πChina
Senior Software Engineer, Machine Learning

Persona
π΅ $190k-$250k
πRemote - United States, Canada
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Summary
Join Persona, a configurable identity platform, and tackle challenging machine learning problems to enhance our identity verification and fraud prevention capabilities. You will design, build, and deploy machine learning models, fine-tune large language models, and train vision models. Your research will contribute to cutting-edge advancements in generative AI and deepfake detection. You will collaborate with cross-functional teams and directly with customers to integrate ML solutions and tailor features to their needs. This role requires a product-centric approach, innovative thinking, and expertise in ML techniques. The ideal candidate will be an independent and collaborative team player.
Requirements
- Product-thinker : You build machine learning solutions that maximize product value while minimizing complexity. You understand and can resolve tensions between product requirements and engineering design for large-scale ML projects
- Innovative mindset : You go beyond implementing what is tasked and suggest new algorithms and models that help push our product forward. You are naturally curious and embrace change
- Expertise in ML techniques : You have a strong foundation in machine learning algorithms, deep learning, and computer vision. You stay updated with the latest research and can apply it to solve real-world problems
- Independent thinking : You learn from your mistakes quickly and know how to unblock yourself when needed. You take initiative to tackle new problems and drive them to impactful solutions
- Collaborative spirit : Collaboration isnβt just a buzzword for you; itβs your secret to success. You leverage the diverse perspectives of your teammates and sometimes go out of your way to learn other functions to get the job done
Responsibilities
- Design, build, and deploy machine learning models for identity verification and fraud prevention
- Fine-tune large language models (LLMs) to enhance natural language processing capabilities
- Train and optimize vision models such as CLIP, YOLO and others for image recognition and processing tasks
- Conduct research in generative AI and deepfake technologies to stay ahead of emerging threats
- Collaborate with cross-functional teams to integrate ML solutions into our platform
- Work directly with customers to tailor ML-driven features to their needs
- Handle all different types of scaleβfrom helping a new startup automate their manual processes to supporting enterprises with their Super Bowl Sunday scale
Preferred Qualifications
- 5+ years of experience as a machine learning engineer or in a related role
- Experience with large language models (LLMs) and natural language processing
- Proficiency in training and tuning vision models like YOLO or CLIP
- Familiarity with generative AI and deepfake detection technologies
- Experience with ML frameworks such as TensorFlow or PyTorch
- Background in computer vision, natural language processing, or related fields
- Knowledge of cloud platforms and services related to machine learning deployments
Benefits
- $190,000 - $250,000 a year
- Competitive equity packages
- Medical, dental, and vision
- 3% 401(k) contribution
- Unlimited PTO
- Quarterly mental health days
- Family planning benefits
- Professional development stipends
- Wellness benefits
- Unlimited paid time off
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