AI Summary / Key Details
- Role: Remote Job for Global Talent: Artificial Intelligence Engineer – Build Tomorrow’s Intelligence, Today
- Compensation: $25 - $45 / hr
- Location: Remote
- How to apply: Click the Apply Now button on this page to submit your resume.
Recent Activity
We are NexusAI, a pioneering force in scalable machine learning solutions, and we’re seeking a visionary Artificial Intelligence Engineer to join our fully distributed team. In this role, you will architect and deploy cutting-edge AI systems that solve real-world problems, from advanced NLP to computer vision, with the freedom and flexibility of 100% remote work. If you’re passionate about pushing the boundaries of what’s possible with AI and thrive in a collaborative, impact-driven environment, this is your opportunity to define the future.
About the Role
As a core member of our AI R&D division, you will move beyond theoretical models to build robust, production-grade intelligent systems. You’ll own the full lifecycle of AI projects—from data pipeline design and model experimentation to scalable deployment and performance monitoring. Working alongside product managers and domain experts, your work will directly influence our flagship platforms, serving millions of users. This is not a maintenance role; it’s a creation role for engineers who want to see their algorithms make a tangible difference.
Your Daily Impact Will Include:
- Designing, training, and optimizing deep learning models for diverse applications (e.g., predictive analytics, recommendation engines, autonomous systems).
- Developing and maintaining scalable data pipelines and MLOps infrastructure using cloud platforms (AWS/GCP/Azure).
- Conducting rigorous A/B testing and statistical analysis to validate model performance and business impact.
- Writing clean, efficient, and well-documented code in Python, adhering to best practices for reproducibility and collaboration.
- Mentoring junior engineers and contributing to our internal knowledge-sharing culture.
Requirements
We are looking for a blend of proven expertise and a growth mindset. The ideal candidate is a pragmatic problem-solver who can balance innovation with engineering rigor.
Must-Have Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Machine Learning, Statistics, or a related quantitative field, or equivalent professional experience.
- 5+ years of professional software engineering experience, with at least 3+ years focused on machine learning/AI model development and deployment.
- Expert proficiency in Python and core ML libraries (TensorFlow, PyTorch, Scikit-learn, Keras).
- Strong foundation in statistics, probability, and core machine learning algorithms.
- Hands-on experience with cloud services (AWS SageMaker, GCP AI Platform, Azure ML) and containerization (Docker, Kubernetes).
- Demonstrated ability to take complex projects from conception to production in a remote, collaborative setting.
Nice-to-Have Skills:
- PhD in a relevant AI/ML field.
- Experience with large language models (LLMs), reinforcement learning, or graph neural networks.
- Familiarity with big data tools (Spark, Hadoop, Kafka) and data warehousing solutions.
- Contributions to open-source ML projects or publications at top-tier conferences (NeurIPS, ICML, CVPR).
- Knowledge of CI/CD pipelines specifically for ML (MLflow, Kubeflow, TFX).
Compensation & Benefits
We believe in fair and competitive compensation that reflects your impact. For this role, the estimated total annual compensation range is $140,000 – $210,000 USD, commensurate with experience, expertise, and location-based adjustments. This includes a competitive base salary and an annual performance-based bonus.
Our commitment to your success extends beyond salary. As a fully remote company, we offer a suite of benefits designed for autonomy and well-being:
- True Remote Flexibility: Work from anywhere. We provide a generous home office stipend to optimize your workspace.
- Unlimited PTO: Take the time you need to recharge, with a company culture that genuinely encourages it.
- Learning & Growth Budget: $3,000 annually for courses, conferences, books, and certifications of your choice.
- Comprehensive Health Coverage: Premium medical, dental, and vision plans for you and your dependents (US-based employees).
- Equity Participation: Meaningful stock options, making you a true owner in our mission.
- Annual Team Retreats: Fully-funded in-person gatherings to connect, strategize, and build camaraderie.
- Latest Tech: You choose your laptop and tools. We invest in the best to help you do your best work.
About NexusAI
NexusAI is on a mission to democratize intelligent systems. We build enterprise-grade AI infrastructure that is accessible, ethical, and transformative. Founded by veterans from leading tech labs, we are a funded, fast-growing company with a flat structure and a focus on outcomes over hours. We value intellectual curiosity, transparent communication, and a bias for action. Our global team spans 15+ countries, united by a passion for building technology that matters.
How to Apply
If you’re ready to tackle the world’s most interesting AI challenges with unparalleled freedom, we want to hear from you. Please submit your application to careers@nexusai.tech with the subject line: “AI Engineer Application – [Your Full Name]”.
Your application should include:
- A resume or CV highlighting your relevant experience and projects.
- A brief cover letter or summary explaining why this role excites you and what unique perspective you’d bring to our remote team.
- Links to your GitHub profile, portfolio, or published work (if available).
We review every application carefully and will contact shortlisted candidates for a multi-stage interview process that includes technical assessments and team fit conversations. No recruiters, please.