Mid Level Senior ML Engineer Jobs
Mid level senior ml engineer jobs go to engineers ready to own model pipelines end to end, mentor junior teammates, and drive architecture decisions with limited oversight. Roles across on-site, remote, and hybrid settings concentrate in Technology & Software, Artificial Intelligence, and Electronics & Hardware, with employers like Scale AI, Pinterest, and Apple hiring at this level now.
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Showing 5 of 185+ Mid Level Senior ML Engineer jobs
INTRODUCTION
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
BASIC 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)
- 4+ 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
PREFERRED QUALIFICATIONS
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
INTRODUCTION
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
BASIC 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)
- 4+ 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
PREFERRED QUALIFICATIONS
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
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Find JobsMid Level Senior ML Engineer Job Market
Who's Hiring
- Scale AI14
- Pinterest8
- Apple7
- Nuro6
- SentiLink6
Top Industries Hiring
- Technology & Software94
- Artificial Intelligence24
- Electronics & Hardware18
- Automotive9
- Transportation & Logistics9
Mid Level Senior ML Engineer Jobs: Frequently Asked Questions
How do I get a mid level senior ml engineer job?
Position yourself around ownership, not just contribution. Highlight projects where you drove the full model lifecycle, from problem framing through deployment and monitoring, and show where your decisions moved a measurable outcome. Recruiters at this level want evidence of reduced oversight, so make that explicit in your resume and conversations. Concrete impact metrics and a clear technical specialty will separate your application from the pack.
Which companies hire mid level senior ml engineers?
Companies hiring mid level senior ml engineers right now include Scale AI, Pinterest, and Apple, based on current listings on Migrate Mate as of November 2026. Hiring at this level covers both large technology firms with established ML platforms and growth-stage companies building out their first production machine learning capabilities.
Are there remote mid level senior ml engineer jobs?
Yes, and remote availability at this level is meaningful. About 34% of mid level senior ml engineer openings are remote or hybrid as of November 2026, reflecting how mature ML teams have normalized distributed collaboration. Hybrid arrangements are common at companies that want engineers accessible for design reviews and on-call rotations while preserving flexibility.
How do I move up to a mid level senior ml engineer role?
The shift from early-career to mid level happens when you move from executing tasks to owning outcomes. Build that by deepening one technical area, such as model evaluation, feature engineering, or production infrastructure, until you are the person others consult. Deliver projects with measurable impact, take on mentorship informally, and document your decisions. That pattern of expanding ownership signals readiness for mid level responsibility.
Which industries hire the most mid level senior ml engineers?
Mid Level senior ml engineer roles concentrate in Technology & Software, Artificial Intelligence, and Electronics & Hardware, based on current listings on Migrate Mate as of November 2026. These sectors drive demand because they operate at the scale where production ML systems create direct business value, making experienced engineers who can own those systems a priority hire.