Machine Learning Engineer

Talantir; Vancouver (WA); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Full healthcare package

401k with company match

Catered lunch

Coffee, tea and snacks

Paid parking

Competitive pay

Job summary

Talantir, based in the United States, seeks an experienced Machine Learning Engineer to design and deploy AI-driven systems that monitor and optimize ad performance. You will translate ML insights into revenue impact and automate data collection for campaigns.

You will take projects from concept to production, building self-running processes with the latest AI tools while collaborating with marketing, product, and engineering teams to drive business outcomes.

Qualifications

• 2+ years of experience in machine learning / AI development.
• Strong experience with integrating AI tools and building production-grade applications.
• Demonstrated tinkerer/hacker mindset.
• Comfort with experimentation, rapid prototyping, and learning new tools quickly.
• Coding fundamentals.

Responsibilities

• Design, build, and maintain ML-driven systems and automations for marketing performance.
• Prototype and deploy AI tools and APIs to improve workflows and products.
• Integrate with marketing platform APIs (Meta, Google Ads, TikTok, etc.) to collect data and optimize campaigns.
• Build automated models and decision pipelines for bidding, targeting, and attribution.
• Evaluate experiments and model performance with statistical rigor.
• Collaborate with engineering, product, and marketing to translate business needs into ML solutions.
• Analyze ROAS, CAC, LTV, and spend efficiency and feed into optimization logic.

Skills

ML model development

Production-grade deployments

Experimentation mindset

Python programming

Job description

About This Job

We are seeking an experienced and innovative Machine Learning Engineer with a background in digital marketing and campaign optimization. You will design, test, and deploy AI-driven systems that monitor and predict ad performance, translating ML insights into revenue impact. This position requires someone who thinks in both technical and business terms.

You will develop ML that will automate data collection to draw meaningful insights to help automate ad campaigns and optimizations. You will take projects from concept to production, constantly looking for ways to create self-running, efficient processes using the latest AI tools.

This position is ideal for someone passionate about cutting-edge ML applications, business impact, and turning complex data into automated, revenue-driving solutions.

Responsibilities

• Design, build, and maintain ML-driven systems and automations that improve marketing performance, budgeting, attribution, or creative optimization.
• Utilize AI tools and AI APIs to rapidly prototype and deploy solutions that enhance internal workflows and consumer-facing products.
• Integrate with marketing platform APIs (Meta, Google Ads, TikTok, etc.) to collect data, automate decisions, and optimize campaigns.
• Build automated models and decisioning pipelines for areas such as bidding, targeting, media mix modeling, or multi-touch attribution.
• Use statistical rigor to evaluate experiments, model performance, and marketing outcomes.
• Collaborate with engineering, product, and marketing teams to translate business needs into ML-powered solutions.
• Analyze core financial and growth metrics including ROAS, CAC, LTV, and spend efficiency and incorporate them into optimization logic.

Requirements

• 2+ years of experience in machine learning / AI development - either developing proprietary models or effectively deploying and customizing open source models.
• Strong experience with integrating AI tools, and the ability to build production-grade applications using them.
• Demonstrated tinkerer/hacker mindset.
• Comfort with experimentation, rapid prototyping, and learning new tools quickly.
• Coding fundamentals.

NICE-TO-HAVES

• Master’s degree (or equivalent experience) in Artificial Intelligence, Data Science, Statistics, or related field.
• Experience in data science / business intelligence.
• Proven track record designing and deploying automated decision systems, ideally in digital advertising or campaign optimization.
• Strong understanding of marketing and financial metrics: ROAS, CAC, LTV, attribution, incrementally, and statistical significance.
• Hands‑on experience working with marketing APIs (Meta, Google Ads, TikTok, Snapchat, etc).
• Software engineering experience.

Benefits

• full healthcare package (medical, dental, vision, life)
• 401k with a company match
• catered lunch
• coffee, tea and snacks
• paid parking
• competitive pay
• and much more

Anyone who joins our team will have great potential for career and personal growth.