Databricks
Databricks ML Engineer Intern (Remote) 2026
Vetted Status
Premium Entry
Eligibility
Verified Access
Track
Job Program
Build ML tooling, pipelines, and demos on Lakehouse at Databricks in a remote fellowship.
Snapshot
Role Overview
Company
Databricks
Role
ML Engineer Intern
Location
Remote
Duration
12-16 weeks
Stipend
Expected/Indicative: USD 5k–7k/month
Work Hours
40 hours/week
Employment Type
Intern
Experience
0-2 years
Fit Check
Eligibility & Skills
Students/new grads with Python, ML, and data engineering basics
B.S./M.S. in CS/DS/Stats/Math or related
2026/2027 grads
Per company policy
What you will work on
- Build ML pipelines and feature engineering on the Lakehouse stack.
- Create demos/notebooks showcasing GenAI/ML capabilities.
- Improve tooling for experimentation and monitoring.
What makes you a fit
- Python/ML experience with solid data foundations.
- Familiarity with PySpark/SQL and cloud basics.
- Communication skills for distributed teams.
Interview stages
- Recruiter screen.
- Technical coding/ML round.
- Systems/data design discussion.
- Offer with stipend and remote onboarding.
Professional Impact & Strategic Value
Participating in the Databricks program is a transformative milestone for ambitious students. This role provides direct exposure to institutional-grade workflows, industry-standard methodologies, and high-authority professional circles in the Software sector.
Why FellowshipHub Elite?
- Verified Sources: 100% official application tracks with zero middlemen.
- Strategic Prep: Gain insights from our industry-vetted career blueprints and interview guides.
- Premium Outcomes: Direct pathways to India's most prestigious labs, corporate centers, and global research hubs.
Application Intelligence
The Databricks selection committee prioritizes candidates who demonstrate technical rigor and a growth-oriented mindset. Ensure your professional portfolio highlights specific impact metrics and institutional alignments before following the "Apply Now" portal above.
Strategic Value of the Databricks Experience
Securing a ML Engineer Intern position at Databricks is a significant milestone for any ambitious student. In the professional landscape, practical exposure to Databricks's workflows is valued higher than theoretical knowledge alone. This job is designed to bridge the gap between academic foundations and high-stakes industry execution.
- High-Impact Project Ownership
- Direct Mentorship from Industry Veterans
- Access to Proprietary Technical Frameworks
- Elite Networking within the Tech/Pharma Ecosystem
The "Elite" Advantage
Candidates who successfully complete this program often find themselves in the top 1% of applicants for future full-time roles. The skills developed—particularly inPython/PySpark, ML modeling, Data pipelines, Cloud basics—are in critical demand worldwide.
Market Rating
Tier-1 Elite
Resumé Impact
+92% Lift
Preparation Blueprint for the Cycle
Portfolio Optimization
Ensure your GitHub, Behance, or Portfolio website highlights real-world applications of Python/PySpark, ML modeling, Data pipelines. Theoretical knowledge is secondary to proven execution.
Algorithm & Domain Depth
Databricks technical evaluations are rigorous. Focus on core fundamentals and case-study analysis specific to the ML Engineer Intern track.
Intelligence & FAQ
How competitive is the Databricks ML Engineer Intern (Remote) 2026?
The Databricks ML Engineer Intern (Remote) 2026 at Databricks is a highly sought-after job program. Given Databricks's premium status in the industry, applicants are evaluated on a holistic basis, focusing on academic excellence, technical proficiency in Python/PySpark & ML modeling, and a demonstrated passion for the field.
What is the stipend for the undefined cycle?
Participants typically receive Expected/Indicative: USD 5k–7k/month alongside professional mentorship. Beyond the financial benefits, the networking opportunities and the Databricks brand name on your resume offer immense long-term career value.
Is the ML Engineer Intern position open to international students?
While primarily targeting students from recognized institutions, eligibility can vary. It is highly recommended to check the specific visa and residency requirements during the final application stage.
Ready to join the next generation of pioneers at Databricks?
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