Job description

The successful candidate will be responsible for designing, developing, and implementing algorithms that can process large datasets to extract meaningful insights. The Senior Machine Learning Engineer will work closely with other teams to create innovative solutions that drive business decisions.

Primary Responsibilities:

• Design, develop, and implement machine learning algorithms for processing large datasets on both standard and non-standard ML architectures.
• Collaborate with cross-functional teams to identify business problems that can be solved through algorithmic approaches
• Conduct research to develop new algorithms and refine existing ones
• Build scalable, reliable, and efficient algorithms that can be deployed in production environments
• Evaluate the performance of algorithms and make improvements as needed

Qualifications:

• Master's or Ph.D. degree in Computer Science, Mathematics, or related field
• 3+ years of experience in algorithm development and machine learning. Ph.D may count toward experience.
• Strong programming skills in Python, Java, or other relevant programming languages
• Experience with machine learning frameworks such as TensorFlow, Keras, or PyTorch
• Demonstrated knowledge of statistical analysis and mathematical modeling
• with explicit knowledge of Linear Algebra
• Experience with distributed computing and cloud-based technologies
• Excellent problem-solving and analytical skills
• Strong communication and collaboration skills

Job Type: Full-time

Pay: $72,276.84 - $87,043.07 per year

Benefits:

• 401(k) matching
• Dental insurance
• Health insurance
• Life insurance
• Paid time off
• Vision insurance

Schedule:

• 8 hour shift
• Day shift

Supplemental pay types:

• Bonus pay

Work Location: In person

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