Spektrum Recruiting
Overview
We’re partnering with a well-funded, seed-stage startup to help build their early engineering team. They’re hiring two more
AI/ML Engineers
and are open to candidates at the
Senior, Staff, or Principal
level. If you're excited about building a product from the ground up, we’d love to hear from you. Check out the job description below to learn more. Responsibilities
Design, build, and deploy scalable ML systems that power our core product. Own end-to-end development: problem formulation, data pipelines, model training, evaluation, and production deployment. Collaborate with product and engineering to translate business goals into ML solutions. Evaluate and apply state-of-the-art techniques in LLMs, deep learning, classical ML, and generative AI. Establish best practices for model reproducibility, monitoring, and performance tracking. Build and scale our MLOps infrastructure (training pipelines, experiment tracking, deployment tooling). Recruit and mentor future ML/AI hires and help grow the team and culture. Qualifications
8+ years of experience in artificial intelligence, machine learning, and software engineering. Strong foundation in ML/DL algorithms, statistical modeling, and data processing. Deep experience with modern ML/DL frameworks (e.g., PyTorch, TensorFlow, JAX). Hands-on experience with LLMs, transformers, or other foundation models. Proven experience building and deploying production-grade ML systems. Strong software engineering skills (Python, APIs, cloud infra, containerization). Familiarity with ML pipelines and platforms (e.g., Airflow, MLflow, SageMaker, Vertex AI). Startup mindset: ownership, bias for action, comfort with ambiguity, and a builder mentality. Degree in Computer Science, Machine Learning, Mathematics, or related field. (PhD or MS preferred but not required with equivalent experience.) Seniority level
Mid-Senior level Employment type
Full-time Job function
Project Management, Supply Chain, and Product Management Industries Software Development
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We’re partnering with a well-funded, seed-stage startup to help build their early engineering team. They’re hiring two more
AI/ML Engineers
and are open to candidates at the
Senior, Staff, or Principal
level. If you're excited about building a product from the ground up, we’d love to hear from you. Check out the job description below to learn more. Responsibilities
Design, build, and deploy scalable ML systems that power our core product. Own end-to-end development: problem formulation, data pipelines, model training, evaluation, and production deployment. Collaborate with product and engineering to translate business goals into ML solutions. Evaluate and apply state-of-the-art techniques in LLMs, deep learning, classical ML, and generative AI. Establish best practices for model reproducibility, monitoring, and performance tracking. Build and scale our MLOps infrastructure (training pipelines, experiment tracking, deployment tooling). Recruit and mentor future ML/AI hires and help grow the team and culture. Qualifications
8+ years of experience in artificial intelligence, machine learning, and software engineering. Strong foundation in ML/DL algorithms, statistical modeling, and data processing. Deep experience with modern ML/DL frameworks (e.g., PyTorch, TensorFlow, JAX). Hands-on experience with LLMs, transformers, or other foundation models. Proven experience building and deploying production-grade ML systems. Strong software engineering skills (Python, APIs, cloud infra, containerization). Familiarity with ML pipelines and platforms (e.g., Airflow, MLflow, SageMaker, Vertex AI). Startup mindset: ownership, bias for action, comfort with ambiguity, and a builder mentality. Degree in Computer Science, Machine Learning, Mathematics, or related field. (PhD or MS preferred but not required with equivalent experience.) Seniority level
Mid-Senior level Employment type
Full-time Job function
Project Management, Supply Chain, and Product Management Industries Software Development
#J-18808-Ljbffr