We're looking for a senior-level Machine Learning Engineer who can move quickly while maintaining high quality, owning end-to-end ML pipelines while shaping product features that deliver real-world ...
Quick apply
We're looking for a senior-level Machine Learning Engineer who can move quickly while maintaining high quality, owning end-to-end ML pipelines while shaping product features that deliver real-world ...
Quick apply
We're looking for a senior-level Machine Learning Engineer who can move quickly while maintaining high quality, owning end-to-end ML pipelines while shaping product features that deliver real-world ...
New York, NY · On-site
We're looking for a senior-level Machine Learning Engineer who can move quickly while maintaining high quality, owning end-to-end ML pipelines while shaping product features that deliver real-world ...
New York, NY · On-site
We're looking for a senior-level Machine Learning Engineer who can move quickly while maintaining high quality, owning end-to-end ML pipelines while shaping product features that deliver real-world ...
Manhattan, NY · On-site
$150 - $190/hr
Our team is a passionate mix of engineers across electrical, firmware, software, and machine learning. Core Responsibilities * Architect Physics Foundation Models: Design and train deep learning ...
Manhattan, NY · On-site
$150 - $190/hr
Our team is a passionate mix of engineers across electrical, firmware, software, and machine learning. Core Responsibilities * Architect Physics Foundation Models: Design and train deep learning ...
New York, NY · On-site
We are looking for an engineer with robust experience in machine learning and strong mathematical foundations to join our growing ML team and to help drive the direction of our ML platform. Machine ...
New York, NY · On-site
We are looking for an engineer with robust experience in machine learning and strong mathematical foundations to join our growing ML team and to help drive the direction of our ML platform. Machine ...
Apogee Global RMS is seeking an AI / Machine Learning Engineer to support our enterprise client in New Jersey. This role will focus on designing, building, and deploying advanced AI and computer ...
Quick apply
Apogee Global RMS is seeking an AI / Machine Learning Engineer to support our enterprise client in New Jersey. This role will focus on designing, building, and deploying advanced AI and computer ...
New York, NY · On-site
$112K - $147K/yr
Lead Machine Learning Engineer (IC) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.
New York, NY · On-site
$112K - $147K/yr
Lead Machine Learning Engineer (IC) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.
New York, NY · On-site +1
$112K - $147K/yr
Lead Machine Learning Engineer (IC) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.
New York, NY · On-site +1
$112K - $147K/yr
Lead Machine Learning Engineer (IC) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.
Apogee Global RMS is seeking an AI / Machine Learning Engineer to support our enterprise client in New Jersey. This role will focus on designing, building, and deploying advanced AI and computer ...
Apogee Global RMS is seeking an AI / Machine Learning Engineer to support our enterprise client in New Jersey. This role will focus on designing, building, and deploying advanced AI and computer ...
New York, NY · On-site +1
$209K - $250K/yr
Machine Learning Engineer Location: 55 Water Street, New York, NY 10041 (Telecommuting permitted within normal commuting distance of New York, NY office) Job Duties: Kensho Technologies LLC seeks a ...
New York, NY · On-site +1
$209K - $250K/yr
Machine Learning Engineer Location: 55 Water Street, New York, NY 10041 (Telecommuting permitted within normal commuting distance of New York, NY office) Job Duties: Kensho Technologies LLC seeks a ...
Manhattan, NY · On-site
$140 - $190/hr
Our team is a passionate mix of engineers across electrical, firmware, software, and machine learning. Core Responsibilities * Architect Physics Foundation Models: Design and train deep learning ...
Manhattan, NY · On-site
$140 - $190/hr
Our team is a passionate mix of engineers across electrical, firmware, software, and machine learning. Core Responsibilities * Architect Physics Foundation Models: Design and train deep learning ...
Manhattan, NY · On-site
$120/hr
We're looking for a senior-level Machine Learning Engineer who can move quickly while maintaining high quality, owning end-to-end ML pipelines while shaping product features that deliver real-world ...
Manhattan, NY · On-site
$120/hr
We're looking for a senior-level Machine Learning Engineer who can move quickly while maintaining high quality, owning end-to-end ML pipelines while shaping product features that deliver real-world ...
New York, NY · On-site
Our team is a passionate mix of engineers across electrical, firmware, software, and machine learning. Core Responsibilities * Architect Physics Foundation Models: Design and train deep learning ...
New York, NY · On-site
Our team is a passionate mix of engineers across electrical, firmware, software, and machine learning. Core Responsibilities * Architect Physics Foundation Models: Design and train deep learning ...
Manhattan, NY · On-site
$120 - $150/hr
As a Machine Learning Engineer at WireScreen, you will be working across our data systems to unlock the source of truth behind one of the world's economic powerhouses: China. This role is critical to ...
Manhattan, NY · On-site
$120 - $150/hr
As a Machine Learning Engineer at WireScreen, you will be working across our data systems to unlock the source of truth behind one of the world's economic powerhouses: China. This role is critical to ...
New York, NY · On-site
About the Role We are looking for a Machine Learning Engineer, MLOps to help operationalize and scale our machine learning systems. This is an engineering-focused role centered on building the ...
New York, NY · On-site
About the Role We are looking for a Machine Learning Engineer, MLOps to help operationalize and scale our machine learning systems. This is an engineering-focused role centered on building the ...
New York, NY · On-site
$200K - $300K/yr
Virtu's Research Technology team is looking for an experienced Machine Learning Engineer to join a small group of technologists whose primary function is building the infrastructure that powers our ...
New York, NY · On-site
$200K - $300K/yr
Virtu's Research Technology team is looking for an experienced Machine Learning Engineer to join a small group of technologists whose primary function is building the infrastructure that powers our ...
New York, NY · On-site
$200K - $300K/yr
Virtu's Research Technology team is looking for an experienced Machine Learning Engineer to join a small group of technologists whose primary function is building the infrastructure that powers our ...
New York, NY · On-site
$200K - $300K/yr
Virtu's Research Technology team is looking for an experienced Machine Learning Engineer to join a small group of technologists whose primary function is building the infrastructure that powers our ...
Manhattan, NY · On-site
$84.58 - $126/hr
As an ML Engineer, you will support the implementation of diverse Generative AI and Machine Learning initiatives across the health system. You will drive specific projects forward in collaboration ...
Manhattan, NY · On-site
$84.58 - $126/hr
As an ML Engineer, you will support the implementation of diverse Generative AI and Machine Learning initiatives across the health system. You will drive specific projects forward in collaboration ...
Manhattan, NY · On-site
$215 - $246/hr
As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed ...
Manhattan, NY · On-site
$215 - $246/hr
As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed ...
New York, NY · On-site +1
$112K - $147K/yr
Sr. Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE) , you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.
New York, NY · On-site +1
$112K - $147K/yr
Sr. Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE) , you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.
Jersey City, NJ · On-site
$127K - $168K/yr
As a Senior Machine Learning Engineer, you'll play a crucial role in optimizing orchestration processes and ensuring fast and efficient model deployment and delivery. You'll work closely with ...
Jersey City, NJ · On-site
$127K - $168K/yr
As a Senior Machine Learning Engineer, you'll play a crucial role in optimizing orchestration processes and ensuring fast and efficient model deployment and delivery. You'll work closely with ...
$30.9K - $38.8K
5% of jobs
$38.8K - $46.6K
4% of jobs
$53.4K is the 25th percentile. Wages below this are outliers.
$46.6K - $54.5K
18% of jobs
$54.5K - $62.3K
12% of jobs
The median wage is $65.9K / yr.
$62.3K - $70.1K
24% of jobs
$74.8K is the 75th percentile. Wages above this are outliers.
$70.1K - $78K
20% of jobs
$78K - $85.8K
8% of jobs
$85.8K - $93.7K
4% of jobs
$93.7K - $101.5K
2% of jobs
$101.5K - $109.3K
1% of jobs
$109.3K - $117.2K
1% of jobs
$30.9K
$69.6K
$117.2K
| Aspect | Trainee Machine Learning Engineer | Junior Data Scientist |
|---|---|---|
| Required Credentials | Basic programming, introductory ML knowledge, possibly a degree in CS or related field | Degree in Data Science, Statistics, or related field; some programming experience |
| Work Environment | Internship or entry-level role in tech or AI companies, labs, or startups | Entry-level position in data teams across various industries |
| Employer & Industry Usage | Tech companies, AI startups, research labs | Finance, healthcare, e-commerce, and tech firms |
While both roles are entry-level and involve working with data, a Trainee Machine Learning Engineer focuses more on developing and deploying machine learning models, whereas a Junior Data Scientist emphasizes data analysis, visualization, and insights. The roles often overlap, but the Trainee ML Engineer is more specialized in ML algorithms and model deployment.

Full-time
Re-posted 3 days ago
Canals builds software for wholesale distributors, helping them operate more efficiently through automation and AI.
Our customers are the companies responsible for moving the materials that power the real economy; electrical supplies, plumbing products, roofing materials, HVAC equipment, and more. Every day, thousands of people rely on Canals to help process orders, manage purchasing, handle accounts payable, and streamline critical business workflows.
We're a profitable, rapidly growing company with a team of roughly 100 people distributed across North and South America. We care deeply about building great products, hiring exceptional people, and creating an environment where talented individuals can do the best work of their careers.
The RoleOur customer base is expanding fast, and AI is central to how we scale and deliver value. We’re looking for a senior-level Machine Learning Engineer who can move quickly while maintaining high quality, owning end-to-end ML pipelines while shaping product features that deliver real-world impact.
What You’ll DoDesign, build, and maintain scalable machine learning models that improve and automate logistics processes for our customers.
Own projects end-to-end, from problem definition and data exploration to model deployment and monitoring in production.
Collaborate closely with engineering teams to align ML work with customer needs and deliver features that drive business value.
Serve as a technical leader and mentor within the ML area, reviewing code and ensuring best practices for reproducibility, quality, and performance.
Evaluate and implement tools and frameworks to improve our ML infrastructure and workflows.
Help shape the future of Canals as we continue scaling with our customers.
Senior-level experience building and deploying machine learning models in production environments.
Experience designing scalable data pipelines and working with large datasets.
Comfort taking ownership of projects and ensuring models deliver real, measurable customer value.
Strong Python skills with knowledge of ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow) and data tools (e.g., Pandas, Spark).
Ability to guide and unblock others, providing thoughtful code reviews and architectural feedback.
Experience working independently in a fast-paced, product-focused environment.
Previous experience in high-growth startups or small teams is a plus.
Familiarity with MLOps practices and tools is a plus.
We're building software that solves real problems for an industry that keeps the world running. Our customers rely on our platform every day to operate their businesses.
We've found strong product-market fit and continue to grow quickly, creating opportunities for people who want to have a meaningful impact on the trajectory of a company.
We believe great people build great companies. That's why we invest heavily in hiring, development, and creating an environment where talented individuals can do the best work of their careers.
You'll work alongside ambitious, thoughtful teammates who care deeply about what they do, challenge each other directly, and have a lot of fun along the way.
We value ownership, transparency, and continuous improvement. Good ideas can come from anywhere, and people are trusted to make things happen.
We're remote-first, flexible, and distributed across North and South America, bringing together talented people from a wide range of backgrounds and experiences.
Canals.ai is an equal opportunity employer. In addition to EEO being the law, it is a policy that is fully consistent with our principles. All qualified applicants will receive consideration for employment without regard to status as a protected veteran or a qualified individual with a disability, or other protected status such as race, religion, color, national origin, sex, sexual orientation, gender identity, genetic information, pregnancy or age.