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Masters In Animal Science Jobs in Ontario (NOW HIRING)

Waymo

PhD or Masters in Computer Science, Machine Learning, Robotics, or a similar technical field; with 3+ years of industry or post-doc research experience in Data-centric AI, Reinforcement Learning or ...

Brockville General Hospital

CA$63.66 - CA$74.46/hr

Master of Science in Nursing or Masters in a relevant discipline * Experience working within an outpatient setting * Experience working within an acute care environment * Experience with chronic ...

Marinabaysands

Degree in Business Analytics,Computer Science, Applied Mathematics, Statistics or other analytical ... Minimum 3 - 5 years of practical experience in data analytics, business analytics or Masters in any ...

Agoda

Lead Analyst (Hybrid/Toronto Based)

Toronto, ON · On-site

It's Great if you Have: * MBA or Masters in a quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance). * Program management certifications (e.g. PMI ...

Targeted Talent

Data Scientist

Ottawa, ON · On-site

$80K - $100K/yr

You Have: * A Masters or PHD in a quantitative field (i.e. Physics, Computer Science, Stats) * 1-2 years' experience developing solutions and working with Python * Confident extracting and ...

Targeted Talent

Data Scientist

Kitchener, ON · On-site

$80K - $100K/yr

You Have: * A Masters or PHD in a quantitative field (i.e. Physics, Computer Science, Stats) * 1-2 years' experience developing solutions and working with Python * Confident extracting and ...

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Masters In Animal Science information

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How much do masters in animal science jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for masters in animal science in Ontario is $30.88, according to ZipRecruiter salary data. Most workers in this role earn between $19.23 and $36.54 per hour, depending on experience, location, and employer.

What is a masters in animal science?

A Masters in Animal Science job typically involves research, teaching, or applied work focused on animal nutrition, genetics, health, or production. Graduates may work in academia, government agencies, agricultural industries, or animal welfare organizations. Roles can include animal nutritionist, livestock consultant, research scientist, or extension specialist. Many positions involve improving animal health, productivity, and sustainability in agriculture. Advanced degrees may also lead to leadership roles in research or policy development.

What are the key skills and qualifications needed to thrive in a masters in animal science position?

To thrive with a Masters in Animal Science, you need advanced knowledge in animal physiology, nutrition, genetics, and research methodologies, supported by a relevant graduate degree. Familiarity with laboratory equipment, data analysis software, and regulatory compliance (such as animal welfare certifications) is typically required. Strong communication, teamwork, and problem-solving skills are highly valued in this role. These competencies are essential to ensure high-quality research, effective animal management, and meaningful collaboration within academic, agricultural, or research institutions.

What types of career paths are available for someone with a masters in animal science?

With a Masters in Animal Science, you can pursue careers in fields such as research, animal nutrition, livestock production management, extension services, regulatory agencies, and academia. Many graduates find opportunities working for agricultural companies, government agencies, universities, or non-profits focused on animal welfare. Some positions involve hands-on animal care or management, while others focus on laboratory research or policy development. This degree also provides a solid foundation for pursuing a PhD or moving into specialized roles in animal genetics, nutrition consulting, or science communication. Career advancement often comes with additional experience, certification, or continuing education in your chosen specialty.

Is a master's degree in animal science worth it?

A master's in animal science can enhance job prospects in research, management, and specialized roles within the field, often leading to higher salaries and advanced positions. It provides in-depth knowledge of animal biology, nutrition, and management, and may require hands-on experience or internships to improve employability.

What can you do with a master's in animal science?

A master's in animal science prepares individuals for careers such as animal nutritionist, livestock manager, research scientist, or animal health specialist. Graduates often work in agricultural settings, laboratories, or regulatory agencies, utilizing skills in animal biology, management, and data analysis.

What kind of job do you get with a Masters in Animal Science degree?

A person with a Masters in Animal Science can pursue careers such as animal scientist, livestock manager, research scientist, or animal nutritionist. These roles often involve working in research facilities, farms, or laboratories, and may require knowledge of animal biology, nutrition, and management practices.

What are popular job titles related to Masters In Animal Science jobs in Ontario?

For Masters In Animal Science jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Masters In Animal Science jobs in Ontario look for?

The top searched job categories for Masters In Animal Science jobs in Ontario are:

What cities in Ontario are hiring for Masters In Animal Science jobs?

Cities in Ontario with the most Masters In Animal Science job openings:

Masters In Animal Science jobs near you
Infographic showing various Masters In Animal Science job openings in Ontario as of August 2026, with employment types broken down into 92% Full Time, 6% Part Time, and 2% Temporary. Highlights an 88% In-person, 4% Hybrid, and 8% Remote job distribution, with an average salary of $64,222 per year, or $30.9 per hour.

Staff Research Scientist, Foundation Models Recipes

Waymo

On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago

Job description

The mission of the Waymo AI Foundations team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of safely operating Waymo vehicles in dozens of cities and under all driving conditions. As part of our work, we also initiate and foster collaborations with other research teams in Alphabet. AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation.

In this hybrid role, you will report to a Senior Director of AI Foundations

You will:

  • Own the data recipe for Waymo's Foundation Model pre-training and post-training
  • Lead and drive science on best practices around clustering, filtering, de-duplication, long-tail data mining, memorization, etc. 
  • Tech-lead a team of research engineers to build the data flywheel to enable the above from Waymo's massive driving data
  • Integrate emerging research from the broader community to do rigorous ablations and promising data research techniques. This includes scaling ladders for pre-training, data mix optimizations and RL recipes (preferences) for post-training. 
  • Engage with the wider research community on best practices around data centric evaluation creation and refinement 
  • Partner with engineering and research teams across Waymo to share recipes, techniques, and post-training best practices to accelerate our collective know-how

You have:

  • PhD or Masters in Computer Science, Machine Learning, Robotics, or a similar technical field; with 3+ years of industry or post-doc research experience in Data-centric AI, Reinforcement Learning or Foundation Models
  • Demonstration of original contributions to the field through high-impact publications (ArXiv, peer-reviewed conferences like NeurIPS/ICLR/CVPR), technical blog posts, or significant open-source contributions
  • Proficiency and in-depth knowledge of the inner workings of an ML framework (e.g. Pytorch, JAX, Tensorflow)

We prefer:

  • Extensive experience working with data and recipes for large scale foundation models
  • ML infra experience: training, evaluating and deploying ML models at scale
  • Deep learning experience, especially with generative models, e.g., LLMs/VLMs, and/or reinforcement learning

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

  • Health, dental, vision, life, disability insurance
  • Retirement Benefits: 401(k) with company match
  • Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
  • Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary)
  • Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
  • Baby Bonding Leave: 18 weeks
  • Holidays: 13 paid days per year

Please note that Waymo may not be able to employ remotely in all locations. Please speak with your recruiter about your preferred location for remote work when you begin the interview process

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