Machine Learning Engineer

Nicely Co.; Tulsa (OK); On-site; USD 120,000 - 160,000; Full time

Job summary

Nicely Co. is seeking a Machine Learning Engineer to strengthen trustworthy data, analysis, modeling, reporting, measurement, governance, and actionable business insight.

You will turn company priorities into clear, dependable work while partnering across functions and owning critical components in an early-stage environment. You will help create processes and internal systems behind the work, not just follow a mature playbook, and you'll communicate tradeoffs, exercise sound judgment, and

Qualifications

• Demonstrated capability relevant to trustworthy data, analysis, modeling, reporting, measurement, governance, and actionable business insight.
• Judgment and ownership appropriate for the Machine Learning Engineer scope.
• Strong written and verbal communication with both specialists and cross-functional partners.
• Ability to organize ambiguous work, make progress independently, and document decisions.
• Comfort building systems in an early-stage environment where priorities may evolve.
• Commitment to ethical conduct, confidentiality, security, accessibility, and inclusive collaboration.

Responsibilities

• Own day-to-day work across trustworthy data, analysis, modeling, reporting, measurement, governance, and actionable business insight.
• Translate the priorities of the Machine Learning Engineer role into documented plans, decisions, and measurable outcomes.
• Build lightweight, repeatable processes that fit an early-stage company and can mature over time.
• Collaborate across functions to resolve dependencies and deliver complete outcomes.
• Identify risks early, recommend proportionate solutions, and escalate consequential decisions.
• Maintain accurate documentation and handle company, customer, and employee information responsibly.
• Use relevant evidence and feedback to improve quality, efficiency, and stakeholder experience.
• Communicate progress, constraints, priorities, and results clearly to affected teammates.

Skills

Trustworthy data

Data analysis

Modeling

Reporting

Measurement

Governance

Communication

Tools

Data & Analytics tools

Job description

Machine Learning Engineer

Help build Nicely Co.'s trustworthy data, analysis, modeling, reporting, measurement, governance, and actionable business insight as Machine Learning Engineer, with meaningful ownership in an early-stage company.

Position overview

Nicely Co. is seeking a Machine Learning Engineer to strengthen trustworthy data, analysis, modeling, reporting, measurement, governance, and actionable business insight. This role will turn company priorities into clear, dependable work while partnering directly with colleagues across functions.Nicely Co. is an early-stage company, so this position will help create the processes and internal systems behind the work, not merely inherit a mature playbook. The successful candidate will use sound judgment, communicate tradeoffs, and operate with appropriate autonomy.Responsibilities may evolve as the company grows. This is an opportunity to influence how the Data & Analytics function develops, establish useful standards, and leave behind systems that scale responsibly.

Responsibilities

• Own day-to-day work across trustworthy data, analysis, modeling, reporting, measurement, governance, and actionable business insight.
• Translate the priorities of the Machine Learning Engineer role into documented plans, decisions, and measurable outcomes.
• Build lightweight, repeatable processes that fit an early-stage company and can mature over time.
• Collaborate across functions to resolve dependencies and deliver complete outcomes.
• Identify risks early, recommend proportionate solutions, and escalate consequential decisions.
• Maintain accurate documentation and handle company, customer, and employee information responsibly.
• Use relevant evidence and feedback to improve quality, efficiency, and stakeholder experience.
• Communicate progress, constraints, priorities, and results clearly to affected teammates.

Qualifications

• Demonstrated capability relevant to trustworthy data, analysis, modeling, reporting, measurement, governance, and actionable business insight.
• Judgment and ownership appropriate for the Machine Learning Engineer scope.
• Strong written and verbal communication with both specialists and cross-functional partners.
• Ability to organize ambiguous work, make progress independently, and document decisions.
• Comfort building systems in an early-stage environment where priorities may evolve.
• Commitment to ethical conduct, confidentiality, security, accessibility, and inclusive collaboration.

Preferred qualifications

• Experience with modern methods and tools used in Data & Analytics.
• Experience in a startup, small business, or other resource-conscious environment.
• Evidence of improving a workflow, standard, product, service, or measurable outcome.
• Relevant education, certification, portfolio, or equivalent practical experience.
• Flexible work arrangements where applicable.
• Opportunity to help build an early-stage company.
• Direct impact on company growth and operating quality.
• Cross-functional collaboration and professional development opportunities.
• Significant ownership over assigned responsibilities.
• Opportunity for responsibilities to expand as the company grows.