Software Engineer

Antimetal is a company specializing in the recycling and processing of scrap metals, providing sustainable solutions for metal waste management. Founded in 1990, the company focuses on environmentally responsible practices to recover valuable metals and reduce landfill waste. Antimetal serves a diverse range of industries including manufacturing and construction, offering services such as metal collection, sorting, and processing. Their mission is to promote circular economy principles by turning scrap metal into reusable resources, contributing to environmental conservation and resource efficiency.

We Start Where Others Stop
For 50 years, abstractions around compute have followed an irreversible law: systems must handle complexity so humans don’t have to. We stopped writing assembly code. We abandoned physical servers. And yet, engineers still waste 30% of their time managing infrastructure—debugging YAML files, tweaking scaling policies, patching Kubernetes clusters.Infrastructure remains stubbornly complex. The systems we rely on to keep software running are still deeply manual, brittle, and expensive to maintain. But a paradigm shift is now possible.
When maintenance disappears, builders can finally build.
Role
We’re looking for a Senior Applied Machine Learning Engineer to design and deploy intelligent systems to automate infrastructure workflows. You’ll work hands-on with cutting-edge technologies—LLMs, knowledge graphs, and advanced retrieval systems—to build scalable, agentic systems.
You’ll rapidly prototype, experiment, and take projects from concept to production. If you thrive in fast-paced environments and are passionate about applied AI, this is the role for you.
You
As our next Senior Applied ML Engineer, you should have at least 5 years of experience in applied machine learning or a related role, preferably at a high-growth company, plus:
Essentials
Demonstrated ability to design and deploy large-scale information retrieval systems and/or search backends.
Experience constructing and running evaluation pipelines.
Proven experience pre-training language models and language modeling.
Proficient in Python and Typescript, with experience using common ML libraries and data engineering tools.
Strong problem-solving skills, with a focus on creating highly maintainable, scalable code.
Excellent communication and collaboration skills.
Comfortable with iterative development, prototyping, and adapting quickly to feedback.
Standouts
Hands-on experience with vector search.
A passion for staying ahead of applied AI trends and prototyping emerging technologies.
Contributions to open-source ML tools or libraries.

Compensation
Estimated Base Salary $220-260K — Offers Equity

Design and deploy intelligent systems to automate infrastructure workflows using cutting-edge AI technologies.

Senior Applied Machine Learning Engineer

United States

We Start Where Others Stop
For 50 years, abstractions around compute have followed an irreversible law: systems must handle complexity so humans don’t have to. We stopped writing assembly code. We abandoned physical servers. And yet, engineers still waste 30% of their time managing infrastructure—debugging YAML files, tweaking scaling policies, patching Kubernetes clusters.Infrastructure remains stubbornly complex. The systems we rely on to keep software running are still deeply manual, brittle, and expensive to maintain. But a paradigm shift is now possible.
When maintenance disappears, builders can finally build.
Role
We’re looking for a Senior Applied Machine Learning Engineer to design and deploy intelligent systems to automate infrastructure workflows. You’ll work hands-on with cutting-edge technologies—LLMs, knowledge graphs, and advanced retrieval systems—to build scalable, agentic systems.
You’ll rapidly prototype, experiment, and take projects from concept to production. If you thrive in fast-paced environments and are passionate about applied AI, this is the role for you.
You
As our next Senior Applied ML Engineer, you should have at least 5 years of experience in applied machine learning or a related role, preferably at a high-growth company, plus:
Essentials
Demonstrated ability to design and deploy large-scale information retrieval systems and/or search backends.
Experience constructing and running evaluation pipelines.
Proven experience pre-training language models and language modeling.
Proficient in Python and Typescript, with experience using common ML libraries and data engineering tools.
Strong problem-solving skills, with a focus on creating highly maintainable, scalable code.
Excellent communication and collaboration skills.
Comfortable with iterative development, prototyping, and adapting quickly to feedback.
Standouts
Hands-on experience with vector search.
A passion for staying ahead of applied AI trends and prototyping emerging technologies.
Contributions to open-source ML tools or libraries.

Compensation
Estimated Base Salary $220-260K — Offers EquityRequirements:<ul><li> At least 5 years of experience in applied machine learning or a related role</li><li> Ability to design and deploy large-scale information retrieval systems and/or search backends</li><li> Experience constructing and running evaluation pipelines</li><li> Proven experience pre-training language models and language modeling</li><li> Proficient in Python and Typescript</li><li> Experience using common ML libraries and data engineering tools</li><li> Strong problem-solving skills</li><li> Excellent communication and collaboration skills</li><li> Comfortable with iterative development, prototyping, and feedback</li></ul>Benefits:<ul><li> Competitive salary in the range of $220,000 to $260,000</li><li> Offers equity</li></ul>

Antimetal

Senior Applied Machine Learning Engineer Design and deploy intelligent systems to automate infrastructure workflows using cutting-edge AI technologies. We Start Where Others Stop
For 50 years, abstractions around compute have followed an irreversible law: systems must handle complexity so humans don’t have to. We stopped writing assembly code. We abandoned physical servers. And yet, engineers still waste 30% of their time managing infrastructure—debugging YAML files, tweaking scaling policies, patching Kubernetes clusters.Infrastructure remains stubbornly complex. The systems we rely on to keep software running are still deeply manual, brittle, and expensive to maintain. But a paradigm shift is now possible.
When maintenance disappears, builders can finally build.
Role
We’re looking for a Senior Applied Machine Learning Engineer to design and deploy intelligent systems to automate infrastructure workflows. You’ll work hands-on with cutting-edge technologies—LLMs, knowledge graphs, and advanced retrieval systems—to build scalable, agentic systems.
You’ll rapidly prototype, experiment, and take projects from concept to production. If you thrive in fast-paced environments and are passionate about applied AI, this is the role for you.
You
As our next Senior Applied ML Engineer, you should have at least 5 years of experience in applied machine learning or a related role, preferably at a high-growth company, plus:
Essentials
Demonstrated ability to design and deploy large-scale information retrieval systems and/or search backends.
Experience constructing and running evaluation pipelines.
Proven experience pre-training language models and language modeling.
Proficient in Python and Typescript, with experience using common ML libraries and data engineering tools.
Strong problem-solving skills, with a focus on creating highly maintainable, scalable code.
Excellent communication and collaboration skills.
Comfortable with iterative development, prototyping, and adapting quickly to feedback.
Standouts
Hands-on experience with vector search.
A passion for staying ahead of applied AI trends and prototyping emerging technologies.
Contributions to open-source ML tools or libraries.

Compensation
Estimated Base Salary $220-260K — Offers Equity Software Engineer Engineer Antimetal Manufacturing Metal Recycling Environmental Services New York City

Seeking a Senior Applied Machine Learning Engineer to develop scalable AI-driven infrastructure automation systems. The role involves prototyping, experimentation, and deployment of advanced retrieval systems and language models.

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