Machine Learning Engineer Company: HeyMilo AI Location: New York, NY, USA Contract Details: Full-time HeyMilo AI is a fast-growing startup based in New York City that specializes in developing ...
Machine Learning Engineer Company: HeyMilo AI Location: New York, NY, USA Contract Details: Full-time HeyMilo AI is a fast-growing startup based in New York City that specializes in developing ...
We are looking for a Machine Learning Engineer to help us create artificial intelligence products. Machine Learning Engineer responsibilities include creating machine learning models and retraining ...
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We are looking for a Machine Learning Engineer to help us create artificial intelligence products. Machine Learning Engineer responsibilities include creating machine learning models and retraining ...
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The Machine Learning Engineer will be responsible for designing and developing machine learning systems, implementing appropriate ML algorithms, conducting experiments, and improving the product.
Machine Learning Engineer
New York, NY · On-site
The Machine Learning Engineer will be responsible for designing and developing machine learning systems, implementing appropriate ML algorithms, conducting experiments, and improving the product.
The Machine Learning Engineer will be responsible for designing and developing machine learning systems, implementing appropriate ML algorithms, conducting experiments, and improving the product.
The Machine Learning Engineer will be responsible for designing and developing machine learning systems, implementing appropriate ML algorithms, conducting experiments, and improving the product.
Trainee Machine Learning Engineer information
What engineers make $500,000?
Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-demand industries or at large tech companies can earn $500,000 or more annually. Compensation may include base salary, bonuses, and stock options, especially in competitive markets or executive-level roles.
Can I get into AI with no experience?
The Trainee Machine Learning Engineer role typically requires some foundational knowledge of programming, mathematics, and data analysis. While prior experience is not always mandatory, gaining skills in Python, machine learning frameworks, and completing relevant courses or certifications can improve your chances of entering the field.
Can I learn ML in 3 months?
A Trainee Machine Learning Engineer can acquire foundational knowledge in three months by focusing on core concepts such as algorithms, programming in Python, and data handling. However, mastering advanced topics and gaining practical experience typically requires longer, ongoing learning and project work.
What is the difference between Trainee Machine Learning Engineer vs Junior Data Scientist?
| Aspect | Trainee Machine Learning Engineer | Junior Data Scientist |
|---|---|---|
| Required Credentials | Basic programming, introductory ML knowledge, possibly a degree in CS or related field | Degree in Data Science, Statistics, or related field; some programming experience |
| Work Environment | Internship or entry-level role in tech or AI companies, labs, or startups | Entry-level position in data teams across various industries |
| Employer & Industry Usage | Tech companies, AI startups, research labs | Finance, healthcare, e-commerce, and tech firms |
While both roles are entry-level and involve working with data, a Trainee Machine Learning Engineer focuses more on developing and deploying machine learning models, whereas a Junior Data Scientist emphasizes data analysis, visualization, and insights. The roles often overlap, but the Trainee ML Engineer is more specialized in ML algorithms and model deployment.
Which 5 jobs will survive AI?
For a Trainee Machine Learning Engineer, roles that require complex problem-solving, creativity, and human judgment—such as AI ethics specialists, data scientists, AI product managers, research scientists, and domain-specific consultants—are likely to persist despite advances in AI. These jobs often involve understanding nuanced contexts, strategic decision-making, and interpersonal skills that are difficult for AI to replicate. Developing expertise in areas like critical thinking, communication, and specialized knowledge will enhance job security in the evolving AI landscape.
What are the most commonly searched types of Machine Learning Engineer jobs in New York? The most popular types of Machine Learning Engineer jobs in New York are:
What are popular job titles related to Trainee Machine Learning Engineer jobs in New York? For Trainee Machine Learning Engineer jobs in New York, the most frequently searched job titles are:
What job categories do people searching Trainee Machine Learning Engineer jobs in New York look for? The top searched job categories for Trainee Machine Learning Engineer jobs in New York are:
What cities in New York are hiring for Trainee Machine Learning Engineer jobs? Cities in New York with the most Trainee Machine Learning Engineer job openings:
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Posted 20 days ago
Job description
About the job Machine Learning Engineer
Job Title: Machine Learning Engineer
Company: HeyMilo AI
Location: New York, NY, USA
Contract Details: Full-time
HeyMilo AI is a fast-growing startup based in New York City that specializes in developing cutting-edge artificial intelligence solutions for various industries. We are seeking a highly skilled and motivated Machine Learning Engineer to join our dynamic team.
As a Machine Learning Engineer at HeyMilo AI, you will be responsible for designing, developing, and deploying machine learning models and algorithms to solve complex business problems. You will work closely with our data scientists, software engineers, and product managers to understand business requirements and develop solutions that meet our clients' needs.
Key Responsibilities:
- Design and implement machine learning models and algorithms to solve business problems
- Collaborate with data scientists to gather and preprocess data for model training and evaluation
- Develop and maintain data pipelines and infrastructure for efficient data processing and model deployment
- Conduct experiments and perform data analysis to evaluate model performance and identify areas for improvement
- Keep up-to-date with the latest advancements in machine learning and apply them to improve our products and services
- Work closely with cross-functional teams to integrate machine learning solutions into our products and services
- Communicate complex technical concepts to non-technical stakeholders and provide support and guidance to other team members
Qualifications:
- Bachelor's or Master's degree in Computer Science, Mathematics, or a related field
- Minimum of 3 years of experience in developing machine learning models and algorithms
- Strong programming skills in Python, and experience with machine learning libraries such as TensorFlow, PyTorch, or scikit-learn
- Experience with software engineering best practices, including version control, testing, and code review
- Solid understanding of machine learning concepts and techniques, such as supervised and unsupervised learning, deep learning, and reinforcement learning
- Experience with data preprocessing and feature engineering techniques
- Strong problem-solving skills and ability to think creatively to come up with innovative solutions
- Excellent communication and teamwork skills
- Experience with cloud computing platforms, such as AWS or Google Cloud, is a plus
- Experience with natural language processing (NLP) and computer vision is a plus
At HeyMilo AI, we value diversity and inclusivity and are committed to creating a positive and collaborative work environment. We offer competitive salaries, comprehensive benefits, and opportunities for growth and development.
If you are passionate about using machine learning to solve real-world problems and want to be a part of a dynamic and innovative team, we want to hear from you! Apply now to join our team as a Machine Learning Engineer and help us shape the future of AI.