AI SCORE 8.7 / 10
Senior Applied AI Engineer - Remote at TRM Labs
$215K–$230K/year
About the Role
We are looking for a Senior Applied AI Engineer to join our team at TRM Labs. This remote position offers a unique opportunity to contribute to our mission of building a safer world through blockchain intelligence. As a Senior Applied AI Engineer, you will play a crucial role in advancing our AI engineering platform, directly impacting the effectiveness of our solutions.
What You'll Do
- Design, build, and maintain a production-grade evaluation system that enhances model accuracy and latency.
- Lead experimentation and fine-tuning processes to optimize AI/ML models continuously.
- Advance the orchestration of AI systems, ensuring they are scalable and resilient.
- Elevate technical standards through mentorship and leadership within the engineering team.
- Collaborate with cross-functional teams to drive critical investigations and deliver insights rapidly.
Requirements
- Advanced programming skills in Python and SQL.
- Proven experience in deploying machine learning and deep learning models in production environments.
- Strong understanding of experimentation frameworks and ML Ops practices.
- Ability to own critical systems end-to-end and work effectively with diverse teams.
- Excellent communication and leadership skills.
Nice to Have
- Experience with large language models (LLM) and Generative AI (GenAI).
- Familiarity with evaluation metrics and performance optimization techniques.
- Experience in a fast-paced, high-velocity work environment.
What We Offer
- Competitive salary range of $215,000 - $230,000 per year.
- Opportunity to participate in TRM’s equity plan.
- Flexible remote work environment with a focus on results.
- Collaborative team culture that values diverse perspectives.
- Access to continuous learning and professional development opportunities.
Why This Job8.7 of 10
This Senior Applied AI Engineer role at TRM Labs offers a unique opportunity to work on impactful AI projects in a remote setting with competitive compensation.
Salary Range
Required
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Optional
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Bonus
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Market Overview
Market Size 2024
$35B
Annual Growth
22.5%
AI Adoption
75%
Investment
+150%
Labour Demand
+30%
Avg Salary
$145K
Skills & Requirements
Required
PythonSQLMachine Learning
Growing in Demand
TensorFlowKubernetesNatural Language Processing (NLP)
Declining
R ProgrammingApache Mahout
Domain Trends
Increased Focus on MLOps
Organizations are investing in MLOps practices, with 65% of companies adopting MLOps frameworks to streamline AI model deployment and management.
Rise of Federated Learning
Federated learning is gaining traction, with a projected growth rate of 40% as businesses prioritize data privacy and decentralized model training.
Integration of AI in Business Processes
Around 80% of enterprises are integrating AI into their core business processes, leading to a surge in demand for applied AI engineers who can bridge the gap between data science and operational implementation.
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