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Ema Jobs (NOW HIRING)

Ema

Chief of Staff

San Francisco, CA · On-site

About Ema Ema is building the world's leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee ...

Ema

Software Engineer, DevOps

Bodega Bay, CA · On-site

$135K - $225K/yr

About Ema Ema is building the world's leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee ...

Ema

AI Strategist

Bodega Bay, CA · On-site

About Ema Ema is building the world's leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee ...

Ema

Software Engineer, Machine Learning

San Francisco, CA · On-site

$135K - $200K/yr

About Ema Ema is building the world's leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee ...

Ema

Software Engineer, Machine Learning

Bodega Bay, CA · On-site

$135K - $200K/yr

About Ema Ema is building the world's leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee ...

Ema

AI Strategist

San Francisco, CA · On-site

About Ema Ema is building the world's leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee ...

EMA

Senior Business Development Consultant

EMA is looking for an experienced consultant to enhance our active Business Development team. You will play an integral role in creating and sustaining client relationships across all aspects of EMA ...

Ema

Restaurant Manager

Glenview, IL

$55K - $70K/yr

About US Ema, a Mediterranean and California-inspired restaurant from Lettuce Entertain You Restaurants, located on Patriot Blvd in Glenview, marks the second location for Ema. Overview Ema Glenview ...

Ema

Customer Engagement Manager

Bodega Bay, CA · On-site

About Ema Ema is building the world's leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee ...

Ema

Customer Engagement Manager

San Francisco, CA · On-site

About Ema Ema is building the world's leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee ...

EMA INC

Associate Engineer

Saint Paul, MN · On-site

EMA is looking for Early Career Engineers to play a key role in supporting our engineering projects from concept to completion. We'll provide mentorship, training, and opportunities to expand your ...

Ema

Executive Chef

Chicago, IL · On-site

$70K - $100K/yr

About US Ema, located in Chicago's River North, is a Mediterranean restaurant showcasing Chef CJ Jacobson's lighter California style of cooking, highlighting local produce, unique spices and ...

Ema

Executive Chef

Austin, TX

$70K - $100K/yr

About US Ema, located in Austin's Domain Northside neighborhood, is a Mediterranean restaurant showcasing Chef CJ Jacobson's lighter California style of cooking, highlighting local produce, unique ...

Ema

Restaurant Manager

Chicago, IL

$55K - $70K/yr

About US Ema, located in Chicago's River North, is a Mediterranean restaurant showcasing Chef CJ Jacobson's lighter California style of cooking, highlighting local produce, unique spices and ...

Ema

Executive Chef

Chicago, IL

$70K - $100K/yr

About US Ema, located in Chicago's River North, is a Mediterranean restaurant showcasing Chef CJ Jacobson's lighter California style of cooking, highlighting local produce, unique spices and ...

Ema

Restaurant Manager

Chicago, IL · On-site

$55K - $70K/yr

About US Ema, located in Chicago's River North, is a Mediterranean restaurant showcasing Chef CJ Jacobson's lighter California style of cooking, highlighting local produce, unique spices and ...

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Ema information

What is the difference between Ema vs Medical Assistant?

AspectEmaMedical Assistant
CertificationsTypically requires specific Ema certification or trainingRequires CMA, RMA, or similar certification
Work EnvironmentPrimarily in clinics, hospitals, or healthcare facilitiesIn clinics, hospitals, and outpatient settings
Job ResponsibilitiesFocuses on emergency medical procedures, patient assessment, and basic careAssists with patient care, administrative tasks, and clinical support
Industry UsageCommonly used in emergency and urgent care settingsWidely used across healthcare facilities for patient support

While both Ema and Medical Assistants work in healthcare environments, Ema specialists focus more on emergency medical procedures and assessments, often requiring specific emergency certifications. Medical Assistants have broader roles, including administrative and clinical support, and typically hold recognized certifications like CMA or RMA. Understanding these differences helps in choosing the right career path or job search focus.

What job makes $10,000 a month without a degree?

Ema, a role in sales, real estate, or entrepreneurship can potentially earn $10,000 a month without a degree, especially with experience, strong networking skills, and high-value transactions. High commissions, commissions-based roles, or owning a business are common paths to such income levels.
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Ema jobs near you
Software Engineering Lead, Machine Learning

Software Engineering Lead, Machine Learning

Ema

San Francisco, CA • On-site

$135K - $300K/yr

Full-time

Posted 12 days ago

Job description

About Ema
Ema is building the world's leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs.
We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver and Bangalore, Ema is at the frontier of what Agentic AI can do in production - we ship real systems that run real business processes at scale.
Who you are
We're looking for an innovative and passionate Machine Learning Engineers to join our team. You are someone who loves solving complex problems, enjoys the challenges of working with huge data sets, and has a knack for turning theoretical concepts into practical, scalable solutions. You are a strong team player but also thrive in autonomous environments where your ideas can make a significant impact. You love utilizing machine learning techniques to push the boundaries of what is possible within the realm of Natural Language Processing, Information Retrieval and related Machine Learning technologies. Most importantly, you are excited to be part of a mission-oriented high-growth startup that can create a lasting impact.
You will:
  1. Conceptualize, develop, and deploy machine learning models that underpin our NLP, retrieval, ranking, reasoning, dialog and code-generation systems.
  2. Implement advanced machine learning algorithms, such as Transformer-based models, reinforcement learning, ensemble learning, and agent-based systems to continually improve the performance of our AI systems.
  3. Lead the processing and analysis of large, complex datasets (structured, semi-structured, and unstructured), and use your findings to inform the development of our models.
  4. Work across the complete lifecycle of ML model development, including problem definition, data exploration, feature engineering, model training, validation, and deployment.
  5. Implement A/B testing and other statistical methods to validate the effectiveness of models. Ensure the integrity and robustness of ML solutions by developing automated testing and validation processes.
  6. Clearly communicate the technical workings and benefits of ML models to both technical and non-technical stakeholders, facilitating understanding and adoption.

Ideally, you'd have:
  1. A Master's degree or Ph.D. in Computer Science, Machine Learning, or a related quantitative field.
  2. Proven industry experience in building and deploying production-level machine learning models.
  3. Deep understanding and practical experience with NLP techniques and frameworks, including training and inference of large language models.
  4. Deep understanding of any of retrieval, ranking, reinforcement learning, and agent-based systems and experience in how to build them for large systems.
  5. Proficiency in Python and experience with ML libraries such as TensorFlow or PyTorch.
  6. Excellent skills in data processing (SQL, ETL, data warehousing) and experience working with large-scale data systems.
  7. Experience with machine learning model lifecycle management tools, and an understanding of MLOps principles and best practices.
  8. Familiarity with cloud platforms like GCP or Azure.
  9. Familiarity with the latest industry and academic trends in machine learning and AI, and the ability to apply this knowledge to practical projects.
  10. Good understanding of software development principles, data structures, and algorithms.
  11. Excellent problem-solving skills, attention to detail, and a strong capacity for logical thinking.
  12. The ability to work collaboratively in an extremely fast-paced, startup environment.

For California based candidates:
The standard base salary for this position is $135,000-$300,000 annually.
Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.
Ema Unlimited is an equal opportunity employer and is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or genetics.

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