skilled professionals who are passionate about their work, fostering a supportive and collaborative atmosphere. You will have the chance to work on diverse projects, applying your expertise to real-world challenges and making a tangible impact. The workplace is equipped with state-of-the-art technology and resources, ensuring that you have everything you need to excel in your role. Sacramento, known for its vibrant community and quality of life, offers a perfect balance between work and personal life, making it an ideal location for both professional and personal growth.

The role offers a competitive salary and comprehensive benefits package, which includes health insurance to cover medical expenses, retirement plans to help secure financial stability in the future, and professional development opportunities to enhance skills and advance in the career. Additionally, the benefits may extend to wellness programs, flexible work arrangements, and access to employee discounts and perks.

Candidates must have a Master's degree in Computer Science, Electrical Engineering, or a related field, with 3+ years of experience in machine learning.

Application deadline: November 23, 2026.

What you will do

1. Develop and implement machine learning models and algorithms.
2. Collaborate with cross-functional teams to understand business needs and translate them into technical solutions.
3. Conduct data analysis and feature engineering to improve model performance.
4. Monitor and maintain machine learning systems to ensure optimal performance.
5. Stay updated with the latest advancements in machine learning and data science.
6. Document and share knowledge with the team to foster a collaborative environment.

What we need

1. Bachelor's degree in Computer Science, Data Science, or a related field.
2. 2-4 years of experience in machine learning and data analysis.
3. Proficiency in programming languages such as Python and R.
4. Experience with machine learning frameworks like TensorFlow, PyTorch, or scikit-learn.
5. Strong understanding of statistical methods and data visualization techniques.
6. Excellent problem-solving skills and attention to detail.