Senior Machine Learning Engineer - Machine Learning Infrastructure
FlipSalary not specified
Full Time
Senior (5 to 8 years)
$168,000 – $210,000Compensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Physical Security, AI, TechnologyIndustries
Requirements
- 4+ years of industry experience
- BS/MS in Computer Science or related field with a strong programming background
- Strong background in machine learning and deep learning. A background in computer vision is a strong plus
- Proficient in designing and building scalable machine learning infrastructure, including experience with distributed systems
- Expertise in programming languages, especially Python, and sound knowledge of software development best practices
- Experience in designing and implementing data engines for collecting and managing training data
- Experience with integrating advanced AI models, including LLMs, LVMs, and RAG, into production systems is a strong plus
- Strong collaboration and communication skills for effective teamwork with research scientists, product teams, and stakeholders
- Proactive problem-solving ability, a mindset for innovation, and adaptability to incorporate new technologies and methodologies
Responsibilities
- Design and build machine learning infrastructure to run state-of-the-art deep-learning models on many terabytes of video in real time
- Build a data engine to collect training data and continuously train and evaluate Ambient.ai's computer vision models
- Partner with research scientists to deliver the latest AI advancements, including LLM and LVMs, to product and customers
- Develop a robust data engine for collecting training data, ensuring scalability and efficiency in continuous model training and evaluation
- Collaborate with research scientists to integrate state-of-the-art AI advancements, including LLMs and LVMs, into the company's computer vision models
- Play a pivotal role in building and maintaining cutting-edge machine-learning infrastructure
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What is the salary range for the Senior Software Engineer, ML Infra position?
The salary range is $168K - $210K.
What is the work location and in-office policy at Ambient.ai?
Engineering teams work from the Redwood City office 3 days per week, and all other Bay Area employees join on Fridays. In-person time supports collaboration, creativity, and team alignment.
What skills are required for this Senior Software Engineer role?
Candidates need 4+ years of industry experience, BS/MS in Computer Science or related field, strong background in machine learning and deep learning (computer vision a plus), proficiency in designing scalable ML infrastructure with distributed systems, expertise in Python, and experience with data engines for training data.
What is the company culture like at Ambient.ai?
The company emphasizes in-person collaboration for creativity and team alignment, with engineering teams in the Redwood City office 3 days a week and Bay Area employees gathering on Fridays.
What makes a strong candidate for this ML Infra Engineer role?
A strong candidate has 4+ years of experience, a CS degree, deep ML expertise, skills in scalable infrastructure and Python, plus experience with data engines and integrating advanced AI models like LLMs and LVMs.
Ambient.ai
AI software for proactive physical security
About Ambient.ai
Ambient.ai enhances physical security systems with software that uses artificial intelligence and computer vision. The technology helps security teams shift from reactive to proactive operations by detecting unusual changes in human behavior and locations, without relying on facial recognition. This approach respects privacy while providing AI-verified alerts that reduce false alarms and improve efficiency. The company aims to serve organizations needing security solutions while continuously adapting to the evolving risk landscape.
Palo Alto, CaliforniaHeadquarters
2017Year Founded
$70.2MTotal Funding
LATE_VCCompany Stage
Cybersecurity, AI & Machine LearningIndustries
51-200Employees
Benefits
Healthcare - Medical premiums are covered up to 95% for employees. Dental and Vision is covered at 75%.
401(k) - Choose our pre-tax or Roth 401K plan options, via Guideline, to save for retirement
WFH Stipends - We offer monthly reimbursement for phone and monthly reimbursement for wifi
Time Off - Employees need to recharge their batteries: it improves productivity, creativity and overall job satisfaction! Get your work done, loop in your manager and take a reasonable amount of time off
Employee Resource Group - Join or start one!
Other - Employee Assistance Program and Legal Services
Early Stock Option Exercise
Life Insurance
Visa & Greencard Sponsorship
Risks
Emerging AI security startups increase competition, threatening market share.
Privacy concerns and regulatory scrutiny could impact operations in strict regions.
Dependence on venture capital funding poses financial risks if future rounds falter.
Differentiation
Ambient.ai uses AI to detect behavior changes, not facial recognition, ensuring privacy.
The platform integrates with existing security systems, enhancing proactive threat detection.
Real-time adaptation through threat signatures allows for dynamic response to security risks.
Upsides
Rising demand for AI-driven analytics enhances Ambient.ai's market potential.
Integration with IoT devices offers comprehensive security solutions for clients.
Edge computing adoption accelerates data processing, improving threat detection efficiency.
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