Remote ML Engineer: Ownership, Kafka & Impact

Media Advantage Corp

Springdale (AR)

Remote

USD 75,000 - 109,000

Full time

14 days+

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Benefits offered by this job

Remote-friendly
Mentorship program
Real benefits

Job summary

Media Advantage Corp in Springdale, AR is seeking a Machine Learning Engineer to translate metrics, design Kafka-driven architectures, and optimize performance at scale. You’ll collaborate with cross-functional teams, document R workflows, and evaluate new tools, while enjoying a remote-friendly environment and mentorship opportunities.

The role emphasizes strong analytical skills, a growth mindset, and the ability to steer conversations toward informed decisions within a full-time team setting.

Qualifications

  • Proven Kafka judgment when the textbook answer doesn't fit
  • Growth mindset that treats feedback as fuel
  • Comfort steering technology conversations toward a decision
  • Familiarity with full-time schedules and team norms at Media Advantage Corp
  • Sharp organizational skills and an ability to juggle multiple workstreams
  • Strong analytical and problem-solving capabilities
  • Self-awareness to know which problems are yours to solve

Responsibilities

  • Translate Seaborn metrics into the one chart leadership checks each morning
  • Sketch the Kafka architecture, defend it in review, then build the thing
  • Optimize application performance, latency, and resource utilization at scale
  • Configure and manage infrastructure as code across staging and production
  • Document the R system so the next mid-level engineer onboards in days, not weeks
  • Pair with cross-functional partners to scope and deliver full-time projects
  • Evaluate and recommend new tools, frameworks, and libraries
  • Build responsive, accessible front-end interfaces with Negotiation

Skills

Kafka judgment
Growth mindset
Decision making
Analytical skills
Organizational skills

Tools

Kafka
Seaborn
R
Negotiation libraries

Job description

Media Advantage Corp in Springdale, AR is seeking a Machine Learning Engineer to translate metrics, design Kafka-driven architectures, and optimize performance at scale. You’ll collaborate with cross-functional teams, document R workflows, and evaluate new tools, while enjoying a remote-friendly environment and mentorship opportunities.

The role emphasizes strong analytical skills, a growth mindset, and the ability to steer conversations toward informed decisions within a full-time team setting.

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