Applied ML Engineer
Mountain View, CA · On-site
Collaborate with cross-functional teams, including product, engineering, and business stakeholders, to deliver impactful solutions. * Stay at the cutting edge of AI research, incorporating new ...
Mountain View, CA · On-site
Collaborate with cross-functional teams, including product, engineering, and business stakeholders, to deliver impactful solutions. * Stay at the cutting edge of AI research, incorporating new ...
Mountain View, CA · On-site
Collaborate with cross-functional teams, including product, engineering, and business stakeholders, to deliver impactful solutions. * Stay at the cutting edge of AI research, incorporating new ...
San Francisco, CA · On-site
$123K - $169K/yr
Mentor other engineers on ML best practices and code quality What we are looking for * 4+ years of applied ML engineering in production environments * Hands‑on experience with LLMs, fine‑tuning ...
San Francisco, CA · On-site
$123K - $169K/yr
Mentor other engineers on ML best practices and code quality What we are looking for * 4+ years of applied ML engineering in production environments * Hands‑on experience with LLMs, fine‑tuning ...
San Francisco, CA · On-site
$123K - $169K/yr
Mentor other engineers on ML best practices and code quality What we are looking for * 4+ years of applied ML engineering in production environments * Hands-on experience with LLMs, fine-tuning, RAG ...
Quick apply
San Francisco, CA · On-site
$123K - $169K/yr
Mentor other engineers on ML best practices and code quality What we are looking for * 4+ years of applied ML engineering in production environments * Hands-on experience with LLMs, fine-tuning, RAG ...
San Francisco, CA · On-site
$123K - $169K/yr
Mentor other engineers on ML best practices and code quality What we are looking for * 4+ years of applied ML engineering in production environments * Hands-on experience with LLMs, fine-tuning, RAG ...
San Francisco, CA · On-site
$123K - $169K/yr
Mentor other engineers on ML best practices and code quality What we are looking for * 4+ years of applied ML engineering in production environments * Hands-on experience with LLMs, fine-tuning, RAG ...
Develop evaluation frameworks that measure clinical appropriateness alongside standard ML metrics.### What we're looking for* 3+ years of applied ML engineering experience, including at least one ...
Develop evaluation frameworks that measure clinical appropriateness alongside standard ML metrics.### What we're looking for* 3+ years of applied ML engineering experience, including at least one ...
San Francisco, CA · On-site
$122K - $151K/yr
As an Applied ML Engineer, you will build advanced speech and audio models, develop production inference systems, and collaborate with cross-functional teams to enhance model quality.
San Francisco, CA · On-site
$122K - $151K/yr
As an Applied ML Engineer, you will build advanced speech and audio models, develop production inference systems, and collaborate with cross-functional teams to enhance model quality.
MS or PhD in CS/EE/Statistics/Applied ML (or BS with strong equivalent experience). • Experience: 5+ years applied ML engineering experience; 2+ years specifically in audio/speech or time-series ML ...
MS or PhD in CS/EE/Statistics/Applied ML (or BS with strong equivalent experience). • Experience: 5+ years applied ML engineering experience; 2+ years specifically in audio/speech or time-series ML ...
Seattle, WA · On-site
$118K - $163K/yr
Strong programming skills in Python and hands on experience with modern ML frameworks such as PyTorch or JAX * Strong understanding of LLM post-training techniques, including supervised fine-tuning ...
Quick apply
Seattle, WA · On-site
$118K - $163K/yr
Strong programming skills in Python and hands on experience with modern ML frameworks such as PyTorch or JAX * Strong understanding of LLM post-training techniques, including supervised fine-tuning ...
Jersey City, NJ · On-site
$107K - $140K/yr
You will be responsible for leading a team of 4 to 5 ML engineers. You will work at the intersection of Risk modeling, and NLP architectures, inference systems, regulatory explainability and ...
Jersey City, NJ · On-site
$107K - $140K/yr
You will be responsible for leading a team of 4 to 5 ML engineers. You will work at the intersection of Risk modeling, and NLP architectures, inference systems, regulatory explainability and ...
$117K - $162K/yr
Strong programming skills in Python and hands on experience with modern ML frameworks such as PyTorch or JAX * Strong understanding of LLM post-training techniques, including supervised fine-tuning ...
Quick apply
$117K - $162K/yr
Strong programming skills in Python and hands on experience with modern ML frameworks such as PyTorch or JAX * Strong understanding of LLM post-training techniques, including supervised fine-tuning ...
Sunnyvale, CA · On-site
$145K - $192K/yr
Sr. Software Development Engineer (Applied ML) We're looking for a senior AI/ML engineer to do applied ML at the intersection of 3D geometry, manufacturing process, and the tacit expertise of the ...
Sunnyvale, CA · On-site
$145K - $192K/yr
Sr. Software Development Engineer (Applied ML) We're looking for a senior AI/ML engineer to do applied ML at the intersection of 3D geometry, manufacturing process, and the tacit expertise of the ...
Bellevue, WA · On-site
$117K - $162K/yr
Strong programming skills in Python and hands on experience with modern ML frameworks such as PyTorch or JAX * Strong understanding of LLM post-training techniques, including supervised fine-tuning ...
Bellevue, WA · On-site
$117K - $162K/yr
Strong programming skills in Python and hands on experience with modern ML frameworks such as PyTorch or JAX * Strong understanding of LLM post-training techniques, including supervised fine-tuning ...
Bellevue, WA · On-site
Engineers on our team touch everything from CUDA kernels to high-performance LLM tracing dashboards ... Required Qualifications * 8+ years of experience in machine learning or applied research, or a PhD ...
Bellevue, WA · On-site
Engineers on our team touch everything from CUDA kernels to high-performance LLM tracing dashboards ... Required Qualifications * 8+ years of experience in machine learning or applied research, or a PhD ...
Engineers on our team touch everything from CUDA kernels to high-performance LLM tracing dashboards ... Required Qualifications * 8+ years of experience in machine learning or applied research, or a PhD ...
Quick apply
Engineers on our team touch everything from CUDA kernels to high-performance LLM tracing dashboards ... Required Qualifications * 8+ years of experience in machine learning or applied research, or a PhD ...
$122K - $168K/yr
Strong programming skills in Python and hands on experience with modern ML frameworks such as PyTorch or JAX * Strong understanding of LLM post-training techniques, including supervised fine-tuning ...
Quick apply
$122K - $168K/yr
Strong programming skills in Python and hands on experience with modern ML frameworks such as PyTorch or JAX * Strong understanding of LLM post-training techniques, including supervised fine-tuning ...
Engineers on our team touch everything from CUDA kernels to high-performance LLM tracing dashboards ... Required Qualifications * 8+ years of experience in machine learning or applied research, or a PhD ...
Quick apply
Engineers on our team touch everything from CUDA kernels to high-performance LLM tracing dashboards ... Required Qualifications * 8+ years of experience in machine learning or applied research, or a PhD ...
Jersey City, NJ · On-site
$107K - $140K/yr
You will be responsible for leading a team of 4 to 5 ML engineers. You will work at the intersection of Risk modeling, and NLP architectures, inference systems, regulatory explainability and ...
Jersey City, NJ · On-site
$107K - $140K/yr
You will be responsible for leading a team of 4 to 5 ML engineers. You will work at the intersection of Risk modeling, and NLP architectures, inference systems, regulatory explainability and ...
Jersey City, NJ · On-site
$112K - $147K/yr
You will be responsible for leading a team of 4 to 5 ML engineers. You will work at the intersection of Risk modeling, and NLP architectures, inference systems, regulatory explainability and ...
Jersey City, NJ · On-site
$112K - $147K/yr
You will be responsible for leading a team of 4 to 5 ML engineers. You will work at the intersection of Risk modeling, and NLP architectures, inference systems, regulatory explainability and ...
Jersey City, NJ · On-site
$112K - $147K/yr
You will be responsible for leading a team of 4 to 5 ML engineers. You will work at the intersection of Risk modeling, and NLP architectures, inference systems, regulatory explainability and ...
Jersey City, NJ · On-site
$112K - $147K/yr
You will be responsible for leading a team of 4 to 5 ML engineers. You will work at the intersection of Risk modeling, and NLP architectures, inference systems, regulatory explainability and ...
Jersey City, NJ · On-site
$171K - $260K/yr
You will be responsible for leading a team of 4 to 5 ML engineers. You will work at the intersection of Risk modeling, and NLP architectures, inference systems, regulatory explainability and ...
Jersey City, NJ · On-site
$171K - $260K/yr
You will be responsible for leading a team of 4 to 5 ML engineers. You will work at the intersection of Risk modeling, and NLP architectures, inference systems, regulatory explainability and ...
Cities with the most Applied Ml Engineer job openings:
States with the most job openings for Applied Ml Engineer jobs include:
For Applied Ml Engineer jobs, the most frequently searched job titles are:

Mountain View, CA • On-site
Other
Posted 10 days ago
If you’re passionate about tackling some of the hardest problems in AI and contributing to transformational change in enterprise automation, join us at Kognitos to build the future of software.
What You’ll Work On:Efficient Fine-Tuning: Develop innovative methods to optimize resource usage for training and fine-tuning models, ensuring high performance while maintaining efficiency.
Agentic Workflows: Advance workflows that allow AI to reason, plan, and execute tasks with reliability and determinism, minimizing errors and runtime surprises.
Multimodal Language Models: Work on multimodal use cases, combining text, images, and other data formats, to build adaptive, enterprise-ready automation tools.
Scalable AI for Enterprises: Address the needs of enterprises by creating AI solutions that can remove 30% of operational expenses through large-scale adoption.
Design, implement, and deploy machine learning models focused on agentic workflows and deterministic task execution.
Optimize AI systems for multimodal applications, addressing real-world enterprise challenges.
Innovate on fine-tuning techniques to maximize resource efficiency and improve model performance.
Ensure AI systems are aligned to regulatory policies and deliver consistent business value.
Collaborate with cross-functional teams, including product, engineering, and business stakeholders, to deliver impactful solutions.
Stay at the cutting edge of AI research, incorporating new advancements into Kognitos’ platform.
Bachelor’s, Master’s, or Ph.D. in Computer Science, Machine Learning, or a related field.
Proven experience in developing and deploying machine learning models in production environments.
Expertise in fine-tuning techniques for large-scale models and optimizing resource usage.
Strong intuition working with LLMs
Familiarity with multimodal language models and their enterprise applications.
Proficiency in Python, TensorFlow, PyTorch, or similar frameworks.
Excellent problem-solving skills and the ability to work in a fast-paced, dynamic
Experience with agentic workflows and multi-agent systems.
Knowledge of enterprise automation challenges and opportunities.
Prior work in AI for non-consumer use cases, especially in large-scale enterprise environments.
Familiarity with cloud platforms and distributed computing frameworks.
Be part of a cutting-edge company solving some of AI’s hardest problems.
Work on impactful projects in a trillion-dollar hyper-automation market.
Collaborate with a world-class team of engineers and researchers.
Contribute to transformational changes in how enterprises operate.
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
Equal opportunities providerKognitos is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Sourced by ZipRecruiter
It services and recruiting and staffing services
51 - 200 Employees
San Francisco, CA, US