Mid-Level Deep Learning Engineer
current vacancies
Location: Remote/Hybrid
Type: Full-time
About Us
At DNALM, we’re revolutionizing genomics with cutting-edge AI solutions. Our mission is to unlock the full potential of DNA data for research, medicine, and beyond. Join a team at the intersection of deep learning and life sciences to tackle impactful, real-world challenges.
Key Responsibilities
- Develop and optimize deep learning models for genomic data analysis.
- Collaborate with cross-functional teams to design and deploy scalable AI solutions.
- Fine-tune architectures for tasks like sequence analysis, structure prediction, and anomaly detection.
- Work with large-scale biological datasets using advanced preprocessing and augmentation techniques.
- Document and present findings to technical and non-technical stakeholders.
What We’re Looking For
- 2+ years of experience in deep learning, with a strong focus on computer vision, NLP, or sequence modeling.
- Proficiency in frameworks like TensorFlow or PyTorch.
- Solid understanding of neural network architectures, including transformers and CNNs.
- Experience working with biological or genomic datasets is a strong plus.
- -Collaborative mindset with excellent problem-solving skills.
Why Join Us?
Work on groundbreaking technology in a fast-growing field.
Competitive salary and equity options.
Opportunities for professional growth and learning.
How to Apply
Send your resume, portfolio, or GitHub link to victor@dnalm.ai
Type: Full-time
About Us
At DNALM, we’re revolutionizing genomics with cutting-edge AI solutions. Our mission is to unlock the full potential of DNA data for research, medicine, and beyond. Join a team at the intersection of deep learning and life sciences to tackle impactful, real-world challenges.
Key Responsibilities
- Develop and optimize deep learning models for genomic data analysis.
- Collaborate with cross-functional teams to design and deploy scalable AI solutions.
- Fine-tune architectures for tasks like sequence analysis, structure prediction, and anomaly detection.
- Work with large-scale biological datasets using advanced preprocessing and augmentation techniques.
- Document and present findings to technical and non-technical stakeholders.
What We’re Looking For
- 2+ years of experience in deep learning, with a strong focus on computer vision, NLP, or sequence modeling.
- Proficiency in frameworks like TensorFlow or PyTorch.
- Solid understanding of neural network architectures, including transformers and CNNs.
- Experience working with biological or genomic datasets is a strong plus.
- -Collaborative mindset with excellent problem-solving skills.
Why Join Us?
Work on groundbreaking technology in a fast-growing field.
Competitive salary and equity options.
Opportunities for professional growth and learning.
How to Apply
Send your resume, portfolio, or GitHub link to victor@dnalm.ai
Joing us in Shaping the Future
Join us in shaping the future of genomics with AI!
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