Join Netic as an Applied AI Research Engineer to drive impactful ML projects in a cutting-edge AI-first environment.
Posted by employer 1 year ago
First seen on Joblaze 1 month ago
Last verified on the company career page 10 hours ago
Skills & Technologies
AI in the day-to-day
You'll dive deep into cutting-edge research and execute targeted ML projects that deliver pure magic.
Requirements
- Experience
- 4+ years
Not disclosed in this posting: compensation, work arrangement, visa sponsorship.
Joblaze summary
In the role of Applied AI Research Engineer at Netic, the individual will engage in advanced research and execute machine learning projects that enhance business operations for essential services. Proficiency in ML techniques, particularly with tools like PyTorch or JAX, is crucial, alongside a strong background in data engineering and product development. This position is ideal for experienced professionals who thrive in a fast-paced, innovative environment and possess a track record of translating research into impactful solutions. Netic's team comprises experts from top tech and academic institutions, fostering a culture of relentless building and customer obsession.
Joblaze insights
- Listed about a month ago — first seen on Joblaze September 3, 2026. Last confirmed on Netic's careers page October 27, 2026.
- PyTorch appears in 15.6% of 1073 comparable senior ai/ml roles; cloud-native infrastructure appears in 0.1% of 1073 comparable senior ai/ml roles.
Quick facts
- How much experience is required?
- At least 4 years of relevant experience for this Applied AI Research Engineer role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: A/B experimentation, ETL, JAX, ML, PyTorch, cloud-native infrastructure.
- What seniority level is this role?
- Netic targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Applied AI Research Engineer role at Netic.
From the original posting
As an Applied AI Research Engineer, you’ll dive deep into cutting-edge research, understand the business functions we put on autopilot inside-out, and execute targeted ML projects that deliver pure magic.
What You'll Do:
Study the frontier: Track frontier work in traditional ML, LLMs, multimodal models, retrieval, and agentic systems—then distill it into ideas we can ship.
Identify high‑ROI projects: Partner with GTM and ops teams to spot bottlenecks in products; define ML projects that unlock significant leverage for customers.
Build targeted models: Own the full cycle—data curation, training, evaluation, and deployment—delivering systems that solve real customer pain points.
Productionize solutions: Integrate models into our real-time platform via robust APIs and streaming pipelines, ensuring model performance and guardrails from day one.
Self‑direct & ship: Operate like a founder—set technical roadmap, validate quickly, and iterate based on real-world results.
What You'll Bring:
Deep ML experience: Extensive work with cutting-edge ML techniques; fluent in PyTorch or JAX and modern serving frameworks.
Research‑to‑revenue record: Proof you’ve taken novel ML concepts from paper → prod with measurable $$ impact or user growth.
Full‑stack pragmatism: Comfortable with ETL, feature stores, cloud-native infrastructure, and A/B experimentation.
Data engineering skills: Experience working with complex, real-world data streams and building reliable training pipelines.
Product intuition: Ability to understand customer workflows and translate business needs into technical solutions.
Ownership model: You default to action, uphold a high craftsmanship bar, and treat failure modes as learning‑rate multipliers.
Our values
Obsess over the customer
Every second counts
Sweat the details
There are no blockers
Be self-directed
Seek and speak the truth
Enjoy the ride
Standard company text repeated across Netic's postings is omitted here.