ML Engineer

If you are passionate about machine learning and have a strong desire to solve complex business problems, we want to hear from you

Job Title: ML Engineer

Location: San Francisco, California, United States

Salary: $171000 - $208000

Employment Type: Full-time

Industry: Information Technology & Services

Company Overview: Lobox

Job Description: We are seeking a highly skilled and experienced ML Engineer to join our dynamic team. As an ML Engineer, you will be responsible for designing, developing, and implementing machine learning algorithms and models to drive business insights and decision-making. You will be working closely with our data scientists, software engineers, and product managers to develop scalable and efficient solutions for our company's machine learning needs.

Key Responsibilities:

• Develop and maintain machine learning models and algorithms to solve complex business problems.
• Collaborate with cross-functional teams to understand business needs and requirements.
• Explore and analyze large datasets to identify patterns and trends.
• Identify and implement suitable machine learning techniques and algorithms to solve specific problems.
• Design and implement data pipelines to support machine learning model training and deployment.
• Optimize and fine-tune existing machine learning models for improved performance.
• Monitor and evaluate model performance, and make necessary adjustments to ensure accuracy and efficiency.
• Keep up-to-date with the latest trends and advancements in machine learning and artificial intelligence.
• Communicate technical concepts and solutions to non-technical stakeholders.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field.
• Minimum of 3 years of experience as an ML Engineer or a similar role.
• Strong knowledge and experience with machine learning algorithms, including supervised and unsupervised learning, regression, and classification.
• Proficiency in programming languages such as Python, Java, or C++.
• Hands-on experience with machine learning libraries and frameworks, such as TensorFlow, PyTorch, or scikit-learn.
• Experience with cloud computing platforms, such as AWS or Azure.
• Excellent problem-solving and analytical skills.
• Strong communication and interpersonal skills.
• Ability to work in a fast-paced and collaborative environment.

Join our team and be a part of an innovative and dynamic company that values creativity, diversity, and continuous learning. We offer competitive salaries, comprehensive benefits, and opportunities for growth and career development.

Apply now and let's shape the future together.