Remote Machine Learning Engineering Intern with verification

About OntraOntra is the global leader in AI legal tech for private markets. Powered by industry-leading AI, data from 1M+ contracts, and a global network of legal professionals, Ontra's private markets technology platform streamlines and optimizes critical legal and compliance workflows across the full fund lifecycle. Ontra’s purpose-built solutions automate contracts, streamline obligation management, digitize entity management, and surface insights. Trusted by more than 800 global GPs, investment banks, law firms, and advisors - including nine of the top ten PEI-ranked firms worldwide - Ontra helps firms focus on what’s important to them.Our CultureOntra is a remote-first company that values the power of connection. We find innovative ways to stay connected, both virtually and in person. By promoting ownership, inspiring creativity, and championing collaboration, Ontra enables you to shape your impact and growth. Our commitment to innovation extends beyond our technology; it’s embedded in our culture, and AI plays a crucial role in everything we do.Our culture is one where belonging is the cornerstone of every interaction, rooted in acceptance and respect for all. Our commitment to inclusion begins at the application process, ensuring a fair and equitable hiring experience that values the unique contributions you bring from day one.About the RoleOntra is seeking multiple 2025 summer Machine Learning (ML) engineering interns in our ML team. For this job, we are currently only hiring candidates based in or willing to relocate to San Francisco, Santa Barbara, or New York City. Relocation assistance will not be provided. Interns are expected to work from their assigned office location two days per week.We’re looking for someone excited to lead innovative ML projects using GenAI and LLM models, collaborate with a knowledgeable MLE mentor and cross-functional teams, and drive product development with engineering excellence.If you are enthusiastic about Machine Learning Engineering, skilled in ML fundamentals like probability, supervised/unsupervised learning, deep learning, and natural language processing, familiar with tools such as TensorFlow and Scikit-learn, experienced in working with distributed computing systems and cloud platforms like AWS or Azure, and proficient in a modern programming language such as Python or Java, we’d love to get to know you!What You’ll Do

• Cross-Functional Collaboration: Engage with diverse teams like Product Management, Data Science, and App/Infra/Data/Quality Engineering to foster cohesive project development.
• Project Specifications and Design: Participate in discussions and reviews to shape technical design, ensuring alignment with project goals.
• Model Development and Deployment: Assist in developing, evaluating, and deploying ML models, followed by collecting feedback and performing model fine-tuning.
• Coding and Testing: Contribute to writing and testing code, ensuring robustness and efficiency in ML solutions.
• Mentorship and Learning: Work closely with a senior ML engineer and manager to gain insights and guidance throughout the internship experience.

What You’ll Bring

• Educational Background: You are currently enrolled in a degree-granting program at an accredited college or university and have completed at least the equivalent of 3 years of a Bachelors degree in Computer Science, Applied Mathematics, Statistics, or a related scientific field OR actively pursuing a Masters/PhD degree in one of those fields
• Passion and Learning Agility: A quick learner with a strong interest in GenAI and Large Language Model (LLM) technology.
• Collaboration and Communication: A team player with excellent collaboration and communication skills to effectively contribute to and learn from diverse teams.
• Action-Oriented Approach: Demonstrates an action-oriented and results-driven mindset, motivated to achieve project outcomes efficiently.
• Preferred Experience: Previous internship experience in Machine Learning Engineering is preferred.

EligibilityWe are currently considering candidates with the following expected graduation dates:

• Undergraduate programs: May 2025 through June 2026
• Graduate programs: Up to June 2027

Additionally, you must be available to work full-time throughout the duration of the internship program.Please note that you must be legally authorized to work in the U.S. for any employer and not require employment-based sponsorship now or in the future.Pay TransparencyOntra takes market research as well as individual candidate location, experience, and skills into consideration when determining compensation for our internship program.If you are selected to participate in our interview process, a member of our team will share more details about the total compensation package for the role, including benefits programs that may be available to participants of this internship program.Hourly Base Pay Rates

• Undergraduate: $52/hour USD
• Masters: $65/hour USD
• PhD: $78/hour USD

Hiring LocationsWe currently hire exclusively in the locations listed below. Select jobs may have more specific location requirements due to business needs.United StatesArizona, California, Colorado, Connecticut, Florida, Georgia, Illinois, Massachusetts, Maryland, Minnesota, North Carolina, New Jersey, Nevada, New York, Oregon, Pennsylvania, Tennessee, Texas, Utah, Virginia, Washington APACHong Kong, Singapore EMEAUnited KingdomBenefits Snapshot

• Remote-first working policy, with office hubs in SF, NYC, Santa Barbara, and London
• Twice yearly team offsites for in-person collaboration
• Paid flexible time off policy
• Paid parental leave and benefits
• Employer-supported retirement contributions, varying by country
• Monthly phone and internet reimbursement
• Company-sponsored LinkedIn Learning accounts, department budgets for professional development, and robust onboarding program
• Various options for medical, dental, and vision insurance

Travel Occasional travel is required for Ontra employees, including typically at least twice per year to attend team and larger group off-sites for in-person collaboration. For some roles, additional travel may be required based on the requirements of the role and business need.InclusivityOntra is committed to the full inclusion of all qualified individuals. As part of this commitment, Ontra will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact [email protected].Personnel Privacy Notice: View here.Note on Employment Verification: All employees hired will be required to verify identity and eligibility to work in their particular location.Note to External Agencies: We are not accepting any blind submissions or resumes/CVs from recruitment agencies. Any candidates sent to Ontra will NOT be accepted or considered as a submission without a signed agreement in place.#BI-Remote