AI/ML Engineer

BitWords Inc.; San Francisco (CA); Hybrid; USD 140,000 - 200,000; Full time

Benefits offered by this job

Competitive salary

Equity package

Health, dental, vision insurance

Remote-first culture

Learning & development budget

Access to HPC resources

Conference attendance support

Unlimited PTO

Team retreats

Job summary

BitWords Inc. is seeking a skilled Machine Learning Engineer to design and deploy ML solutions spanning LLMs, computer vision, and predictive analytics. The role focuses on production-grade models and scalable ML pipelines, enabling impactful features across our platform.

You will collaborate with engineers and researchers to integrate cutting-edge AI techniques into real-world applications, with an emphasis on performance, reliability, and experimentation in a remote-first but SF-based context.

Qualifications

• 3+ years of experience in machine learning engineering.
• Strong programming skills in Python and ML frameworks.
• Experience with deep learning frameworks (TensorFlow, PyTorch).
• Knowledge of MLOps tools and practices.
• Experience deploying models to production environments.
• Understanding of distributed computing and cloud platforms.
• Strong mathematical foundation in statistics and linear algebra.
• Experience with data preprocessing and feature engineering.

Responsibilities

• Design and implement machine learning models for production systems.
• Work with large language models and fine‑tuning techniques.
• Develop computer vision solutions for image and video processing.
• Build and maintain ML pipelines and model deployment infrastructure.
• Collaborate with data scientists to productionize research models.
• Optimize model performance and scalability.
• Implement MLOps best practices and monitoring systems.
• Stay current with latest AI/ML research and technologies.

Skills

Python programming

ML frameworks

MLOps

Model deployment

Data preprocessing

Feature engineering

Education

Master's or PhD in CS/AI

Nice to have: PhD or MS in related field

Tools

Kubernetes

TensorFlow

PyTorch

Cloud platforms

Job description

Work on cutting‑edge AI solutions including LLMs, computer vision, and predictive analytics for enterprise clients.

San Francisco / Remote | 3+ years | $140k – $200k | Posted 1/10/2024

Join our AI team to develop state‑of‑the‑art machine learning solutions that power intelligent features across our platform. You’ll work on exciting projects involving large language models, computer vision, and predictive analytics that directly impact millions of users. This role offers the unique opportunity to work at the intersection of research and production, implementing cutting‑edge AI techniques in real‑world applications. You’ll collaborate with world‑class engineers and researchers to solve complex problems and push the boundaries of what’s possible with AI.

Key Responsibilities

• Design and implement machine learning models for production systems
• Work with large language models and fine‑tuning techniques
• Develop computer vision solutions for image and video processing
• Build and maintain ML pipelines and model deployment infrastructure
• Collaborate with data scientists to productionize research models
• Optimize model performance and scalability
• Implement MLOps best practices and monitoring systems
• Stay current with latest AI/ML research and technologies

Qualifications

• 3+ years of experience in machine learning engineering
• Strong programming skills in Python and ML frameworks
• Experience with deep learning frameworks (TensorFlow, PyTorch)
• Knowledge of MLOps tools and practices
• Experience deploying models to production environments
• Understanding of distributed computing and cloud platforms
• Strong mathematical foundation in statistics and linear algebra
• Experience with data preprocessing and feature engineering
• PhD or Master’s in Computer Science, AI, or related field (Nice to have)
• Experience with large language models (GPT, BERT, etc.) (Nice to have)
• Computer vision and image processing expertise (Nice to have)
• Knowledge of reinforcement learning techniques (Nice to have)
• Experience with Kubernetes and containerization (Nice to have)
• Published papers or open source contributions (Nice to have)
• Experience with A/B testing and experimentation (Nice to have)
• Knowledge of edge computing and model optimization (Nice to have)

Technical Skills

• Python
• TensorFlow
• PyTorch
• MLOps

Benefits

• Competitive salary and equity package
• Comprehensive health, dental, and vision insurance
• Flexible work arrangements and remote‑first culture
• $5,000 annual learning and development budget
• Access to high‑performance computing resources
• Conference attendance and research publication support
• Unlimited PTO policy
• Annual team retreats and company events