ML Engineer, AI Safety

About TaskUs:TaskUs is a provider of outsourced digital services and next-generation customer experience to fast-growing technology companies, helping its clients represent, protect and grow their brands. Leveraging a cloud-based infrastructure, TaskUs serves clients in the fastest-growing sectors, including social media, e-commerce, gaming, streaming media, food delivery, ride-sharing, HiTech, FinTech, and HealthTech.

The People First culture at TaskUs has enabled the company to expand its workforce to approximately 45,000 employees globally.Presently, we have a presence in twenty-three locations across twelve countries, which include the Philippines, India, and the United States.

It started with one ridiculously good idea to create a different breed of Business Processing Outsourcing (BPO)! We at TaskUs understand that achieving growth for our partners requires a culture of constant motion, exploring new technologies, being ready to handle any challenge at a moment's notice, and mastering consistency in an ever-changing world.

What We Offer:At TaskUs, we prioritize our employees well-being by offering competitive industry salaries and comprehensive benefits packages. Our commitment to a People First culture is reflected in the various departments we have established, including Total Rewards, Wellness, HR, and Diversity. We take pride in our inclusive environment and positive impact on the community. Moreover, we actively encourage internal mobility and professional growth at all stages of an employee's career within TaskUs. Join our team today and experience firsthand our dedication to supporting People First.

Software Engineer, AI Safety Services

The impact you'll make

• Enable rapid, responsible releases by coding evaluation pipelines that surface safety issues before models reach production.

• Drive operational excellence through reliable, secure, and observable systems that safety analysts and customers trust.

• Advance industry standards by contributing to bestpractice libraries, opensource projects, and internal frameworks for testing alignment, robustness, and interpretability.

What you'll do

• Design & implement safety tooling-from automated adversarial test harnesses to driftmonitoring dashboards-using Python, PyTorch/TensorFlow, and modern cloud services.

• Collaborate across disciplines with fellow engineers, data scientists, and product managers to translate customer requirements into clear, iterative technical solutions.

• Own quality endtoend: write unit/integration tests, automate CI/CD, and monitor production metrics to ensure reliability and performance.

• Containerize and deploy services using Docker and Kubernetes, following infrastructureascode principles (Terraform/CDK).

• Continuously learn new evaluation techniques, model architectures, and security practices share knowledge through code reviews and technical talks.

Experiences you'll bring

• 3+ years of professional software engineering experience, ideally with dataintensive or MLadjacent systems.

• Demonstrated success shipping production code that supports highavailability services or platforms.

• Experience working in an agile, collaborative environment, delivering incremental value in short cycles.

Technical skills you'll need

• Languages & ML frameworks: Strong Python plus handson experience with PyTorch or TensorFlow (bonus points for JAX and LLM finetuning).

• Cloud & DevOps: Comfortable deploying containerized services (Docker, Kubernetes) on AWS, GCP, Azure infrastructureascode with Terraform or CDK.

• MLOps & experimentation: Familiar with tools such as MLflow, Weights & Biases, or SageMaker Experiments for tracking runs and managing models.

• Data & APIs: Solid SQL, exposure to at least one NoSQL store, and experience designing or consuming RESTful APIs.

• Security mindset: Awareness of secure coding and compliance practices (e.g., SOC 2, ISO 27001).

LangChain/LangGraph, distributed processing (Spark/Flink), or prior contributions to opensource ML safety projects.

Why you'll love this role

• Enjoy the freedom to work from anywhere - your productivity, your environment

• Purpose-driven work: Contribute meaningfully to a safer AI future while enabling groundbreaking innovation.

• Strategic visibility: Directly impact high-profile AI safety initiatives with industry-leading customers.

• Growth opportunities: Collaborate with top-tier AI talent and help shape an emerging industry.

• Supportive culture: Enjoy competitive compensation, flexible work arrangements, and significant investment in your professional and personal growth.

How We Partner To Protect You: TaskUs will neither solicit money from you during your application process nor require any form of payment in order to proceed with your application. Kindly ensure that you are always in communication with only authorized recruiters of TaskUs.

DEI:In TaskUs we believe that innovation and higher performance are brought by people from all walks of life. We welcome applicants of different backgrounds, demographics, and circumstances. Inclusive and equitable practices are our responsibility as a business. TaskUs is committed to providing equal access to

We invite you to explore all TaskUs career opportunities and apply through the provided URL.