OPT Learning Specialist Jobs
Learning Specialist jobs are a strong fit for F-1 OPT students with degrees in education, instructional design, psychology, or a related field. Most roles qualify as specialty occupations under OPT work authorization. STEM OPT extension eligibility depends on your specific degree classification, so verify your CIP code with your DSO before applying.
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Working at Atlassian
Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity.
Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Atlassian is seeking a Senior Machine Learning Engineer to join our Central AI team.
The Central AI organization constructs the fundamental infrastructure, data pipeline, frameworks, models, and other capabilities to expedite AI feature development throughout the entire company.
YOUR FUTURE TEAM
The Central AI org is part of the larger Atlassian Intelligence program. Its purpose is to accelerate AI innovation across all our products and platform, provide cohesive AI experiences and set up an Atlassian AI infrastructure for the future. Additionally, Central AI is responsible for developing some of the core shared experiences typical in the AI domain, such as search, knowledge discovery, and conversation.
Responsibilities:
What you’ll do
As a Senior Machine Learning engineer, you will work on the development and implementation of the cutting-edge machine learning algorithms, training sophisticated models, collaborating with product, engineering, and analytics teams, to build the AI functionalities into each Atlassian product and service.
Your daily responsibilities will encompass a broad spectrum of tasks such as designing system and model architectures, conducting rigorous experimentation and model evaluations, and providing guidance to junior ML engineers. Your role is pivotal, stretching beyond these tasks, ensuring AI's transformative potential is realized across our offerings.
PAY RANGES:
In The United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are:
Zone A: $206,100 - $269,075
Zone B: $185,490 - $242,168
Zone C: $171,063 - $223,332
QUALIFICATIONS
On the first day, we'll expect you to have
Bachelor's or Master's degree (preferably a Computer Science degree or equivalent experience)
3+ years of related industry experience in the data science domain
Expertise in Python or Java with the ability to write performant production-quality code, familiarity with SQL, knowledge of Spark and cloud data environments (e.g. AWS, Databricks)
Experience building and scaling machine learning models in business applications using large amounts of data
Agile development mindset, appreciating the benefit of constant iteration and improvement
It's great, but not required, if you have
Experience working in a consumer or B2C space for a SaaS product provider, or the enterprise/B2B space
Experience in developing deep learning-based models and working on LLM-related applications
Excelling in solving ambiguous and complex problems, being able to navigate through uncertain situations, breaking down complex challenges into manageable components and developing innovative solutions
COMPENSATION
At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. To support this goal, the baseline of our range is higher than that of the typical market range, but in turn, we expect to hire most candidates near this baseline. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience.
In the United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are:
Zone A: $206,100 - $269,075
Zone B: $185,490 - $242,168
Zone C: $171,063 - $223,332
This role may also be eligible for benefits, bonuses, commissions, and equity.
Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones.
Please visit go.atlassian.com/perksandbenefits to learn more about our perks and benefits.
ABOUT ATLASSIAN
At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.
We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.
To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.
To learn more about our culture and hiring process, visit go.atlassian.com/crh.
Overview:
Working at Atlassian
Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity.
Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Atlassian is seeking a Senior Machine Learning Engineer to join our Central AI team.
The Central AI organization constructs the fundamental infrastructure, data pipeline, frameworks, models, and other capabilities to expedite AI feature development throughout the entire company.
YOUR FUTURE TEAM
The Central AI org is part of the larger Atlassian Intelligence program. Its purpose is to accelerate AI innovation across all our products and platform, provide cohesive AI experiences and set up an Atlassian AI infrastructure for the future. Additionally, Central AI is responsible for developing some of the core shared experiences typical in the AI domain, such as search, knowledge discovery, and conversation.
Responsibilities:
What you’ll do
As a Senior Machine Learning engineer, you will work on the development and implementation of the cutting-edge machine learning algorithms, training sophisticated models, collaborating with product, engineering, and analytics teams, to build the AI functionalities into each Atlassian product and service.
Your daily responsibilities will encompass a broad spectrum of tasks such as designing system and model architectures, conducting rigorous experimentation and model evaluations, and providing guidance to junior ML engineers. Your role is pivotal, stretching beyond these tasks, ensuring AI's transformative potential is realized across our offerings.
PAY RANGES:
In The United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are:
Zone A: $206,100 - $269,075
Zone B: $185,490 - $242,168
Zone C: $171,063 - $223,332
QUALIFICATIONS
On the first day, we'll expect you to have
Bachelor's or Master's degree (preferably a Computer Science degree or equivalent experience)
3+ years of related industry experience in the data science domain
Expertise in Python or Java with the ability to write performant production-quality code, familiarity with SQL, knowledge of Spark and cloud data environments (e.g. AWS, Databricks)
Experience building and scaling machine learning models in business applications using large amounts of data
Agile development mindset, appreciating the benefit of constant iteration and improvement
It's great, but not required, if you have
Experience working in a consumer or B2C space for a SaaS product provider, or the enterprise/B2B space
Experience in developing deep learning-based models and working on LLM-related applications
Excelling in solving ambiguous and complex problems, being able to navigate through uncertain situations, breaking down complex challenges into manageable components and developing innovative solutions
COMPENSATION
At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. To support this goal, the baseline of our range is higher than that of the typical market range, but in turn, we expect to hire most candidates near this baseline. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience.
In the United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are:
Zone A: $206,100 - $269,075
Zone B: $185,490 - $242,168
Zone C: $171,063 - $223,332
This role may also be eligible for benefits, bonuses, commissions, and equity.
Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones.
Please visit go.atlassian.com/perksandbenefits to learn more about our perks and benefits.
ABOUT ATLASSIAN
At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.
We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.
To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.
To learn more about our culture and hiring process, visit go.atlassian.com/crh.
See all 697+ OPT Learning Specialist Jobs
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Get Access To All JobsTips for Finding OPT Sponsorship as a Learning Specialist
Verify your role qualifies as a specialty occupation
Learning Specialist positions typically require a degree in education, instructional design, or psychology. Confirm the job description explicitly states a degree requirement in a specific field, not just any bachelor's degree, before accepting an offer.
Check your STEM OPT eligibility early
Instructional design and educational technology degrees may qualify for the 24-month STEM extension. Ask your DSO to verify your CIP code before applying so you know your full authorization window upfront when negotiating timelines with employers.
Target employers with existing OPT hiring history
Large school districts, edtech companies, universities, and corporate L&D departments hire Learning Specialists regularly and are more familiar with OPT work authorization. Smaller tutoring centers may hesitate due to unfamiliarity with the process.
Address OPT timing transparently with hiring managers
Be upfront about your OPT end date and STEM extension eligibility. Framing it as a known, manageable timeline with a clear H-1B visa sponsorship path reassures employers more than leaving authorization details vague during interviews.
Highlight curriculum design and LMS experience specifically
Employers filing H-1B or E-3 visa petitions need to justify the specialty occupation requirement. Roles involving Canvas, Moodle, or structured instructional design methodologies like ADDIE are easier to document as requiring specialized degree-level knowledge.
Use Migrate Mate to find OPT-friendly Learning Specialist roles
Migrate Mate filters jobs by visa sponsorship willingness, so you spend time on employers already open to OPT candidates rather than guessing which organizations will engage with your work authorization situation.
Learning Specialist OPT: Frequently Asked Questions
Do Learning Specialist jobs qualify for OPT work authorization?
Most Learning Specialist roles qualify because they require a degree in a specific field such as education, instructional design, or psychology, meeting the specialty occupation standard. The key is confirming the job posting states a field-specific degree requirement rather than accepting any bachelor's degree. Review the offer letter with your DSO before accepting.
Can I get a STEM OPT extension as a Learning Specialist?
It depends on your degree's CIP code, not your job title. Degrees in instructional design, educational technology, or learning sciences often carry STEM-designated CIP codes that qualify for the 24-month extension. Degrees in general education or psychology typically do not. Your DSO can confirm your eligibility by reviewing your degree's official CIP classification before you apply.
Which types of employers are most likely to sponsor Learning Specialists?
Corporate learning and development departments at large companies, edtech firms, universities, and hospital systems are the most common sponsors. These organizations have dedicated HR teams familiar with OPT and H-1B processes. K-12 school districts vary considerably by state and district size. Browse Migrate Mate to identify which employers are actively open to sponsoring OPT candidates in this field.
What happens to my OPT status if my Learning Specialist contract ends early?
You have a 60-day grace period from your last day of authorized employment to find a new qualifying position, transfer to a different visa status, or depart the United States. Unemployment during OPT also counts against a 90-day aggregate unemployment limit, so beginning your job search immediately matters. Notify your DSO as soon as your employment situation changes.
Does working as a freelance Learning Specialist count toward OPT employment?
Yes, self-employment is permitted on OPT as long as the work falls within your degree field and you can document it as a legitimate business providing services consistent with your specialty occupation. You must report the self-employment to your DSO and maintain records of your work. Purely informal tutoring without a structured business arrangement is harder to document and may not satisfy OPT employment requirements.