Cresta18.02.26
AI SCORE 8.5

Remote Senior Staff Machine Learning Engineer - AI Solutions

$120K–$180K/year

About the Role

Join Cresta as a Remote Senior Staff Machine Learning Engineer and be part of a mission to transform customer conversations into competitive advantages. Our platform combines AI and human intelligence to empower contact centers, and we are looking for innovative engineers to help us leverage the latest technologies in Large Language Models (LLMs) and AI Agent systems.

What You'll Do

  • Design, develop, and deploy Cresta’s AI Agent solutions and proprietary models.
  • Focus on practical AI challenges such as improving reasoning, planning capabilities, and evaluation in real-world scenarios.
  • Collaborate with cross-functional teams including front-end and back-end engineers to integrate AI solutions.
  • Work on cutting-edge projects that require hands-on experience with the latest AI technologies.
  • Address key challenges such as evaluation and reliability of AI solutions.

Requirements

  • 5+ years of experience in machine learning and AI development.
  • Strong background in developing and deploying AI models, particularly LLMs.
  • Experience with AI Agent systems and practical applications of AI technology.
  • Proficiency in programming languages such as Python, and familiarity with machine learning frameworks.
  • Ability to work collaboratively in a team environment and communicate effectively with stakeholders.

Nice to Have

  • Experience with cloud platforms such as AWS or Google Cloud.
  • Familiarity with data engineering and data pipeline development.
  • Knowledge of AI ethics and responsible AI practices.

What We Offer

  • Competitive salary ranging from $120,000 to $180,000 per year.
  • Fully remote work environment with flexible hours.
  • Opportunity to work with a talented team of AI experts and industry leaders.
  • Professional development opportunities and access to cutting-edge technologies.
  • Health, dental, and vision insurance benefits.
Language Requirements
EnglishC1
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

Cresta offers a unique opportunity for a Remote Senior Staff Machine Learning Engineer to work on cutting-edge AI technologies. With a competitive salary and a fully remote work environment, this role is ideal for innovative engineers looking to make an impact.

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

Who Will Succeed Here

Proficient in deploying and optimizing Large Language Models (LLMs) using frameworks like TensorFlow or PyTorch, with a strong understanding of AI Agent systems to enhance customer interactions.

Self-motivated and disciplined in a remote work environment, able to manage time effectively while collaborating with cross-functional teams through tools like Slack and Zoom.

Possess a robust problem-solving mindset, with at least 5 years of experience in machine learning and data engineering, capable of tackling complex data challenges and developing scalable AI solutions.

Learning Resources

Machine Learning Crash Coursecourse

Career Path

Remote Senior Staff Machine Learning Engineer - AI Solutions(Now)Lead Machine Learning Architect(1-2 years)Director of AI Solutions(3-5 years)

Market Overview

Market Size 2024
$119B
Annual Growth
38.2%
AI Adoption
75%
Investment
+150%
Labour Demand
+40%
Avg Salary
$155K

Skills & Requirements

Required
Machine LearningAIPython
Growing in Demand
Deep LearningNatural Language Processing (NLP)Cloud ML Services (AWS SageMaker, Google AI Platform)
Declining
Traditional Statistical AnalysisRule-Based Expert Systems

Domain Trends

Increased Use of LLMs
The adoption of Large Language Models (LLMs) is projected to grow by 45% in enterprise applications, enhancing AI-driven customer interactions.
Integration of AI in Data Engineering
Over 60% of organizations are integrating AI capabilities into their data engineering processes to improve data quality and pipeline efficiency.
Rise of AI Agent Systems
AI agent systems are expected to see a market growth of 35% as businesses increasingly rely on autonomous systems for decision-making and operations.

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