Machine Learning Engineer (W2 Only)
Job Title: Algorithm Developer (ML Engineer)
Location: Remote
Duration: 08 months contract with potential extension for longer term
Job Description
• Adapt standard machine learning methods leveraging modern parallel environments (e.g., distributed clusters, multicore SMP, and GPU).
• Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules-based models.
• Suggest, collect, and synthesize requirements from cross-functional (XFN) teams.
• Code deliverables in tandem with the engineering team.
Minimum Qualifications
• 6+ years of experience in software engineering or a relevant field (3+ years with a PhD).
• 2+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or a related technical field.
• Experience with scripting languages such as Python, JavaScript, or Hack.
• Experience developing machine learning models at scale—from inception to business impact.
• Experience with scripting languages such as Python, PHP, and/or shell scripts.
• Experience building and shipping high-quality work with high reliability.
• Proven track record of successful cross-functional partnerships.
• Experience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes.
• Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
Preferred Qualifications
• Master’s degree or PhD in Computer Science or another ML-related field.
• Exposure to architectural patterns of large-scale software applications.
• Experience with frameworks such as PyTorch and TensorFlow.
• Proficiency in C++ preferred.
Years of Experience
• 6+ years of experience in software engineering or a relevant field.
• 3+ years of experience if holding a PhD.
Must-Have Skills
• 5+ years of consistent, industry-level experience working as a Machine Learning Engineer, with exposure to AI and Generative AI (GenAI).
• Strong experience with scripting languages such as Python, JavaScript, or Hack.
• Experience developing machine learning models at scale from inception to business impact.
• Demonstrated success in cross-functional collaboration.
• Proven ability to improve code quality through rigorous code reviews, testing, rollouts, monitoring, and maintenance.
Nice-to-Have Skills
• Experience at a large tech company.
• Familiarity with architectural patterns of large-scale software applications.
• Experience using ML frameworks like PyTorch and TensorFlow.
• Proficiency in C++ is preferred.
Job Title: Algorithm Developer (ML Engineer)
Location: Remote
Duration: 08 months contract with potential extension for longer term
Job Description
• Adapt standard machine learning methods leveraging modern parallel environments (e.g., distributed clusters, multicore SMP, and GPU).
• Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules-based models.
• Suggest, collect, and synthesize requirements from cross-functional (XFN) teams.
• Code deliverables in tandem with the engineering team.
Minimum Qualifications
• 6+ years of experience in software engineering or a relevant field (3+ years with a PhD).
• 2+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or a related technical field.
• Experience with scripting languages such as Python, JavaScript, or Hack.
• Experience developing machine learning models at scale—from inception to business impact.
• Experience with scripting languages such as Python, PHP, and/or shell scripts.
• Experience building and shipping high-quality work with high reliability.
• Proven track record of successful cross-functional partnerships.
• Experience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes.
• Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
Preferred Qualifications
• Master’s degree or PhD in Computer Science or another ML-related field.
• Exposure to architectural patterns of large-scale software applications.
• Experience with frameworks such as PyTorch and TensorFlow.
• Proficiency in C++ preferred.
Years of Experience
• 6+ years of experience in software engineering or a relevant field.
• 3+ years of experience if holding a PhD.
Must-Have Skills
• 5+ years of consistent, industry-level experience working as a Machine Learning Engineer, with exposure to AI and Generative AI (GenAI).
• Strong experience with scripting languages such as Python, JavaScript, or Hack.
• Experience developing machine learning models at scale from inception to business impact.
• Demonstrated success in cross-functional collaboration.
• Proven ability to improve code quality through rigorous code reviews, testing, rollouts, monitoring, and maintenance.
Nice-to-Have Skills
• Experience at a large tech company.
• Familiarity with architectural patterns of large-scale software applications.
• Experience using ML frameworks like PyTorch and TensorFlow.
• Proficiency in C++ is preferred.
