Senior Machine Learning Engineer

6 days ago

India Truxt.ai Full time
ai, we're not just another startup—we're solving large enterprises' biggest data paradoxes and pioneering the world's first fully autonomous software operations. As an early-stage company driven by a meaningful mission, we seek exceptional engineering talent who values purpose, long-term impact, and significant equity ownership over traditional salary compensation.

As a Founding Senior Machine Learning Engineer, you'll be instrumental in architecting our AI-driven autonomous systems, directly influencing our core ML infrastructure, model deployment strategies, and data engineering decisions. You won't just be implementing models—you'll have the freedom to research, experiment, and deploy cutting-edge ML solutions while building substantial ownership in our company's future.

Founding engineers receive substantial equity packages (competitive with senior engineer salaries at scale), ensuring you directly benefit from the value you create.
Directly influence product direction, company culture, and growth strategy.
Collaborative environment, weekly strategy sessions, and full visibility into company health and roadmap.
Are financially positioned to accept equity-only compensation during our early growth phase.
Founding-level equity stake that reflects your early-stage commitment and risk.
Compensation Structure
ML Expertise
Proactive problem-solver who identifies, iterates, and ships solutions.
ML Veteran: 5+ years building and deploying production ML systems at scale
Hands-on experience with transformer architectures, LLMs, and generative AI
Expert in ML pipeline orchestration, model monitoring, and A/B testing frameworks
Programming Excellence: Proficiency in Python, with experience in PyTorch/TensorFlow, and familiarity with systems languages (Go, Rust, C++)
Enterprise AI: Experience deploying ML models in enterprise environments with strict SLAs
Data Engineering: Comfortable with large-scale data processing, feature engineering, and real-time inference
Cloud ML Platforms: Experience with AWS SageMaker, Google AI Platform, or Azure ML
Knowledge of model compression, quantization, and edge deployment

If you're done optimizing ad algorithms or CRUD apps and eager to tackle genuinely impactful problems while building true ownership in a revolutionary company, send us your profile.

Accelerated Application Process for ML Engineers: To expedite your application and demonstrate your problem-solving skills, please complete one of the following:
# Share a recent ML project, paper, or open-source contribution you're proud of

"No great engineer ever joined a startup just for salary—join us for the mission, the freedom, the opportunity to turn your boldest ideas into reality, and the chance to own a meaningful piece of the future we're building together."

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