Machine Learning Engineer

This is a fully remote position, open to applicants in New York.

📋 Description

• Assess intricate analytical and machine learning scenarios for technical precision, scalability, and business significance

• Create, validate, and enhance statistical models, predictive analyses, and data-driven solutions

• Write, review, and optimize Python and SQL code utilized in data analysis and machine learning workflows

• Design plausible business and analytics use cases grounded in professional experience and industry best practices

• Evaluate modeling strategies, underlying assumptions, and analytical methodologies for robustness and dependability

• Generate clear, organized documentation and explanations for complex statistical and machine learning concepts

• Spot opportunities to enhance analytical processes, outputs, and decision-support frameworks

• Collaborate within defined project parameters while managing tasks autonomously and proactively

• Uphold consistent quality, accuracy, and productivity throughout the engagement

• Offer expert insights on machine learning, deep learning, NLP, experimentation, forecasting, and model validation

• Convey technical findings and recommendations to both technical and non-technical stakeholders

• Contribute to cutting-edge AI-focused initiatives tackling real-world analytical challenges

⛳️ Requirements

• Over 5 years of professional experience in Data Science, Machine Learning, Advanced Analytics, Quantitative Research, Data Engineering, or related domains

• Strong expertise in Python and/or SQL for data analysis, modeling, and workflow creation

• Practical experience in developing, evaluating, or deploying analytical and machine learning models

• Comprehensive understanding of fundamental machine learning concepts and statistical methodologies

• Capability to clarify intricate technical concepts to both technical and non-technical audiences

• Excellent written communication skills for documentation and analytical reporting

• Ability to work independently in a fully remote setting

• Availability for approximately 30–40+ hours per week during the engagement

• Experience with deep learning techniques and frameworks

• Familiarity with Natural Language Processing (NLP) applications and methodologies

• Data Engineering experience, including constructing and maintaining data pipelines and analytical workflows

• Practical experience with A/B testing, experimentation design, and causal inference methodologies

• Background in forecasting and time series analysis for predictive modeling

• Data visualization abilities and knowledge of business intelligence concepts and tools

• Experience in model validation, performance assessment, and ongoing model monitoring

• Quantitative research background, including thorough analytical design and interpretation

• Previous roles as a Machine Learning Engineer, Data Scientist, or Applied AI professional contributing to strategic technology initiatives

• Proficient in aligning analytical and intelligent systems with real-world applications and business goals

🏝️ Benefits

• Medical, dental & vision

• Critical Illness, Accident, and Hospital coverage

• 401(k) Retirement Plan – Options for Pre-tax and Roth post-tax contributions

• Life Insurance (Voluntary Life & AD&D for the employee and dependents)

• Short and long-term disability coverage

• Health Spending Account (HSA)

• Transportation benefits

• Employee Assistance Program

• Time Off/Leave (PTO, Vacation or Sick Leave)

• Flexible scheduling

• Fully remote work environment