Research Staff, Machine Learning Engineer
Deepgram$150,000 - $220,000/year
Full Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
YesVisa
Industrial Automation, Artificial Intelligence, SoftwareIndustries
Requirements
The ideal candidate has 1+ years of experience and is passionate about bringing AI into the physical world, thriving at the intersection of theory and practical application. They should be comfortable navigating both model development and software engineering, and be located in the UK, USA (California, Colorado, Connecticut, Georgia, Florida, Indiana, Maryland, Minnesota, Missouri, Nebraska, New York, North Carolina, Pennsylvania, South Carolina, Tennessee, Texas, Virginia, Washington), or Canada (Ontario, British Columbia, Alberta).
Responsibilities
The AI Research Engineer will build robust ML pipelines for training, evaluation, and deployment of control algorithms. They will work with researchers to implement cutting-edge methods in Deep Learning and Reinforcement Learning, and collaborate with software engineers to integrate models into real-time systems. Responsibilities also include designing tools and infrastructure for large-scale experimentation, performing rigorous evaluations on simulation and real-world data, tuning models for safety, performance, and robustness, and supporting reproducibility and code quality across the team.
Skills
Reinforcement Learning
AI
Industrial Automation
Deep Learning
Python
Data Analysis
Problem Solving
Collaboration
Phaidra
AI virtual plant operators for industrial efficiency
About Phaidra
Phaidra deploys artificial intelligence virtual plant operators to support operations teams in critical facilities. Their AI-powered control systems are designed to enhance stability, energy efficiency, and sustainability by learning and adapting over time. Unlike traditional static control systems that cannot adjust dynamically, Phaidra's technology continuously improves performance, addressing issues of degradation and lack of resiliency in industrial settings. The company has achieved notable success, such as delivering 40% energy savings at Google's data centers, and is expanding its solutions to various sectors, including pharmaceutical production and data centers. Phaidra's goal is to enhance operational efficiency and sustainability for its clients, generating revenue through the implementation and maintenance of its AI-driven systems.
Seattle, WashingtonHeadquarters
2019Year Founded
$41.3MTotal Funding
EARLY_VCCompany Stage
Industrial & Manufacturing, Energy, AI & Machine LearningIndustries
51-200Employees
Benefits
Health Insurance
Dental Insurance
Vision Insurance
Unlimited Paid Time Off
Parental Leave
Home Office Stipend
Company Equity
Risks
Increased competition from AI-driven industrial solutions providers could impact Phaidra's market share.
Rapid AI advancements may require Phaidra to continuously innovate, straining resources.
Potential data privacy concerns and regulatory scrutiny could challenge Phaidra's operations.
Differentiation
Phaidra offers AI solutions for mission-critical facilities, enhancing stability and efficiency.
The company combines AI expertise from Google-Deepmind with industry knowledge from Trane and Johnson Controls.
Phaidra's AI systems adapt and improve over time, unlike static, hard-coded control systems.
Upsides
Phaidra achieved 40% energy savings at Google's data centers, showcasing its effectiveness.
The rise of edge computing complements Phaidra's solutions for real-time analytics and efficiency.
Growing interest in AI-driven predictive maintenance aligns with Phaidra's focus on stability.
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