For data Science/Data Analyst/AI/Machine learning positions: Preferred skills Associate or Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering ...
For data Science/Data Analyst/AI/Machine learning positions: Preferred skills Associate or Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering ...
Entry Level Machine Learning information
See Rochester, MN salary details
$12.46 - $13.33
1% of jobs
$13.33 - $14.19
3% of jobs
$14.19 - $15.06
6% of jobs
$15.06 - $15.93
12% of jobs
$16.14 is the 25th percentile. Wages below this are outliers.
$15.93 - $16.79
11% of jobs
The median wage is $17.61 / hr.
$16.79 - $17.66
18% of jobs
$17.66 - $18.53
14% of jobs
$19.11 is the 75th percentile. Wages above this are outliers.
$18.53 - $19.39
15% of jobs
$19.39 - $20.26
10% of jobs
$20.26 - $21.13
7% of jobs
$21.13 - $21.99
3% of jobs
$12
$17
$21
How much do entry level machine learning jobs pay per hour?
As of Aug 6, 2026, the average hourly pay for entry level machine learning in Rochester, MN is $17.75, according to ZipRecruiter salary data. Most workers in this role earn between $15.87 and $19.33 per hour, depending on experience, location, and employer.
What types of projects can an entry level machine learning professional expect to work on in their first year?
As an entry-level machine learning professional, you’ll typically start by supporting more senior data scientists and engineers with tasks such as data cleaning, exploratory data analysis, and building baseline models. You may work on pilot projects like developing recommendation systems, automating simple classification tasks, or contributing to model evaluation and performance tuning. Collaboration with cross-functional teams—including software engineers, product managers, and domain experts—is common, providing valuable exposure to real-world business problems and laying a foundation for more complex responsibilities as you gain experience.
How to get into entry level machine learning with no experience?
Entry level machine learning roles typically require foundational knowledge in programming, statistics, and data analysis. Gaining skills through online courses, practicing with projects, and learning tools like Python, TensorFlow, or scikit-learn can help build a portfolio; internships or entry-level positions can provide practical experience.
What are the key skills and qualifications needed to thrive as an entry level machine learning engineer, and why are they important?
To thrive as an Entry Level Machine Learning Engineer, you need a solid background in mathematics, statistics, and programming (especially in Python), typically supported by a degree in computer science or a related field. Familiarity with machine learning frameworks like TensorFlow or PyTorch, version control systems like Git, and data analysis libraries is commonly required. Strong problem-solving abilities, curiosity, and effective communication skills help differentiate candidates in collaborative and fast-evolving environments. These skills and qualifications are essential for building, testing, and improving machine learning models that drive innovation and business value.
What is the difference between Entry Level Machine Learning vs Data Analyst?
| Aspect | Entry Level Machine Learning | Data Analyst |
|---|---|---|
| Required Credentials | Bachelor's in CS, Math, or related; some knowledge of programming and statistics | Bachelor's in Statistics, Math, or related; proficiency in Excel, SQL, and data visualization tools |
| Work Environment | Tech companies, startups, research labs; focus on developing models and algorithms | Business, finance, marketing; focus on interpreting data and generating reports |
| Employer & Industry Usage | Tech, e-commerce, healthcare; roles involve building predictive models | Retail, finance, consulting; roles involve analyzing data trends and insights |
Entry Level Machine Learning roles focus on developing algorithms and models using programming and statistical skills, often in tech-driven environments. Data Analysts interpret and visualize data to support business decisions, typically using tools like Excel and SQL. While both roles require analytical skills, Machine Learning positions emphasize coding and model development, whereas Data Analysts focus on data interpretation and reporting.
What are entry level machine learning jobs?
Entry-level machine learning jobs focus on creating and using software for the development of artificial intelligence (AI). In this role, you may help program computer software, engineer mechanical solutions, help develop learning objectives, and use analytics to determine whether or not the technology created is meeting development goals. Many entry-level machine learning jobs focus on particular parts of the industry. For example, some companies focus on surveillance and intelligence, while others are creating technology for self-driving vehicles. Employers often use this position as a type of extended learning period to help you develop your skills before you start taking responsibility for major projects.
More about Entry Level Machine Learning jobs
What are the most commonly searched types of Machine Learning jobs in Rochester, MN? The most popular types of Machine Learning jobs in Rochester, MN are:
What are popular job titles related to Entry Level Machine Learning jobs in Rochester, MN? For Entry Level Machine Learning jobs in Rochester, MN, the most frequently searched job titles are:
What job categories do people searching Entry Level Machine Learning jobs in Rochester, MN look for? The top searched job categories for Entry Level Machine Learning jobs in Rochester, MN are:
What cities near Rochester, MN are hiring for Entry Level Machine Learning jobs? Cities near Rochester, MN with the most Entry Level Machine Learning job openings:
Job description
SynergisticIT
Are you passionate about coding or technology and ready to make your mark in tech? For more than 14 years, SynergisticIT has been helping aspiring developers like you excel in the tech industry. We focus on equipping you with the skills and experience needed to not only secure a job but to thrive in your career! Why partner with SynergisticIT?
- Customized inputs to achieve the desired output: designed with industry needs in mind, ensuring you're equipped with the most sought-after skills.
- Exclusive opportunities: Our extensive network allows you to connect with leading tech firms.
- Outstanding outcomes: Many of our candidates land multiple job offers, often with starting salaries of $100k or more!
We're looking for recent grads in Mathematics, Statistics, Computer Science or Engineering or candidates with gaps in their career or people wanting to switch careers into tech. SynergisticIT is committed to supporting your journey! Preferred skills for Java/Full stack/Devops positions: Associate or Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT Knowledge of Core Java, javascript, C++ or software programming Spring boot, Microservices, Docker, Jenkins, Github, Kubernates and REST API's experience.
For data Science/Data Analyst/AI/Machine learning positions: Preferred skills Associate or Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT, Statistics, Mathematics or having good logical aptitude Knowledge of Statistics, Gen AI, LLM, Sagemaker, Python, Computer Vision, data visualization tools Candidates lacking technical skills can research our Job Placement Programs which can assist in landing a job.
If you get emails from our Job Placement team and are not interested please email them or ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team who only connect with candidates who are matching client requirements. No phone calls please. Shortlisted candidates would be reached out. No third party or agency candidates or c2c candidates Embrace your future! We also assist with F1 OPT to transition into H1B and Green Card by providing comprehensive support. All positions are open to candidates of all visa types and US citizens. Are you ready to make an impact?