Staff Machine Learning Engineer at Ema

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Enterprise SoftwareIndustries

Skills

Key technologies and capabilities for this role

Deep LearningMachine LearningModel DeploymentScalabilityReliabilityData ProtectionInternational Standards ComplianceResearch IntegrationTeam MentoringCross-functional CollaborationTechnical Communication

Questions & Answers

Common questions about this position

What education and experience are required for this Staff Machine Learning Engineer role?

A PhD in Computer Science, Machine Learning, or a related field is required, or a Master’s degree with 8+ years of relevant experience. Candidates need 10+ years of hands-on experience in designing and deploying machine learning models in production environments.

What technical skills are needed for this position?

Proficiency in Python, Java, or C++ is required, along with extensive experience in deep learning frameworks like TensorFlow or PyTorch. Expertise in neural networks, reinforcement learning, generative models, large datasets, and distributed computing systems is also essential.

What does the role involve in terms of team collaboration and mentoring?

You will collaborate with cross-functional teams including data scientists, software engineers, and product managers. The role also includes mentoring and guiding junior engineers and data scientists to foster knowledge sharing and continuous learning.

Is this position remote or does it require office presence?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

Ema

Develops enterprise AI solutions for workforce efficiency

About Ema

Ema develops and implements AI solutions specifically designed for businesses. Their main product is AI employees that can be customized through conversation to learn and perform tasks that exceed human capabilities, allowing companies to quickly expand their workforce. Ema's AI solutions focus on replacing traditional co-pilots with secure and compliant AI employees, meeting strict standards like SOC2, ISO27001, GDPR, HIPAA, and NIST. The EmaFusionTM model combines the strengths of over 100 large language models to deliver high accuracy at a low cost for various enterprise applications. Ema distinguishes itself from competitors by providing tailored solutions that empower businesses to enhance their operational efficiency. The company's goal is to help enterprises take control of their operations and achieve significant improvements in productivity through advanced AI technology.

Mountain View, CaliforniaHeadquarters

2023Year Founded

$59.3MTotal Funding

SERIES_ACompany Stage

Cybersecurity, AI & Machine LearningIndustries

51-200Employees

Benefits

Hybrid Work Options

Risks

Emerging competition from startups like SilkFlo and Kognitos threatens Ema's market share.

Rapid customer base expansion may strain Ema's operational capabilities and service quality.

Reliance on multiple investors may lead to conflicting interests and strategic directions.

Differentiation

EmaFusionTM integrates over 100 LLMs for high accuracy and cost-effectiveness.

Ema offers secure AI employees adhering to SOC2, ISO27001, GDPR, HIPAA, and NIST standards.

Ema's no-code AI agents enable enterprises to deploy AI without extensive technical expertise.

Upsides

Ema's customer base has more than doubled since its launch in March 2024.

Ema secured $50M in Series A funding, enhancing its market position and capabilities.

Growing demand for AI-driven automation aligns with Ema's focus on AI employees.

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