Lead, AI Safety Researcher
Lead, AI Safety Researcher
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Job Description
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 45000 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 moments 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 employees career within TaskUs. Join our team today and experience firsthand our dedication to supporting People First.
Frontier models are reshaping every industry but realworld safety still lags behind the pace of innovation. TaskUs already delivers AI safety services to some of the worlds most ambitious model builders and app developers; were investing in original research that pushes the field forward and lands in production.
As our first Lead AI Safety Researcher you will set the direction for an applied research team spearhead highimpact collaborations and turn new ideas into tools clients use every day.
The impact youll make:
Define the agenda: Establish a research roadmap across alignment robustness interpretability and policy all prioritized for realworld impact.
Publish & ship: Produce peerreviewed papers and productionready evaluation frameworks adopted by Fortune 500 clients.
Grow the practice: Mentor two additional researchers (and counting); instil rigorous methodology fast iteration and client focus.
Raise TaskUs profile: Build partnerships with leading universities standards bodies and opensource communitiespositioning TaskUs as a thought leader not just a service vendor.
What youll do:
Conduct original research on model alignment adversarial robustness mechanistic interpretability promptsafety evaluation and finetuning techniques (RLHF RLAIF).
Prototype safety interventions on large language models: jailbreak detection policyguided decoding and drift monitoring at scale.
Develop reproducible benchmarks and opensource tooling; contribute code in Python PyTorch/JAX/TensorFlow and evaluation libraries (e.g. LangChain Tracr).
Lead clientfacing studies: Design redteam exercises custom audits or bias / toxicity assessments in collaboration with Solutions Engineering and Delivery.
Manage external collaborations with academic labs and industry consortia; coauthor papers and organise joint workshops.
Set team cadence: Define quarterly OKRs oversee experiment pipelines review code and study designs and ensure results land on schedule (weeks to months not years).
Advise leadership on emerging AI safety standards (NIST RMF EU AI Act ISO 42001) and translate them into service offerings.
Experiences youll bring:
8 years combined research & development in technology including 3 years focused on AIML safety robustness or trustworthy AI.
MS or PhD in Computer Science Machine Learning or a related field; peerreviewed publications at venues like NeurIPS ICML AIES or FAccT.
Demonstrated success deploying or evaluating safety techniques on large language models in production or client settings.
Hands-on mastery of Python and at least one deeplearning framework (PyTorch TensorFlow or JAX).
Experience leading small research teams or mentoring junior researchers; comfortable setting direction and giving feedback.
Track record of crossfunctional work with product engineering or services teams on tight timelines.
Core skills youll need:
Research design & statistical rigor - hypothesis generation experimental design and reproducible analysis.
Safety evaluation expertise: adversarial testing mechanistic interpretability prompt evaluation and finetuning methods (RLHF/RLAIF).
Communication & evangelism: clear technical writing conference speaking and ability to explain complex ideas to clients and nonexperts.
Regulatory fluency: working knowledge of emerging frameworks (NIST RMF EU AI Act ISO 42001) and their practical implications.
Strategic agility: switch between deep work and rapid clientdriven requests; prioritise for maximum impact.
Nice to have: Experience with multimodal models formal verification differential privacy or safetyrelated opensource contributions.
Why youll love this role:
Dual impact: Publish cuttingedge research and see it deployed with real users weeks later.
Greenfield leadership: Build the research function from day one and shape its culture tools and agenda.
Highcalibre peers: Collaborate with seasoned engineers solutions architects and GTM leads who care deeply about safe AI.
Mission & momentum: Help solve one of the most important problems in tech while riding a rapidly growing services business.
Ready to push AI safety from theory to practice
Apply today and chart the next frontier of trusted AI.
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 opportunities. If you need reasonable accommodations in any part of the hiring process please let us know.
We invite you to explore all TaskUs career opportunities and apply through the provided URL
Employment Type
Full-Time
Key Skills
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