If you are a motivated and talented individual who is passionate about machine learning and looking for an exciting opportunity to make an impact, Lobox is the perfect place for you
Position: ML Engineer
Location: New York, New York, United States
Company: Lobox
Salary: $171000 - $208000
Job Type: Full-time
About the Company: Lobox is a rapidly growing tech company that specializes in developing cutting-edge machine learning solutions for various industries. We are a team of highly skilled individuals who are passionate about using AI to drive innovation and improve businesses. We are looking for a skilled ML Engineer to join our team and help us continue our mission of creating innovative ML solutions.
Job Description: As an ML Engineer at Lobox, you will be responsible for developing, testing, and deploying machine learning models and algorithms. You will work closely with our team of data scientists, software engineers, and product managers to design and implement ML solutions that meet the needs of our clients. The ideal candidate will have a strong background in machine learning, with experience in building and deploying ML models in production environments.
Key Responsibilities:
- Design, develop, and implement machine learning models and algorithms.
- Collaborate with data scientists to identify and select the best algorithms for a given problem.
- Develop and deploy ML models in production environments.
- Optimize and fine-tune existing ML models for better performance.
- Work with software engineers to integrate ML models into our products.
- Develop and maintain data pipelines for training and deploying ML models.
- Monitor and evaluate the performance of ML models in production.
- Stay up-to-date with the latest advancements in the field of machine learning and apply them to our projects.
Qualifications:
- Bachelor's or Master's degree in computer science, mathematics, or a related field.
- Minimum of 3 years of experience in machine learning engineering.
- Strong programming skills in languages such as Python, Java, or C++.
- Experience with machine learning libraries such as TensorFlow, PyTorch, or scikit-learn.
- Experience with cloud computing platforms such as AWS, GCP, or Azure.
- Familiarity with data engineering and data processing tools such as Spark, Hadoop, or Airflow.
- Excellent problem-solving and analytical skills.
- Strong communication and teamwork abilities.
- A passion for machine learning and a desire to stay updated with the latest advancements in the field.
Benefits:
- Family and medical leave (FMLA)
- Competitive salary and benefits package.
- Opportunity to work with cutting-edge technologies and projects.
- Collaborative and dynamic work environment.
- Professional development opportunities.
- Flexible working hours and work-life balance.
- Health and wellness benefits.
Apply now and join our team of innovators!