Talantix.io
Fetch•17.02.26
AI SCORE 8.5

Remote Senior Machine Learning Engineer - AI Focus

$140K–$200K/year
RemoteSoftware
Machine Learning•Python•TensorFlow•Data Engineering•Apache Spark•Natural Language Processing

About the Role

We are excited to announce an opportunity for a Remote Senior Machine Learning Engineer to join our innovative team at Fetch. As a pivotal member of our Scan, Match & Catalog team, you will leverage your expertise in applied machine learning to enhance our platform, which millions of users rely on every month. Fetch empowers consumers to earn rewards while shopping, dining, and engaging with their favorite brands. Your contributions will directly impact how we understand receipts, match products, and enrich our catalog at scale.

What You'll Do

  • Develop and implement machine learning models to improve receipt understanding and product matching.
  • Collaborate with data engineers to optimize data pipelines and production systems.
  • Analyze large datasets to extract insights and enhance catalog enrichment processes.
  • Experiment with new tools and technologies to drive innovation in machine learning applications.
  • Work closely with cross-functional teams to align machine learning initiatives with business objectives.

Requirements

  • 5+ years of experience in machine learning, data engineering, or related fields.
  • Strong proficiency in programming languages such as Python or Java.
  • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch).
  • Familiarity with data processing tools (e.g., Apache Spark, Hadoop).
  • Ability to work in a fast-paced environment and adapt to new challenges.

Nice to Have

  • Experience in the retail or consumer goods industry.
  • Knowledge of cloud platforms (e.g., AWS, Google Cloud).
  • Familiarity with natural language processing (NLP) techniques.

What We Offer

  • Competitive salary and performance-based bonuses.
  • Flexible remote work environment with a focus on work-life balance.
  • Opportunities for professional development and continuous learning.
  • Inclusive company culture that values diversity and innovation.
  • Access to cutting-edge tools and technologies in AI and machine learning.
Language Requirements
EnglishC1
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

Fetch offers an exciting opportunity for a Remote Senior Machine Learning Engineer to innovate in AI and machine learning. With a competitive salary and a flexible work environment, this role is ideal for those looking to make a significant impact.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

→

Proficient in deploying machine learning models using TensorFlow and Apache Spark, with a strong understanding of data pipelines and data engineering principles to handle large datasets efficiently.

→

Self-motivated and organized to thrive in a fully remote work environment, demonstrating the ability to manage time effectively and deliver high-quality results without direct supervision.

→

A deep understanding of Natural Language Processing techniques and algorithms, with a proven track record of applying these methods to real-world problems, showcasing a results-oriented mindset and innovative approach.

Learning Resources

→Machine Learning Crash Coursecourse
→Deep Learning with Python and PyTorchcourse
→Apache Spark Documentationguide

Career Path

Remote Senior Machine Learning Engineer - AI Focus(Now)→Lead Machine Learning Engineer(1-2 years)→Machine Learning Architect(3-5 years)

Market Overview

Market Size 2024
$43.5B
Annual Growth
38.8%
AI Adoption
75%
Investment
+300%
Labour Demand
+25%
Avg Salary
$150K

Skills & Requirements

Required
Machine LearningPythonTensorFlow
Growing in Demand
Deep LearningReinforcement LearningBig Data Technologies
Declining
Traditional Statistical AnalysisjQuery

Domain Trends

Increased Focus on Explainable AI
With 60% of organizations prioritizing transparency in AI models, the demand for machine learning engineers who can implement explainable AI techniques is rising.
Integration of Machine Learning in Cloud Services
Over 50% of enterprises are adopting cloud-based ML solutions, boosting the need for engineers adept in deploying models on platforms like AWS and Azure.
Growth in Natural Language Processing Applications
The NLP market is projected to grow by 30% annually, driven by advancements in AI-driven chatbots and virtual assistants, increasing demand for engineers skilled in NLP.

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