Senior Software Engineer - AI Data Remote
About the Role
AssemblyAI is hiring a full-time Senior Software Engineer, AI Data Remote, working remotely from Europe. In this role, you will be at the forefront of developing innovative AI solutions that enhance our data processing capabilities. You will collaborate with a talented team of engineers and data scientists to create scalable systems that leverage machine learning and artificial intelligence.
What You'll Do
- Design and implement robust software solutions for AI data processing.
- Collaborate with cross-functional teams to define and deliver high-quality products.
- Optimize existing systems and algorithms for performance and scalability.
- Mentor junior engineers and contribute to their professional growth.
- Stay updated with the latest trends in AI and software engineering to drive innovation.
Requirements
- 5+ years of experience in software engineering, with a focus on AI and data.
- Proficiency in programming languages such as Python, Java, or C++.
- Strong understanding of machine learning algorithms and data structures.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- Excellent problem-solving skills and ability to work independently in a remote environment.
Nice to Have
- Experience with data visualization tools and techniques.
- Familiarity with big data technologies (Hadoop, Spark).
- Knowledge of natural language processing (NLP) techniques.
What We Offer
- Competitive salary ranging from €141,267 to €184,512 annually.
- Flexible working hours and a fully remote work environment.
- Opportunities for professional development and continuous learning.
- Health and wellness benefits.
- A collaborative and inclusive company culture.
This Senior Software Engineer role at AssemblyAI offers a competitive salary and the opportunity to work on innovative AI solutions in a fully remote environment.
Who Will Succeed Here
Proficient in Python and C++ with extensive experience in building scalable machine learning models, particularly in a cloud environment using AWS or GCP.
Self-motivated and disciplined in a remote work setting, demonstrating the ability to manage time effectively while collaborating with cross-functional teams across different time zones.
Strong problem-solving mindset with a focus on developing innovative algorithms for data processing, coupled with hands-on experience in container orchestration using Docker and Kubernetes.
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