Talantix.io
AssemblyAI•09.03.26
AI SCORE 8.5

Senior Software Engineer - Machine Learning Remote

$195K–$225K/year
RemoteAI/Big Data
Python•Machine Learning•TensorFlow•PyTorch•AWS•Data Analysis•Pandas•NumPy

About the Role

AssemblyAI is seeking a Senior Software Engineer specializing in Machine Learning to join our innovative team. This is a remote position, allowing you to work from anywhere in Europe. As a Senior Software Engineer, you will play a pivotal role in developing cutting-edge machine learning models that enhance our AI capabilities. You will collaborate with a talented team of engineers and data scientists, contributing to projects that impact our product offerings and customer experiences.

What You'll Do

  • Design and implement machine learning algorithms and models to improve performance and scalability.
  • Collaborate with cross-functional teams to define and refine product requirements.
  • Conduct experiments and analyze data to drive insights and optimize machine learning solutions.
  • Mentor junior engineers and provide technical guidance on best practices in software development and machine learning.
  • Stay updated with the latest advancements in machine learning and AI technologies.

Requirements

  • 5+ years of experience as a Software Engineer with a focus on machine learning.
  • Strong proficiency in programming languages such as Python and experience with ML frameworks like TensorFlow or PyTorch.
  • Experience with data processing and analysis using tools like Pandas and NumPy.
  • Familiarity with cloud platforms (AWS, GCP, or Azure) for deploying machine learning models.
  • Excellent problem-solving skills and ability to work in a fast-paced environment.

Nice to Have

  • Experience with natural language processing (NLP) or computer vision projects.
  • Knowledge of containerization technologies like Docker and orchestration tools like Kubernetes.
  • Contributions to open-source projects or publications in relevant fields.

What We Offer

  • Competitive salary ranging from $195,000 to $225,000 per year.
  • Flexible working hours and a fully remote work environment.
  • Opportunities for professional development and continuous learning.
  • Collaborative and inclusive company culture.
  • Health and wellness benefits, including a comprehensive health insurance plan.
Why This Job8.5 of 10

This Senior Software Engineer position at AssemblyAI offers a competitive salary and the opportunity to work on innovative machine learning projects remotely from Europe.

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

Who Will Succeed Here

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Proficient in Python and experienced with machine learning frameworks like TensorFlow and PyTorch, enabling the development of advanced ML models tailored for real-time applications.

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Self-motivated and disciplined, thriving in a fully remote work environment, with a strong ability to manage time effectively and deliver projects independently while collaborating asynchronously with team members.

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Deep understanding of AWS services for deploying machine learning models and managing infrastructure, along with a solid background in data analysis using tools like Pandas and NumPy to derive actionable insights.

Learning Resources

→Python for Data Science Handbookguide
→Deep Learning with PyTorch: A 60 Minute Blitzarticle
→Machine Learning with TensorFlow on Google Cloudcourse

Career Path

Senior Software Engineer - Machine Learning(Now)→Lead Machine Learning Engineer(1-2 years)→Director of Machine Learning(3-5 years)

Market Overview

Market Size 2024
$59B
Annual Growth
22.3%
AI Adoption
51%
Investment
+180%
Labour Demand
+30%
Avg Salary
$135K

Skills & Requirements

Required
PythonMachine LearningTensorFlow
Growing in Demand
Deep LearningNatural Language ProcessingMLOps
Declining
RMATLAB

Domain Trends

Increased Adoption of Automated Machine Learning (AutoML)
Over 40% of companies are integrating AutoML solutions to streamline model development, reducing time-to-market by up to 50%.
Shift to Edge Computing for AI Applications
By 2025, it is projected that 75% of AI processing will occur at the edge, increasing demand for skills in edge AI frameworks.
Focus on Explainable AI (XAI)
A survey shows that 60% of organizations are prioritizing XAI to enhance transparency and trust in AI systems, creating a demand for professionals skilled in this area.

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