Machine Learning Engineer

GetJobSmart; Las Vegas (NV); Sur place; USD 120 000 - 160 000; Plein temps

Avantages offerts par ce poste

Health insurance

Retirement plan

Tuition reimbursement

Professional development

Résumé du poste

Redwood Advanced Inc. in Las Vegas, NV is seeking a Machine Learning Engineer for a full-time on-site role. You will develop, implement, and maintain ML models and collaborate with cross-functional teams to deliver high-quality solutions.

The position requires a Master's degree in a related field and strong experience with Python and ML libraries (TensorFlow, PyTorch, scikit-learn). A culture of continuous learning and professional growth is emphasized.

Qualifications

• Master's degree required in CS/EE or related field.
• Strong experience with ML model development and deployment.
• Proficient in Python and ML libraries.

Responsabilités

• Develop and implement ML models and algorithms to solve business problems.
• Design and optimize ML pipelines for data processing and training.
• Collaborate with data scientists, software engineers, and PMs to deliver solutions.
• Validate models to ensure accuracy and reliability.
• Stay updated with ML advancements and apply them to improve solutions.
• Document models and processes for knowledge sharing.

Connaissances

Python programming

Data preprocessing

Feature engineering

Model evaluation

Communication skills

Formation

MS in Computer Science

MS in Electrical Engineering

BS in Computer Science / Statistics / Mathematics

Outils

TensorFlow

PyTorch

scikit-learn

Git

Description du poste

Redwood Advanced Inc. is seeking a Machine Learning Engineer to join our team in Las Vegas, NV. This full-time position offers a negotiable salary and is open until November 23, 2026.

In this role, you will develop, implement, and maintain machine learning models and algorithms. You will collaborate with cross-functional teams to deliver high-quality solutions that drive business innovation.

In Las Vegas, NV, you will immerse yourself in an innovative environment, collaborating with a dynamic team that thrives on creativity and collaboration. This workplace is a hub for professional growth and development, where ideas are nurtured and shared, fostering a culture of continuous learning and improvement. The team's dynamic nature ensures that every day brings new challenges and opportunities, encouraging you to push your boundaries and explore your potential. The city's vibrant atmosphere and diverse community provide a rich backdrop for your work, inspiring you to think outside the box and innovate.

The salary for this position is negotiable, allowing for a discussion between the employer and the candidate to reach a mutually agreeable compensation package. Benefits include comprehensive health insurance that covers medical, dental, and vision care, as well as a retirement plan with employer matching contributions to help employees save for their future. Additionally, there are opportunities for professional development, such as tuition reimbursement for courses or certifications, and access to workshops, seminars, and networking events to enhance skills and advance in the career.

To succeed in this role, you must have a Master's degree in Computer Science, Electrical Engineering, or a related field. Experience with Python, TensorFlow, and PyTorch is required. Strong problem-solving skills and a passion for machine learning are essential.

What You Will Do:

• Develop and implement machine learning models and algorithms to solve complex business problems.
• Design and optimize machine learning pipelines to ensure efficient data processing and model training.
• Collaborate with data scientists, software engineers, and product managers to deliver high-quality machine learning solutions.
• Conduct thorough testing and validation of machine learning models to ensure accuracy and reliability.
• Stay up-to-date with the latest advancements in machine learning and AI, and apply this knowledge to improve existing models and develop new solutions.
• Document and communicate machine learning models, algorithms, and processes to ensure knowledge sharing and continuous improvement.

What You Bring:

• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.
• Strong programming skills in Python, with experience in machine learning libraries such as TensorFlow, PyTorch, or scikit-learn.
• Experience with data preprocessing, feature engineering, and model evaluation techniques.
• Understanding of software engineering principles and best practices, including version control (e.g., Git).
• Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team.
• Strong problem-solving skills and the ability to think creatively to develop innovative machine learning solutions.