Our expertise in materials and processes, combined with state-of-the-art facilities and collaborative development environment drive continuous improvement, learning, and innovation. Our Team in ...
Our expertise in materials and processes, combined with state-of-the-art facilities and collaborative development environment drive continuous improvement, learning, and innovation. Our Team in ...
Entry Level Machine Learning information
See Edmonton, AB salary details
$31K is the 25th percentile. Wages below this are outliers.
$20K - $32K
27% of jobs
$32K - $44K
22% of jobs
The median wage is $45.2K / yr.
$44K - $56K
5% of jobs
$56K - $68K
1% of jobs
$68K - $80K
9% of jobs
$85.5K is the 75th percentile. Wages above this are outliers.
$80K - $92K
21% of jobs
$92K - $104K
9% of jobs
$104K - $116K
1% of jobs
$116K - $128K
1% of jobs
$128K - $140K
1% of jobs
$140K - $152K
1% of jobs
$20K
$65.3K
$152K
How much do entry level machine learning jobs pay per year?
As of Jun 15, 2026, the average yearly pay for entry level machine learning in Edmonton, AB is $65,272.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,500.00 and $82,000.00 per year, 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.
What is a $900,000 AI job?
A $900,000 AI-related job typically refers to high-level roles such as senior machine learning engineers, AI research directors, or chief AI officers, often found in large tech companies or specialized firms. These positions usually require extensive experience, advanced skills in deep learning, data science, and proficiency with tools like TensorFlow or PyTorch, along with leadership responsibilities and sometimes equity or bonuses. Such salaries are rare and generally reflect seniority, expertise, and the strategic importance of AI initiatives within organizations.
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.
Which 3 jobs will survive AI?
Entry level machine learning roles are likely to persist as they require specialized skills in data analysis, programming, and understanding complex algorithms. Jobs that involve creative thinking, emotional intelligence, or physical tasks, such as data scientists, AI specialists, and software engineers, are expected to remain in demand despite AI advancements.
How to get into machine learning with no experience?
Entry level machine learning roles typically require foundational knowledge in programming, mathematics, and data analysis. Gaining skills through online courses, tutorials, and practicing with projects using tools like Python and libraries such as scikit-learn or TensorFlow can help build a portfolio. Earning certifications or completing relevant coursework can also improve job prospects for beginners.
What are entry level machine learning jobs?
Entry level machine learning jobs are positions designed for individuals just starting their careers in the field of machine learning. These roles typically involve working on data preparation, building and testing basic models, and assisting senior data scientists or engineers. Common job titles include Machine Learning Engineer, Data Analyst, or Junior Data Scientist. Requirements often include proficiency in programming languages such as Python, foundational knowledge of statistics, and experience with machine learning libraries. These jobs provide hands-on experience and mentorship to help new professionals grow their skills.
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.
What engineers make $500,000?
Senior engineers in fields like software, electrical, or aerospace engineering can reach or exceed $500,000 annually, especially with experience, specialized skills, and leadership roles. High-paying positions often require advanced expertise, certifications, and work in competitive industries or companies with lucrative compensation packages.
More about Entry Level Machine Learning jobs
What are the most commonly searched types of Machine Learning jobs in Edmonton, AB? The most popular types of Machine Learning jobs in Edmonton, AB are:
What job categories do people searching Entry Level Machine Learning jobs in Edmonton, AB look for? The top searched job categories for Entry Level Machine Learning jobs in Edmonton, AB are:
What cities near Edmonton, AB are hiring for Entry Level Machine Learning jobs? Cities near Edmonton, AB with the most Entry Level Machine Learning job openings:
Full-time
Posted 7 days ago
Teledyne Technologies rating
8.7
Based on 46 frontline employees who took The Breakroom Quiz
11th of 139 rated electronics manufacturers
Job description
Be visionary
Teledyne Technologies Incorporated provides enabling technologies for industrial growth markets that require advanced technology and high reliability. These markets include aerospace and defense, factory automation, air and water quality environmental monitoring, electronics design and development, oceanographic research, deepwater oil and gas exploration and production, medical imaging and pharmaceutical research.
We are looking for individuals who thrive on making an impact and want the excitement of being on a team that wins.
Job Description
Teledyne MEMS provides MEMS and microfabrication solutions to our customers.Our expertise in materials and processes, combined with state-of-the-art facilities and collaborative development environment drive continuous improvement, learning, and innovation.
Our Team in Edmonton, AB is looking for a Manufacturing Process Operator to join us !
Summary
The Process Operator is responsible for working in a team setting to deliver products that meet quality and cost targets in a manufacturing setting while following standard operating procedures to ensure quality and safety.
Essential Duties & Responsibilities
Perform assigned work adhering to quality standards operating procedures,
Work in a team to meet targets and health and safety standards while ensuring quality on time delivery, and profitability,
Perform routine calibrations, qualifications and set ups to ensure production equipment and standard processes are operation or performing at specified levels,
Manage time and equipment usage efficiently to meet production targets,
Facilitate teamwork within and across shifts,
Stimulate a positive work environment that focuses on quality and best practices,
Demonstrate professional conduct in the workplace, leading with excellent work habits, time management, productivity, quality, and a high level of safety awareness,
Identify opportunities for improvement in efficiency, profitability, material utilization, and tool usage,
Communicate with Production Manager and other team members on issues that affect safety, quality, delivery, and cost,
Assist with improving applicable work instructions, safety procedures, and related quality documentation,
Assist with applicable process development and CI (Continuous Improvement) projects.
Adhere to and recommend improvements to the 5S+1 program and standard contamination protocols in their assigned work area.
Education & Experience
Excellent analytical, problem solving and organizational skills
Experience working in a clean room environment (preferred)
Ability to work in a team and demonstrates leadership qualities
Strong verbal and written communication skills
Teledyne and all of our employees are committed to conducting business with the highest ethical standards. We require all employees to comply with all applicable laws, regulations, rules and regulatory orders. Our reputation for honesty, integrity and high ethics is as important to us as our reputation for making innovative sensing solutions.
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What Teledyne Technologies employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
About Teledyne Technologies
Sourced by ZipRecruiter
Industry
Electrical equipment, appliance, and component manufacturing
Company size
5,001 - 10,000 Employees
Headquarters location
Thousand Oaks, CA, US
Year founded
1960