AI Engineer (Pre-Sales)
New York, NY · On-site
At Adaptive ML, our Success team is part of our Technical Staff. Our Technical Staff develops the foundational technology that powers Adaptive ML, while the Success Team ensures our enterprise ...
AI Engineer (Pre-Sales)
New York, NY · On-site
At Adaptive ML, our Success team is part of our Technical Staff. Our Technical Staff develops the foundational technology that powers Adaptive ML, while the Success Team ensures our enterprise ...
Performance Engineer, Rust
New York, NY · On-site
About Adaptive ML Adaptive ML is a frontier AI startup building a Reinforcement Learning Operations (RLOps) platform that enables enterprises to specialize and deploy LLMs into production with ...
Performance Engineer, Rust
New York, NY · On-site
About Adaptive ML Adaptive ML is a frontier AI startup building a Reinforcement Learning Operations (RLOps) platform that enables enterprises to specialize and deploy LLMs into production with ...
Adaptive ML is a frontier AI startup building a Reinforcement Learning Operations (RLOps) platform. They are seeking a Performance Engineer to join their core engineering team, focusing on high ...
Adaptive ML is a frontier AI startup building a Reinforcement Learning Operations (RLOps) platform. They are seeking a Performance Engineer to join their core engineering team, focusing on high ...
Forward Deployed AI Engineer
New York, NY · On-site
About the team Adaptive ML is a frontier AI startup building a Reinforcement Learning Operations (RLOps) platform that enables enterprises to specialize and deploy LLMs into production with ...
Forward Deployed AI Engineer
New York, NY · On-site
About the team Adaptive ML is a frontier AI startup building a Reinforcement Learning Operations (RLOps) platform that enables enterprises to specialize and deploy LLMs into production with ...
Enterprise Account Executive
New York, NY · On-site
About the team Adaptive ML is building a reinforcement learning platform to tune, evaluate, and serve specialized language models. We are pioneering the development of task-specific LLMs using ...
Enterprise Account Executive
New York, NY · On-site
About the team Adaptive ML is building a reinforcement learning platform to tune, evaluate, and serve specialized language models. We are pioneering the development of task-specific LLMs using ...
About the team Adaptive ML is a frontier AI startup building a Reinforcement Learning Operations (RLOps) platform that enables enterprises to specialize and deploy LLMs into production with ...
About the team Adaptive ML is a frontier AI startup building a Reinforcement Learning Operations (RLOps) platform that enables enterprises to specialize and deploy LLMs into production with ...
Member of Technical Staff (intern)
New York, NY · On-site
$18.25 - $23.75/hr
About the team Adaptive ML is a frontier AI startup building a Reinforcement Learning Operations (RLOps) platform that enables enterprises to specialize and deploy LLMs into production with ...
Member of Technical Staff (intern)
New York, NY · On-site
$18.25 - $23.75/hr
About the team Adaptive ML is a frontier AI startup building a Reinforcement Learning Operations (RLOps) platform that enables enterprises to specialize and deploy LLMs into production with ...
Adaptive ML is a frontier AI startup building a Reinforcement Learning Operations (RLOps) platform that enables enterprises to specialize and deploy LLMs into production with measurable impact. As a ...
Adaptive ML is a frontier AI startup building a Reinforcement Learning Operations (RLOps) platform that enables enterprises to specialize and deploy LLMs into production with measurable impact. As a ...
BDR Manager
New York, NY · On-site
About the team Adaptive ML is a frontier AI startup building a Reinforcement Learning Operations (RLOps) platform that enables enterprises to specialize large language models and deploy them reliably ...
BDR Manager
New York, NY · On-site
About the team Adaptive ML is a frontier AI startup building a Reinforcement Learning Operations (RLOps) platform that enables enterprises to specialize large language models and deploy them reliably ...
About the team Adaptive ML is a frontier AI startup building a Reinforcement Learning Operations (RLOps) platform that enables enterprises to specialize and deploy LLMs into production with ...
About the team Adaptive ML is a frontier AI startup building a Reinforcement Learning Operations (RLOps) platform that enables enterprises to specialize and deploy LLMs into production with ...
Executive Assistant
New York, NY · On-site
About Adaptive ML Adaptive ML is a frontier AI startup building a Reinforcement Learning Operations (RLOps) platform that enables enterprises to specialize and deploy LLMs into production with ...
Executive Assistant
New York, NY · On-site
About Adaptive ML Adaptive ML is a frontier AI startup building a Reinforcement Learning Operations (RLOps) platform that enables enterprises to specialize and deploy LLMs into production with ...
About the team Adaptive ML is building a reinforcement learning platform to tune, evaluate, and serve specialized language models. We are pioneering the development of task-specific LLMs using ...
About the team Adaptive ML is building a reinforcement learning platform to tune, evaluate, and serve specialized language models. We are pioneering the development of task-specific LLMs using ...
ML Developer Experience Engineer About the Team Adaptive ML is a frontier AI startup building a Reinforcement Learning Operations (RLOps) platform that enables enterprises to specialise and deploy ...
ML Developer Experience Engineer About the Team Adaptive ML is a frontier AI startup building a Reinforcement Learning Operations (RLOps) platform that enables enterprises to specialise and deploy ...
ML Developer Experience Engineer About the Team Adaptive ML is a frontier AI startup building a Reinforcement Learning Operations (RLOps) platform that enables enterprises to specialise and deploy ...
ML Developer Experience Engineer About the Team Adaptive ML is a frontier AI startup building a Reinforcement Learning Operations (RLOps) platform that enables enterprises to specialise and deploy ...
Founding Machine Learning Engineer
New York, NY · On-site
$90.30K - $120.30K/yr
Role We are seeking a Founding ML Engineer to define and build Adaptive's ML capabilities. Our products use LLMs and ML models to detect, classify, and respond to cybersecurity threats in real time.
Founding Machine Learning Engineer
New York, NY · On-site
$90.30K - $120.30K/yr
Role We are seeking a Founding ML Engineer to define and build Adaptive's ML capabilities. Our products use LLMs and ML models to detect, classify, and respond to cybersecurity threats in real time.
Customer Success Engineer
New York, NY · On-site
ABOUT THE TEAM Adaptive ML is a frontier AI startup building a Reinforcement Learning Operations (RLOps) platform that enables enterprises to specialise and deploy LLMs into production with ...
Customer Success Engineer
New York, NY · On-site
ABOUT THE TEAM Adaptive ML is a frontier AI startup building a Reinforcement Learning Operations (RLOps) platform that enables enterprises to specialise and deploy LLMs into production with ...
RevOps Manager
Boston, NY · On-site
$107.80K - $110.20K/yr
RevOps Manager About the team Adaptive ML is a frontier AI startup building a Reinforcement Learning Operations (RLOps) platform that enables enterprises to specialize large language models and ...
RevOps Manager
Boston, NY · On-site
$107.80K - $110.20K/yr
RevOps Manager About the team Adaptive ML is a frontier AI startup building a Reinforcement Learning Operations (RLOps) platform that enables enterprises to specialize large language models and ...
Founding Machine Learning Engineer
Manhattan, NY · On-site
$90.90K - $121.30K/yr
Role We are seeking a Founding ML Engineer to define and build Adaptive's ML capabilities. Our products use LLMs and ML models to detect, classify, and respond to cybersecurity threats in real time.
Founding Machine Learning Engineer
Manhattan, NY · On-site
$90.90K - $121.30K/yr
Role We are seeking a Founding ML Engineer to define and build Adaptive's ML capabilities. Our products use LLMs and ML models to detect, classify, and respond to cybersecurity threats in real time.
Responsibilities : • Define Adaptive's ML strategy: where ML should be applied across our products, what infrastructure we need, and how we should approach build vs. buy decisions. • Design and ...
Responsibilities : • Define Adaptive's ML strategy: where ML should be applied across our products, what infrastructure we need, and how we should approach build vs. buy decisions. • Design and ...
Executive Assistant Adaptive ML is a frontier AI startup building a Reinforcement Learning Operations (RLOps) platform that enables enterprises to specialize and deploy LLMs into production with ...
Executive Assistant Adaptive ML is a frontier AI startup building a Reinforcement Learning Operations (RLOps) platform that enables enterprises to specialize and deploy LLMs into production with ...
Adaptive Ml information
See salary details
$42K - $51.8K
1% of jobs
$51.8K - $61.6K
2% of jobs
$61.6K - $71.5K
4% of jobs
$71.5K - $81.3K
13% of jobs
$83.7K is the 25th percentile. Wages below this are outliers.
$81.3K - $91.1K
18% of jobs
The median wage is $98.5K / yr.
$91.1K - $100.9K
15% of jobs
$100.9K - $110.7K
15% of jobs
$115.4K is the 75th percentile. Wages above this are outliers.
$110.7K - $120.5K
13% of jobs
$120.5K - $130.4K
9% of jobs
$130.4K - $140.2K
5% of jobs
$140.2K - $150K
4% of jobs
$42K
$102.4K
$150K
How much do adaptive ml jobs pay per year?
As of Jun 1, 2026, the average yearly pay for adaptive ml in the United States is $102,439.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,500.00 and $119,000.00 per year, depending on experience, location, and employer.
What are the key skills and qualifications needed to thrive as an Adaptive Machine Learning Engineer, and why are they important?
To thrive as an Adaptive Machine Learning Engineer, you need strong foundations in machine learning algorithms, data analysis, and programming (often with a degree in computer science or a related field). Familiarity with ML frameworks (such as TensorFlow or PyTorch), version control systems, and cloud platforms is typically required, along with knowledge of adaptive and online learning techniques. Strong problem-solving abilities, creativity, and effective communication skills help you design, iterate, and implement adaptive models that respond to evolving data. These skills ensure that ML solutions can dynamically adjust to new information, maximizing their long-term effectiveness and impact.
What are common challenges faced by professionals working in Adaptive Machine Learning roles, and how can they overcome them?
Professionals in Adaptive Machine Learning often encounter challenges such as handling non-stationary data streams, ensuring model stability during continuous updates, and addressing concept drift where data patterns change over time. To overcome these, it's important to implement rigorous monitoring systems, use robust validation techniques, and collaborate closely with data engineering teams to ensure data quality. Staying up to date with the latest research and leveraging online learning frameworks can also help adapt models efficiently and maintain high performance.
What is an Adaptive ML Engineer?
An Adaptive ML Engineer is a professional who designs, develops, and maintains machine learning systems that can adjust and improve their performance dynamically in response to new data or changing environments. These engineers focus on creating algorithms and models that evolve over time, often using techniques like online learning, reinforcement learning, or continual learning. Their work is crucial in applications where static models are insufficient, such as real-time recommendations, autonomous vehicles, and personalized user experiences. Adaptive ML Engineers also ensure that their systems remain robust, accurate, and relevant as data patterns shift.
What is the difference between Adaptive Ml vs Data Scientist?
| Aspect | Adaptive Ml | Data Scientist |
|---|---|---|
| Required Credentials | Typically a degree in Computer Science, Data Science, or related fields; knowledge of machine learning frameworks | Usually a degree in Data Science, Statistics, Computer Science, or related fields; strong programming and statistical skills |
| Work Environment | Tech companies, AI startups, research labs focusing on machine learning applications | Varied environments including tech firms, finance, healthcare, and consulting firms analyzing data for insights |
| Employer & Industry Usage | Used in industries developing adaptive machine learning models and AI solutions | Used across industries for data analysis, predictive modeling, and decision support |
Adaptive ML specialists focus on developing and implementing machine learning models that adapt over time, often working on AI systems. Data Scientists analyze data, build models, and generate insights. While both roles require strong technical skills, Adaptive ML roles are more specialized in creating adaptive algorithms, whereas Data Scientists focus on broader data analysis and modeling tasks.
More about Adaptive Ml jobs
What cities are hiring for Adaptive Ml jobs? Cities with the most Adaptive Ml job openings:
What states have the most Adaptive Ml jobs? States with the most job openings for Adaptive Ml jobs include:
What job categories do people searching Adaptive Ml jobs look for? The top searched job categories for Adaptive Ml jobs are:
Full-time
Medical, Dental, Vision, Retirement, PTO
Posted 9 days ago
Job description
About the team
Adaptive ML is a frontier AI startup building a Reinforcement Learning Operations (RLOps) platform that enables enterprises to specialize large language models and deploy them reliably into production workflows with measurable impact.
At Adaptive ML, our Success team is part of our Technical Staff. Our Technical Staff develops the foundational technology that powers Adaptive ML, while the Success Team ensures our enterprise customers effectively leverage these technologies-particularly through our Adaptive Engine product-to unlock maximum value.
Adaptive Engine enables companies to build, evaluate, and deploy the best models for their specific business needs. The founding team previously worked together to develop state-of-the-art open LLMs. We raised a $20M seed round led by Index Ventures and ICONIQ in early 2024 and are live with our first enterprise customers, including Manulife, AT&T, Deloitte and more to be announced.
About the role
As an AI Engineer (Pre-Sales) at Adaptive ML, you will be the technical counterpart to our sales team, helping prospective customers understand how Adaptive Engine can solve their hardest problems. You will design and deliver high-impact demos, guide customers through proof of concepts, and develop technical proposals that highlight the differentiated value of our platform and reinforcement learning.
Unlike many sales engineering roles, this position is deeply technical. You'll have the opportunity to use Adaptive Engine hands-on-building demos, fine-tuning LLMs, and standing up pilots that bridge the gap from prospect to customer. You will also help shape the product roadmap by surfacing customer needs and insights.
This is an in-person role based in our Toronto or New York offices.
Your responsibilities
The background below is only suggestive of a few pointers we believe could be relevant. We welcome applications from candidates with diverse backgrounds; do not hesitate to get in touch if you think you could be a great fit, even if the below doesn't fully describe you.
Adaptive ML is a frontier AI startup building a Reinforcement Learning Operations (RLOps) platform that enables enterprises to specialize large language models and deploy them reliably into production workflows with measurable impact.
At Adaptive ML, our Success team is part of our Technical Staff. Our Technical Staff develops the foundational technology that powers Adaptive ML, while the Success Team ensures our enterprise customers effectively leverage these technologies-particularly through our Adaptive Engine product-to unlock maximum value.
Adaptive Engine enables companies to build, evaluate, and deploy the best models for their specific business needs. The founding team previously worked together to develop state-of-the-art open LLMs. We raised a $20M seed round led by Index Ventures and ICONIQ in early 2024 and are live with our first enterprise customers, including Manulife, AT&T, Deloitte and more to be announced.
About the role
As an AI Engineer (Pre-Sales) at Adaptive ML, you will be the technical counterpart to our sales team, helping prospective customers understand how Adaptive Engine can solve their hardest problems. You will design and deliver high-impact demos, guide customers through proof of concepts, and develop technical proposals that highlight the differentiated value of our platform and reinforcement learning.
Unlike many sales engineering roles, this position is deeply technical. You'll have the opportunity to use Adaptive Engine hands-on-building demos, fine-tuning LLMs, and standing up pilots that bridge the gap from prospect to customer. You will also help shape the product roadmap by surfacing customer needs and insights.
This is an in-person role based in our Toronto or New York offices.
Your responsibilities
- Partner with sales to engage with prospects, uncovering business challenges and mapping them to Adaptive ML solutions;
- Design and deliver compelling technical demos, tailored to specific customer use cases;
- Lead and manage proof-of-concepts (POCs) and pilots, ensuring technical success and clear business outcomes;
- Build prototype pipelines and fine-tuned LLMs using Adaptive Engine to showcase production-ready solutions;
- Translate technical requirements into custom proposals, suggested architectures, and recommendations for customer deployments;
- Collaborate with our research and product teams to influence roadmap priorities based on customer feedback;
- Represent Adaptive ML at conferences, webinars, and industry events with technical authority.
The background below is only suggestive of a few pointers we believe could be relevant. We welcome applications from candidates with diverse backgrounds; do not hesitate to get in touch if you think you could be a great fit, even if the below doesn't fully describe you.
- A degree in computer science, or demonstrated experience in software engineering / machine learning;
- 4-8+ years in a pre-sales, solutions engineering, or technical consulting role, ideally in AI/ML or enterprise software;
- Hands-on experience with data science, machine learning, or NLP; ability to fine-tune or adapt models is a plus;
- Strong programming skills, with Python required from quick prototyping to proof-of-concept deployments;
- Exceptional communication skills-able to clearly explain technical concepts to both technical and non-technical audiences;
- Curiosity and enthusiasm for generative AI, with a passion for building demos and real-world applications;
- Empathy, humility, and a collaborative spirit when working with both customers and teammates.
- Comprehensive medical (health, dental, and vision) insurance;
- 401(k) plan with 4% matching (or equivalent);
- Unlimited PTO - we strongly encourage at least 5 weeks each year;
- Mental health, wellness, and personal development stipends;
- Visa sponsorship if you wish to relocate to New York or Paris.