Design and develop machine learning models, automate workflows, and collaborate with cross-functional teams to translate requirements into technical solutions. Key requirements include a strong foundation in Computer Science, algorithms, and experience with neural networks and pattern recognition techniques. The ideal candidate will have excellent communication skills to articulate complex technical ideas to non-technical stakeholders.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
About The Company
Laser Labs is an AI and software venture studio that partners with small and medium-sized enterprises to integrate workflow automation into everyday operations. The company focuses on reducing manual, repetitive work so business owners can concentrate on strategic decisions and growth. By building tailored AI solutions, Laser Labs quietly powers back-office efficiency while clients stay in the spotlight with their customers. Team members work closely with real-world businesses, seeing direct impact from the tools and systems they create. This environment offers opportunities to experiment with cutting-edge AI while solving practical, high-value problems.
About The Role
As an AI/ML Engineer at Laser Labs, you will be instrumental in designing, developing, and deploying machine learning models that automate and optimize our clients’ workflows. Your role involves working with data pipelines, performing feature engineering, and training models using real-world business datasets. You will be responsible for implementing and refining algorithms, developing neural network architectures, and testing these models to ensure they meet client needs. Additionally, you will utilize tools such as n8n to build customized workflow automations, ensuring seamless integration of AI solutions into existing business processes. This is a contract-based, fully remote position that offers the flexibility to work from anywhere while contributing to innovative projects that have tangible business impacts.
Qualifications
- A strong foundation in Computer Science and algorithms, with the ability to design efficient and scalable solutions.
- An entrepreneurial spirit is essential, with previous start-up experience highly preferred.
- Proficiency in using n8n or the ability to quickly learn the platform to develop automation workflows.
- Hands-on experience with neural networks and pattern recognition techniques applied to real-world problems.
- Ability to utilize various large language models (LLMs) effectively to accomplish project goals.
- Proficiency in at least one modern programming language commonly used in ML, such as Python, along with familiarity with ML frameworks like PyTorch, TensorFlow, or Jupyter.
- Experience building end-to-end machine learning pipelines, including data preprocessing, feature engineering, model training, validation, and deployment.
- Comfort working with both structured and unstructured data, with familiarity in SQL and version control tools such as Git.
- A bachelor’s degree or higher in Computer Science, Engineering, Mathematics, or a related quantitative field, or equivalent practical experience.
- Excellent communication skills to clearly articulate complex technical ideas to non-technical stakeholders.
- Compensation is negotiable and based on experience.
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- Design and develop machine learning models tailored to client needs, ensuring accuracy and efficiency.
- Build and maintain scalable data pipelines for processing large volumes of structured and unstructured data.
- Perform feature engineering to enhance model performance and robustness.
- Train, evaluate, and iterate on neural network architectures, optimizing for deployment in real-world settings.
- Implement automation workflows using n8n, integrating ML models into client operations seamlessly.
- Collaborate with cross-functional teams, including product managers and business stakeholders, to translate requirements into technical solutions.
- Monitor and troubleshoot deployed models, ensuring ongoing performance and making necessary improvements.
- Stay updated with the latest advancements in AI and machine learning, applying innovative techniques to solve complex problems.
- Document development processes, model architectures, and workflows for knowledge sharing and future reference.
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Laser Labs offers a flexible work environment with the ability to work remotely from anywhere. As part of our team, you will have the opportunity to work on cutting-edge AI projects that have a direct impact on small and medium-sized enterprises. We provide a collaborative environment that encourages innovation, experimentation, and continuous learning. Compensation is competitive and negotiable based on experience and expertise. Additionally, team members gain exposure to a wide range of AI technologies and real-world applications, fostering professional growth and development. We also support a healthy work-life balance, recognizing the importance of personal well-being and professional fulfillment.
Equal Opportunity
Laser Labs is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, ethnicity, gender, age, sexual orientation, disability, or any other protected characteristic. Our hiring decisions are based solely on qualifications, skills, and experience. We believe that diverse teams drive innovation and are essential to our success, and we welcome applicants from all backgrounds to join our mission of transforming workflows through AI.
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