Machine Learning Engineer

GetJobSmart; Sacramento (CA); Vor Ort; USD 120.000 - 170.000; Vollzeit

Benefits dieser Stelle

Health insurance (medical, dental, and

Vision coverage

Retirement plan with employer matching

Tuition reimbursement

Mentorship programs

Access to industry conferences and —

Zusammenfassung

Venture Grove Solutions, based in Sacramento, seeks a Machine Learning Engineer for a full-time role. The candidate will design, develop, and deploy ML models, collaborate with cross-functional teams, and stay ahead of state-of-the-art ML developments.

Requirements include a degree in CS/Statistics/Mathematics and 3+ years of ML engineering experience, with Python and TensorFlow/PyTorch proficiency. On-site role with strong growth opportunities and competitive benefits.

Qualifikationen

• Bachelor's degree in Computer Science, Statistics, Mathematics, or related field.
• 3+ years of experience in machine learning engineering.
• Proficiency in Python and machine learning libraries such as TensorFlow, PyTorch, or scikit-learn.
• Strong understanding of data structures, algorithms, and statistical concepts.

Aufgaben

• Design, develop, and deploy machine learning models and algorithms.
• Collaborate with cross-functional teams to understand business needs and translate them into technical solutions.
• Conduct research and stay up-to-date with the latest advancements in machine learning.
• Optimize and improve existing machine learning systems.
• Document and communicate your work to ensure clarity and understanding.
• Participate in code reviews and mentor junior engineers.

Ausbildung

Bachelor's degree in Computer Science, Statistics, Mathematics, or related field

Tools

Python

TensorFlow

PyTorch

scikit-learn

AWS

GCP

Azure

Jobbeschreibung

Venture Grove Solutions, a tech company in Sacramento, CA, seeks a Machine Learning Engineer for its FULL_TIME role. The position offers a negotiable salary and is open until November 22, 2026.

The Machine Learning Engineer will develop and implement machine learning models, optimize algorithms, and integrate solutions into existing systems. Tasks include data preprocessing, model training, and performance evaluation.

The team operates in a collaborative environment in Sacramento, CA. The workplace is in a tech hub with modern facilities and resources for innovation.

The salary for this position is negotiable, reflecting the candidate's qualifications and experience. In addition to the base salary, employees are eligible for comprehensive health insurance coverage, including medical, dental, and vision plans. The company also offers a retirement plan with employer matching contributions, providing financial security for the long term. Furthermore, professional development opportunities are available, such as tuition reimbursement for courses related to the field, mentorship programs, and access to industry conferences and workshops. These benefits are designed to support the overall well-being and career growth of employees.

Candidates must have a degree in Computer Science, Engineering, or related field. Experience with Python, TensorFlow, and PyTorch is required. Strong problem-solving skills and knowledge of statistical methods are essential.

What you will do:

1. Design, develop, and deploy machine learning models and algorithms
2. Collaborate with cross-functional teams to understand business needs and translate them into technical solutions
3. Conduct research and stay up-to-date with the latest advancements in machine learning
4. Optimize and improve existing machine learning systems
5. Document and communicate your work to ensure clarity and understanding
6. Participate in code reviews and mentor junior engineers

What we need:

1. A bachelor's degree in Computer Science, Statistics, Mathematics, or a related field
2. 3+ years of experience in machine learning engineering
3. Proficiency in Python and experience with machine learning libraries such as TensorFlow, PyTorch, or scikit-learn
4. Strong understanding of data structures, algorithms, and statistical concepts
5. Experience with cloud platforms like AWS, GCP, or Azure
6. Ability to work independently and as part of a team