Machine Learning Engineer
RemoteHunter · United States
- Hybrid
- Full-time
- $200,000 / year
- United States
Tailored resume — keyword-matched to this role.
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Job highlights
- Design and deploy advanced ML systems for AI safety.
- Work with multimodal data including text and image.
- Develop classification systems for security and intelligence.
- Utilize PyTorch, TensorFlow, and MLOps tools.
- Full remote role for US-based employees.
About the role
About 10a Labs
10a Labs operates in the AI safety and threat-intelligence sector, providing services to frontier AI labs, AI unicorns, Fortune 10 companies, and leading global technology platforms. The organization addresses challenges in AI safety and security by delivering adversarial red teaming, model evaluations, and intelligence collection, helping engineering, safety, and security teams anticipate and mitigate evolving threats to enable safe AI system deployment.About the Opportunity
The Machine Learning Engineer role involves designing, building, evaluating, and deploying advanced machine learning systems focused on safety, security, and intelligence applications. This position covers the full machine learning lifecycle and requires collaboration across interdisciplinary teams to develop production-ready systems that support leading AI organizations. The role contributes directly to advancing AI safety and security through research-driven engineering.Responsibilities
- Design, train, evaluate, and deploy machine learning models for text, image, audio, and multimodal data.
- Develop classification systems targeting safety, security, abuse detection, and intelligence.
- Conduct benchmarking and evaluation experiments on AI models, including large language and multimodal models.
- Contribute to model distillation, optimization, and fine-tuning to enhance performance and deployability.
- Design evaluation pipelines, metrics, and testing frameworks to assess model capabilities and safety.
- Build agentic systems and automated workflows for evaluation, red teaming, research, and experimentation.
- Manage ML projects from research and prototyping to production deployment and monitoring.
- Collaborate with software engineers to productionize ML systems and support ongoing improvements.
- Provide technical expertise across client projects and internal research initiatives.
Requirements
- 3 to 5+ years of professional experience building and deploying machine learning systems.
- Proficiency in Python and machine learning frameworks such as PyTorch and/or TensorFlow.
- Experience with multiple modalities, with expertise in computer vision or natural language processing.
- Experience training, fine-tuning, evaluating, and deploying ML models in production.
- Ability to design evaluation methodologies, benchmarking systems, and performance metrics.
- Familiarity with MLOps tools and practices including Docker, Kubernetes, CI/CD, MLflow.
- Experience with cloud platforms such as Google Cloud Platform (preferred), AWS, or Azure.
- Preferred experience with model distillation, synthetic data generation, reinforcement learning, or AI evaluation research.
- Additional preferred experience includes work with frontier language models, cybersecurity, trust and safety, or retrieval-augmented generation frameworks.
Pay Range and Compensation Package
- Salary Range: $130,000 to $200,000, depending on experience and location.
- Performance-based annual bonus.
- Support for professional development including conferences, continuing education, and leadership training.
- Fully remote work environment for U.S.-based employees.
- Comprehensive health, dental, and vision coverage.
- Generous paid time off and paid holiday schedule.
Benefits & Perks
- Comprehensive health insurance.
- Dental insurance.
- Vision insurance.
Equal Opportunity Statement
Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.Note
RemoteHunter is not the Employer of Record (EOR) for this role. Our purpose in this opportunity is to connect exceptional candidates with leading employers. We help job seekers worldwide discover roles that match their goals and guide them to complete their full application directly through the hiring company’s career page or ATS.Key skills/competency
- Machine Learning Engineering
- AI Safety
- Threat Intelligence
- Model Deployment
- Python
- PyTorch
- TensorFlow
- Computer Vision
- Natural Language Processing
- MLOps
Skills & topics
- Machine Learning Engineer
- AI Safety
- Threat Intelligence
- MLOps
- Python
- PyTorch
- TensorFlow
- Computer Vision
- Natural Language Processing
- Model Deployment
- Remote
- US Jobs
How to get hired
- Tailor your resume: Highlight experience in ML model deployment, Python, PyTorch/TensorFlow, and MLOps. Quantify achievements in AI safety or threat intelligence.
- Craft a compelling cover letter: Express your passion for AI safety and how your skills align with 10a Labs' mission.
- Prepare for technical interviews: Brush up on ML concepts, model evaluation techniques, and coding in Python. Be ready to discuss your project experience.
- Research 10a Labs: Understand their work in AI safety and threat intelligence to demonstrate genuine interest and alignment with their goals.
Technical preparation
Master Python and ML frameworks like PyTorch.,Practice with multimodal data and model evaluation.,Familiarize with MLOps tools: Docker, Kubernetes.,Review cloud platforms: GCP, AWS, Azure.
Behavioral questions
Describe a challenging ML deployment experience.,How do you handle project ambiguity?,How do you collaborate with software engineers?,Share your approach to AI safety concerns.
Frequently asked questions
- What is the salary range for the Machine Learning Engineer role at 10a Labs?
- The Machine Learning Engineer role at 10a Labs offers a salary range of $130,000 to $200,000 annually, depending on experience and location. This is complemented by a performance-based annual bonus.
- Is the Machine Learning Engineer position at 10a Labs remote?
- Yes, this is a fully remote position for U.S.-based employees. 10a Labs provides a comprehensive benefits package, including health, dental, and vision coverage, along with generous paid time off.
- What are the primary responsibilities of a Machine Learning Engineer at 10a Labs?
- As a Machine Learning Engineer at 10a Labs, you will design, train, evaluate, and deploy ML models for text, image, audio, and multimodal data. This includes developing classification systems for safety and intelligence, conducting model evaluations, and building agentic systems.
- What technical skills are required for the Machine Learning Engineer position?
- The role requires 3-5+ years of experience in building and deploying ML systems, proficiency in Python and frameworks like PyTorch or TensorFlow, and experience with multiple data modalities (e.g., NLP, computer vision). Familiarity with MLOps tools and cloud platforms is also essential.
- What kind of projects can I expect to work on as a Machine Learning Engineer at 10a Labs?
- You can expect to work on cutting-edge projects in AI safety and threat intelligence, including adversarial red teaming, model evaluations, and intelligence collection. This involves developing production-ready systems for leading AI organizations and contributing to safe AI system deployment.
- Does 10a Labs offer opportunities for professional development for Machine Learning Engineers?
- Yes, 10a Labs supports professional development through funding for conferences, continuing education, and leadership training, enabling Machine Learning Engineers to stay at the forefront of the field.