Machine Learning Engineer

Egreenservices

Columbia Township (MO)

On-site

USD 58,000 - 81,000

Full time

6 days ago
Be an early applicant

A complete application in a minute

Tailored resume and cover letter, ready to send.

Get past ATS filters

Benefits offered by this job

Wellness perks
Power BI training
Flexible hours

Job summary

Snapchat is seeking a Machine Learning Engineer to own data wrangling and model tooling for a fast-growing Columbia, MO team. You’ll own technology work, share in growth, and collaborate across product, data, and engineering to deliver reliable ML tooling.

The role emphasizes practical impact, strong collaboration across functions, and a hands-on approach with PyTorch and SageMaker. Join a team committed to engineering excellence in Columbia, MO.

Qualifications

  • Experience collaborating across engineering and marketing teams.
  • Ability to manage multiple tasks without sacrificing quality.
  • Strong attention to detail and accuracy.
  • Existing network in Columbia area or ability to build one.

Responsibilities

  • Catch prioritization regressions in staging before affecting Columbia customers.
  • Negotiate PyTorch tradeoffs with product when timelines collide.
  • Push Jupyter changes behind flags for quick Columbia, MO rollbacks.
  • Fix flaky tests to ensure Columbia, MO suite is trustworthy.
  • Mentor junior hires on integrating SageMaker.
  • Pull SageMaker telemetry into dashboards for Snapchat leadership.
  • Promote engineering excellence and continuous learning at Snapchat.

Skills

Cross-functional collaboration
Part-time willingness
Multitasking
Attention to detail
Columbia network
Clear communication

Tools

PyTorch
SageMaker
Power BI

Job description

We ship fast and break very little, and we want a Machine Learning Engineer who shares that obsession with Data Wrangling. Snapchat frames it as a partnership — $58,000 - $81,000 for your 1 years, ownership of technology work, and growth shared both ways.

Key Responsibilities
  • Catch the entrepreneurial Prioritization regression in staging before it ever reaches Columbia customers
  • Negotiate PyTorch tradeoffs with product when Snapchat timelines and reality collide
  • Push Jupyter changes safely behind flags so Columbia, MO rollbacks take seconds
  • Resurrect flaky Communication tests until the Columbia, MO suite is trustworthy again
  • Mentor newer junior hires on how Snapchat actually wires SageMaker together
  • Pull SageMaker telemetry into dashboards Snapchat leaders actually open
  • Champion engineering excellence and continuous learning within Snapchat
What You'll Bring
  • Cross-functional ease, from Communication engineers to XGBoost marketers
  • Comfort with part-time arrangements and the rhythms of a fast-growing workplace
  • Strong multitasking ability without sacrificing quality
  • Detail-oriented approach with a commitment to accuracy
  • A Columbia network, or the hustle to build one from scratch
  • The communication discipline to over-share early and trim later

Few people outside MO realize that Snapchat powers a surprising slice of the technology infrastructure running across Columbia, MO today. Our Columbia, MO culture runs on written context, generous handoffs, and very few status meetings.

Money matters, so we lead with $58,000 - $81,000; then come the wellness perks, the Power BI training, and hours you actually control.

We just reopened this Machine Learning Engineer req and are eager to meet new people.

Get your free, confidential resume review.

or drag and drop your file here.

Similar jobs

Similar jobs worth comparing

Data Scientist
Data Scientist

Energy Innovation Corp • Lexington (KY)

On-site
USD 64,000 - 98,000
Data Scientist
Data Scientist

Snapchat • Portland (OR)

On-site
USD 93,000 - 124,000
ML Engineer — SageMaker, PyTorch & Dashboards (Columbia, MO)
ML Engineer — SageMaker, PyTorch & Dashboards (Columbia, MO)

Egreenservices • Columbia Township (MO)

On-site
USD 58,000 - 81,000
Wellness perks
Power BI training
Flexible hours
Machine Learning Engineer, Level 4
Machine Learning Engineer, Level 4

SNAP, Inc. • Los Angeles (CA)

On-site
USD 173,000 - 259,000
Paid parental leave
Comprehensive medical coverage
Emotional and mental health support
Machine Learning Engineer, Level 4
Machine Learning Engineer, Level 4

SNAP, Inc. • Palo Alto (CA)

On-site
USD 173,000 - 259,000
Machine Learning Engineer, Level 4
Machine Learning Engineer, Level 4

SNAP, Inc. • San Francisco (CA)

On-site
USD 173,000 - 259,000
Paid parental leave
Comprehensive medical coverage
Mental health support programs
+1
Machine Learning Engineer, Level 4
Machine Learning Engineer, Level 4

SNAP, Inc. • New York (NY)

On-site
USD 164,000 - 259,000
RSUs
Machine Learning Engineer, Level 4
Machine Learning Engineer, Level 4

SNAP, Inc. • Bellevue (WA)

On-site
USD 173,000 - 259,000
paid parental leave
comprehensive medical coverage
emotional and mental health support
+1
Machine Learning Engineer, Level 5
Machine Learning Engineer, Level 5

SNAP, Inc. • Palo Alto (CA)

On-site
USD 178,000 - 313,000
Paid parental leave
Comprehensive medical coverage
Mental health support
+1
Machine Learning Engineer, Level 5
Machine Learning Engineer, Level 5

SNAP, Inc. • Los Angeles (CA)

On-site
USD 209,000 - 313,000