machine learning intern

Sony

<div>Sony AI America, a branch of Sony AI, is a remotely distributed organization spread across the U.S. and Canada. Sony AI is Sony&rsquo;s new research organization pursuing the mission to use AI to unleash human creativity. Sony AI works closely with Sony&rsquo;s other business units, including Sony Interactive Entertainment LLC., Sony Pictures Entertainment Inc., and Sony Music Entertainment. With some 900 million Sony devices in hands and homes worldwide today, a vast array of Sony movies, television shows and music, and the PlayStation Network, Sony creates and delivers more entertainment experiences to more people than anyone else on earth. To learn more: https://ai.sony/
<div><div>Position Summary
</div><div>Sony AI is seeking research interns who are passionate about ML-based technologies that are useful in movie , game , and music creation, as well as technologies for the ethical operations of generative AIs. Our mission is to research and develop technologies for various Sony Group products and for scientific publication. The technologies developed during the internship will have the potential to be applied in film, game , and music production across entertainment studios worldwide. 
</div><div>Responsibilities
</div><div>As a research intern, you will investigate and apply novel algorithms related to:
</div><div>The generation and editing of video, sound, and 3D visual geometry (including 3D human motion).
</div><div>The analysis and alleviation of ethical flaws in generative models, including techniques for memorization detection and mitigation, concept erasure, and data attribution.
</div><div>Your goal will be to publish your findings in a top-tier conference. You are expected to be self-motivated and to implement innovative ideas using your research, coding, and problem-solving skills. You will receive support from internal scientists and engineers in your efforts. 
</div><div>Required Qualifications
</div><div><ul><li>Master&rsquo;s degree in Computer Science , Electrical Engineering, Applied Mathematics, or related fields.
</li></ul></div><div><ul><li>Proven knowledge and expertise in generative AI applications, including deep generative modeling, computer vision, and audio signal processing.
</li></ul></div><div><ul><li>Strong analytical and programming skills in deep learning using frameworks and tools for machine learning (e.g., PyTorch ) and visualization (e.g., TensorBoard ).
</li></ul></div><div><ul><li>Experience in research communities, including published papers at top-tier conferences such as CVPR, ICCV, ECCV, NeurIPS , ICLR, and ICML.
</li></ul></div><div><ul><li>Excellent communication and presentation skills. 
</li></ul></div><div>Preferred Qualifications
</div><div><ul><li>Currently enrolled in a relevant Ph.D. program in fields such as Computer Science, Electrical Engineering, Applied Mathematics, or related disciplines. 
</li></ul></div></div><div>Working Location
</div><div>Location flexible (Tokyo, NYC, remote)
<div>The target hourly rate for this internship is $50.00 per hour. The individual will be paid hourly and eligible for overtime .
#LI-AS1
</div></div>All qualified applicants will receive consideration for employment without regard to any basis protected by applicable federal, state, or local law, ordinance, or regulation.
Disability Accommodation for Applicants to Sony Corporation of America Sony Corporation of America provides reasonable accommodation for qualified individuals with disabilities and disabled veterans in job application procedures. For reasonable accommodation requests, please contact us by email at careers@sonyusa.com or by mail to: Sony Corporation of America, People Experience Department, 25 Madison Avenue, New York, NY 10010. Please indicate the position you are applying for.
We are aware that unauthorized individuals or organizations may attempt to solicit personal information or payments from job applicants by impersonating our company through fraudulent job postings. We take these matters seriously but cannot control third-party websites. To protect your personal information, please verify that any job posting you respond to also appears on our official Careers page: www.sonyjobs.com . Please also be advised that we never request personal identifying information (such as Social Security numbers, bank details, or copies of identification documents) during the initial stages of our application process. If you have any doubts about the authenticity of a job posting or communication, please contact careers@sonyusa.com before submitting any information.
Right to Work (English/Spanish)
E-Verify Participation (English/Spanish)</div>

Research Intern on Generative and Protective AI for Content Creation

The New York Times

<div><div><div><div><div><div>The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It's why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It's why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it's why our business strategy centers on making journalism so good that it's worth paying for.
</div>
</div></div></div></div>About the Role, Mission or Department Overview

The New York Times is hiring a Machine Learning Scientist to join the New A.I. Products &amp; Platforms mission. We are a team building the next generation of reader-facing A.I. experiences for one of the world's most trusted news organizations. 


You will join a team of ML scientists developing embedding models and retrieval algorithms to power new A.I. experiences across our products. You will design and train embedding models for representation learning and fine-tune language models for custom use cases and content enrichment. Your work will allow teams across the company to build, deploy, and manage applications that use large language models (LLMs) to promote our journalism and our business. You will report to our Director, Machine Learning. This is a hybrid remote/in-office role. 


Responsibilities:
<ul>
<li>You will design and train embedding models for representation learning, for example using transformer encoders and Two Tower architectures.
</li>
<li>You will fine-tune and evaluate language models for custom use cases and content enrichment.
</li>
<li>You will contribute to shared practices around evaluation, responsible A.I. use, and what &quot;good&quot; is inside an organization where judgment and independence are important
</li>
<li>You will implement and deploy machine learning and AI research with robustness and reproducibility, with consideration of risks and trade-offs
</li>
<li>You will adapt or develop ML and AI algorithms in cases when existing techniques are insufficient, while implementing simple approaches
</li>
<li>You will communicate complex ideas in machine learning and AI while collaborating with all kinds of colleagues in engineering, analytics, product management, marketing, editorial, and executive leadership groups
</li>
<li>Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world.</li></ul> 

Basic Qualifications:
<ul>
<li>PhD, MS + 2 years experience, or 3+ years work experience in machine learning, statistics, computational social science, applied mathematics, or another quantitative/computational discipline
</li>
<li>2+ years experience with open source machine learning or statistical analysis tools
</li>
<li>2+ years coding experience in Python
</li>
<li>2+ years experience in SQL and manipulating large structured or unstructured datasets for analysis
</li>
<li>1+ years of experience with deep learning architectures, fine-tuning, embeddings and Pytorch or Tensorflow</li></ul> 

Preferred Qualifications:
<ul>
<li>1+ years of experience with information retrieval or search systems
</li>
<li>1+ years of experience translating ambiguous business questions into machine learning problems
</li>
<li>1+ years of experience building data products, either internal or consumer-facing
</li>
</ul>REQ-020337<div> 
For roles in the U.S., dependent on your role, you may be eligible for variable pay, such as an annual bonus and restricted stock. Benefits may include medical, dental and vision benefits, Flexible Spending Accounts (F.S.A.s), a company-matching 401(k) plan, paid vacation, paid sick days, paid parental leave, tuition reimbursement and professional development programs.

For roles outside of the U.S., information on benefits will be provided during the interview process.

We're excited to learn more about you and your experience. To keep our hiring process as fair and authentic as possible, we ask that you submit your own work and not use GenAI tools to generate substantive content during the application and interview process.

If you're an Engineering candidate, we'll let you know what specific GenAI tools you are permitted to use for your technical assessment.

The New York Times Company is committed to being the world's best source of independent, reliable and quality journalism. To do so, we embrace a diverse workforce that has a broad range of backgrounds and experiences across our ranks, at all levels of the organization. We encourage people from all backgrounds to apply.

We are an Equal Opportunity Employer and do not discriminate on the basis of an individual's sex, age, race, color, creed, national origin, alienage, religion, marital status, pregnancy, sexual orientation or affectional preference, gender identity and expression, disability, genetic trait or predisposition, carrier status, citizenship, veteran or military status and other personal characteristics protected by law. All applications will receive consideration for employment without regard to legally protected characteristics. The U.S. Equal Employment Opportunity Commission (EEOC)'s Know Your Rights Poster is available here.

The New York Times Company will provide reasonable accommodations as required by applicable federal, state, and/or local laws. Individuals seeking an accommodation for the application or interview process should email reasonable.accommodations@nytimes.com. Emails sent for unrelated issues, such as following up on an application, will not receive a response.

The Company encourages those with criminal histories to apply, and will consider their applications in a manner consistent with applicable &quot;Fair Chance&quot; laws, including but not limited to the NYC Fair Chance Act, the Los Angeles Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.

For information about The New York Times' privacy practices for job applicants click here.

Please beware of fraudulent job postings. Scammers may post fraudulent job opportunities, and they may even make fraudulent employment offers. This is done by bad actors to collect personal information and money from victims. All legitimate job opportunities from The New York Times will be accessible through The New York Times careers site. The New York Times will not ask job applicants for financial information or for payment, and will not refer you to a third party to do so. You should never send money to anyone who suggests they can provide employment with The New York Times.

If you see a fake or fraudulent job posting, or if you suspect you have received a fraudulent offer, you can report it to The New York Times at NYTapplicants@nytimes.com. You can also file a report with the Federal Trade Commission or your state attorney general.</div></div>

Machine Learning Scientist, New AI Products and Platforms

Mercor

<div>
 
 About The Job
 
 
 
 
 Mercor
 
 connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include
 
 Benchmark
 
 ,
 
 General Catalyst
 
 ,
 
 Peter Thiel
 
 ,
 
 Adam D'Angelo
 
 ,
 
 Larry Summers
 
 , and
 
 Jack Dorsey
 
 .
 
 
 
 Position:
 
 ML Engineer (Coding Agent Experience)
 
 
 
 Type:
 
 
 Contract
 
 
 
 
 Compensation:
 
 
 $85/hour
 
 
 
 
 Location:
 
 
 Remote
 
 
 
 
 Role Responsibilities
 
 
 
 <ul>
 <li>
 Use frontier AI coding agents to complete and evaluate complex machine learning and AI engineering tasks.
 </li>
 <li>
 Review model-generated implementations involving model training, inference systems, MLOps, and LLM applications.
 </li>
 <li>
 Identify bugs, edge cases, performance issues, and failure modes in AI models.
 </li>
 <li>
 Compare outputs from multiple frontier models and assess their strengths and weaknesses.
 </li>
 <li>
 Apply professional engineering judgment to realistic ML engineering scenarios.
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Must-Have
 
 
 
 <ul>
 <li>
 2+ years of professional machine learning engineering experience.
 </li>
 <li>
 Experience building production ML systems, model deployment infrastructure, LLM applications, or AI-powered products.
 </li>
 <li>
 Regular use of AI coding agents such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar tools.
 </li>
 <li>
 Ability to evaluate model-generated machine learning implementations and technical tradeoffs.
 
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
 <li>
 Experience deploying ML systems to production.
 
 
 
 </li>
 </ul>
 
 Compensation &amp; Legal
 
 
 
 <ul>
 <li>
 $400 per accepted task
 </li>
 <li>
 Compensation is tied to accepted work.
 
 
 
 </li>
 </ul>
 
 Application Process (Takes 20&ndash;30 mins to complete)
 
 
 
 <ul>
 <li>
 Upload resume
 </li>
 <li>
 AI interview based on your resume
 </li>
 <li>
 Submit form
 
 
 
 </li>
 </ul>
 
 Resources &amp; Support
 
 
 
 <ul>
 <li>
 For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
 </li>
 <li>
 For any help or support, reach out to: support@mercor.com
 
 
 
 </li>
 </ul>
 
 PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
 
</div>

AI/ML Engineer - Fully Remote | Upto $85/hr

Software Engineer, Machine Learning RecSys

Achira

<div><h1 class="jobSectionHeader">Why Achira</h1>
At Achira, we are building a team of world-class scientists, ML researchers, and engineers to work together to move beyond the beaten path in drug discovery. We are actively exploring the next frontier of model architectures for AI x Chemistry: developing world models for the physical microcosm. Our goal is to make biology at the molecular level something that can be learned, predicted, and designed.
At Achira, you&rsquo;ll operate at the frontier scale of massive compute, massive data, and massive ambition. You&rsquo;ll own impactful work end-to-end, from ideation to architecture to deployment on distributed infrastructure. We are a well-funded, talent-dense organization that values rigor, speed, execution, and an ownership mindset. We&rsquo;re looking for new members who share our sense of relentless urgency and are natural collaborators who value team success.<h1 class="jobSectionHeader">
About the Role</h1>
We&rsquo;re looking for deep learning researchers who want to build rich representations of atomistic systems to help teach AI about the microscopic world. You will collaborate with domain experts in molecular modeling to develop Achira&rsquo;s next-generation foundation models. You&rsquo;ll work at the intersection of model architecture, data, and training strategy to find new points on the Pareto frontier of accuracy and speed for microscale world models.
While we prefer candidates willing to work from our San Francisco office, highly skilled candidates may be considered for working from New York City with travel to San Francisco as needed. Both locations are offered as hybrid roles, spending at least some of your time working from the office in collaboration with coworkers. Travel is part of all roles at Achira, both to conferences and corporate on-site activities.<h1 class="jobSectionHeader">
What You&rsquo;ll Do</h1><ul><li>
Build a robust pre-, mid-, and post-training curriculum that ensures foundation model performance and impact.</li><li>
Create reenforcement learning strategies to help models focus their capacity where it matters most, especially when the training data doesn&rsquo;t cover the domain of applicability.</li><li>
Develop expressive representations of molecular and atomistic structure and dynamics, including equivariant graph neural networks, geometric transformers, and latent encoders that capture physical symmetries and constraints.</li><li>
Prototype, benchmark, and iterate rapidly to transform research ideas into reusable and scalable components across Achira&rsquo;s ecosystem.</li><li>
Collaborate with physicists and chemists to ensure models are grounded in real physics.</li><li>
Work with research engineers and the infrastructure team to identify where research ideas will need support in order to deliver effective results.</li></ul><h1 class="jobSectionHeader">
About You</h1><ul><li>
Drive to apply modern ML techniques to solve problems at the frontier of the microscopic world.</li><li>
A willingness to follow the data and embrace an empirical approach to the bitter lesson.</li><li>
A pragmatic approach to inductive bias (eg. physical priors, equivariance) in model building.</li><li>
Experience designing, running and analyzing ML experiments at scale.</li><li>
Experience with 3D geometric deep learning.</li><li>
Machine learning researcher with professional experience (post-degree) in an industry setting.</li><li>
Demonstrated research impact through conference talks or publications (in machine learning venues), open-source contributions, or released models.</li><li>
Strong interdisciplinary communication and presentation skills and the ability to translate ideas and concepts to colleagues from non-ML backgrounds.</li><li>
Proficiency in Python and modern ML frameworks (PyTorch, JAX).</li><li>
Experience collaborating on research projects across multi-person teams.</li></ul><h1 class="jobSectionHeader">
Nice to Have</h1>
Achira values excellent ML researchers from many backgrounds, and expect members of the team to contribute complementary strengths. If the work excites you, we encourage you to apply, even if you hit none of the bonus features listed below!<ul><li>
Experience with self-supervised representation learning techniques.</li><li>
Experience with Bayesian deep learning techniques and uncertainty quantification.</li><li>
Experience developing or applying generative models for 3D systems.</li><li>
Experience with equivariant graph neural network architectures (NequIP, MACE, SchNet, PaiNN, or similar).</li><li>
Prior experience working in or with researchers in the domains of computational chemistry, biology, or materials science.</li><li>
Experience working with multi-cloud distributed compute systems.</li><li>
Experience working with multi-site distributed company team.</li></ul>
Compensation Range: $164,638 - $259,000</div>

ML Research Scientist (MLRS) - Representation Learning for Molecular AI

Meta Viable Solutions

Part-time-Internship Position:Digital AI Content Creator and Social Media Manager Intern (US RESIDENTS ONLY)Company Description:We are looking for a Digital AI Social Media Manager and Content Creator Intern to join our team! Individuals who love creating videos and content for social media, and learning new tools to do so. Should be equipped in AI generation for content creation. This is a REMOTE Position.THIS IDEAL CANDIDATE FOR THIS POSITION IS A PROBLEM-SOLVER, WILL LEARN NEW AI GENERATION TOOLS, AND SHOULD HAVE SKILLS TO DO BOTH CONTENT CREATION AND SCHEDULING CONTENT.Company Description:Meta Viable Solutions offers Fractional COO and consulting services. We are seeking new members of our team to help expand clientele through strategic online marketing methods that will help us gain authentic and responsive following. We are seeking a college or post college grad intern to help with brand development and online presence, to help us identify and attract new leads through target marketing and create social media brand content. We are a small business and looking for someone to support our team with digital marketing and content creation. We are looking to create brand awareness and expand our clientele. This is a part-time internship where you can gain valuable experience. 6 month minimum requirement. College Credit is available.What You Can Gain From This Internship<ul><li>Knowledge, mentorship and guidance from a successful business owner</li><li>Professional experience with brand development</li><li>First hand experience with online and digital marketing</li><li>Experience to build your resume and personal portfolio</li><li>Experience in business development</li><li>HOURS SHOULD BE FLEXIBLE</li><li>CAN WORK REMOTELY, BUT WILL BE REQUIRED FOR PHONE OR IN PERSON MEETINGS AS NEEDED (DEPENDING ON LOCATION)</li></ul>If You Are Interested Please Send The Following<ul><li>Resume (as pdf or word document)</li><li>Statement- Why you are interested in the position</li><li>All your social media handles</li><li>Portfolio of work (if available, via attachments or url links)</li><li>1 Reference</li><li>Start and End Dates Available</li><li>Availability (how many days per week/time, etc)</li></ul>THIS POSITION IS FOR U.S. RESIDENTS ONLY. ENGLISH PROFICIENCY A MUST.Responsibilities<ul><li>Assist with business development and creation of online branding and content</li><li>Create engaging content and target marketing for brand online marketing website and social media (instagram, twitter, facebook, linked) to help with business development and leads</li><li>Create effective captions/hashtags for social media content and schedule content for brand</li><li>Proficient in graphic design (canva), instagram, fb, linkedin, and social media,other programs like CapCut and video creators.</li><li>Proficient in Google Flow, AI Generation, HEYGEN</li><li>Create content to attract and identify potential business leads and clients</li><li>Research and stay updated with social media changes and report changes to Company</li><li>Assist with social media campaigns &amp; newsletters</li><li>Utilize apps for optimization</li><li>Review social media analytics to see performance</li><li>Identify strategic media relationships &amp; new creative media strategies</li><li>Build new alliances with potential media outlets to increase publicity</li></ul>SERIOUS CANDIDATES WHO HAVE TIME TO INTERN ONLY. U.S. RESIDENTS ONLY APPLY.REQUIREMENTS<ul><li>Interested in branding, digital marketing, business development, communications, market analytics</li><li>Business-oriented &amp; focused</li><li>Interest or experience in digital marketing, communications, marketing, social media and business development preferred</li><li>Reviews social media analytics and adjusts campaigns accordingly</li><li>LOVES USING SOCIAL MEDIA &amp; CREATIVE</li><li>LOVES USING APPS TO CREATE ENGAGING COOL CONTENT</li><li>PROFICIENT IN SOCIAL MEDIA INSTAGRAM Twitter, Facebook</li><li>Intern should be proficient in using apps for optimal posting.</li><li>PR experience working on campaigns for brands or media relations</li><li>RELIABLE- ABILITY TO MULTI-TASK, WORK AT FAST PACE, MEET DEADLINES AND STAY IN COMMUNICATION WITH CEO</li><li>Proficient in Canva, video apps (CapCut, etc), Adobe Creative Suite and iMovie (or any video editing software), MAC proficient, but not required</li><li>Proficient in researching and staying updated with social media changes</li><li>Independent worker who can also work collaboratively with the team</li><li>Leader able to take initiative on projects SELF-STARTER</li><li>Able to work with little supervision</li><li>Creative with social media content creation (videos, apps, etc), interest in marketing</li><li>Have excellent written and verbal communication skills</li><li>Be resourceful and ready to take initiative</li><li>Able to juggle priorities and deliver dazzling results and meet deadlines</li><li>Experience in branding, executing successful digital and social media strategies, tactics and programs</li><li>Able to establish relationships with various media outlets</li><li>Responsive</li><li>Experience executing successful digital and social media strategies, tactics and programs</li><li>Able to establish relationships with various media outlets</li></ul>Majors and Programs of Interest May Include:Digital Arts &amp; Social MediaDigital Communication and Media/MultimediaRadio, Television, and Digital CommunicationWeb Page, Digital/Multimedia and Information Resources DesignBusiness, Management, Marketing, and Related Support ServicesMarketing/Marketing ManagementMarketingPublic Relations/Image ManagementEntrepreneurial and Small Business OperationsPublic Relations/Image ManagementPublic Relations, Advertising, and Applied CommunicationJob Type: InternshipBenefits:<ul><li>Flexible schedule</li><li>Professional development assistance</li></ul>Application Question(s):<ul><li>Are you 18 years or older?</li><li>How many hours a week are you able to dedicate to this internship?</li><li>What apps have you used to create content, including video content for social media?</li><li>Are you a student looking for student credit through this internship? If yes, what is required?</li><li>This is a remote internship with part time hours where you can receive great recommendations and experience. Are you still interested?</li><li>This is a 6 month minimum internship. Are you able to dedicate this time (please answer honestly)?</li><li>Do you know how to write effective social media content/captions with optimized hashtags?</li><li>What social media management platforms are you proficient in? </li></ul>What experience do you have scheduling and posting content?Experience:<ul><li>Content Creation: 3 years (Preferred)</li><li>CapCut: 1 year (Preferred)</li><li>AI Generation: 1 year (Preferred)</li><li>HeyGen AI Content Creation: 1 year (Preferred)</li><li>Canva: 2 years (Preferred)</li><li>Google Flow: 1 year (Preferred)</li></ul>Work Location: Hybrid remote in New York, NY 10040

Digital AI Content Creator & Social Media Manager Intern

Veho

<div><h3 class="jobSectionHeader">About Veho</h3><div></div> 
Veho&rsquo;s mission is to power the future of commerce by making shopping, shipping and returns seamless for everyone.<div> 
</div>We are building a modern, end-to-end logistics infrastructure designed entirely for the ever-evolving needs of ecommerce brands and everyday consumers. 
<div></div>Powered by next-generation technology and a vertically integrated supply chain, Veho gives brands and their customers unprecedented control over their deliveries and removes the pain from the ecommerce post-purchase experience. We make delivery the &lsquo;extension of the brand&rsquo; and leverage it to create deeper loyalty and trust between brands and their customers, driving customer retention and lifetime value. Our rapidly growing client list includes leading consumer brands like Hello Fresh, Zara, Macy&rsquo;s, Sephora, and more.<div></div> 
To truly build an iconic company, we strongly believe that our people and values must be aligned with our mission. As such, we take pride in our championship team, merit-based culture. We seek team players who want to compete, win, make an impact and build a legacy, and we reward performance and impact players with generous equity and incredible career growth opportunities.
<h3 class="jobSectionHeader">About The Role:</h3>
Veho&rsquo;s Data Science team is core to Veho&rsquo;s ability to deliver millions of packages by creating the systems that drive forecasting, network orchestration, pricing, and routing decisions. Being part of this team, the Machine Learning Operations team drives the foundation of these systems by being a partner to the data scientists to create well-designed, stable, and performant systems.
As the Technical Lead Manager, you&rsquo;ll own our Data Science platform and our 1-2 year roadmap for creating a sophisticated and stable platform that keeps up with Veho&rsquo;s rapid growth. You and your team embed into science projects so engineering quality is built in from day one, and create the templates to get new systems up and running quickly. You&rsquo;ll push our AI‑assisted development agenda and be a thought leader for the Veho data and engineering community on how to leverage AI in improving development velocity.
You will manage the Machine Learning Operations team and contribute significantly by writing code, reviewing designs, and setting the technical bar. You&rsquo;ll partner closely with our Agentic Developer Experience and Builder Experience teams.
A great candidate:<ul><li>
Is an expert in their craft, creating high quality ML infrastructure and delivering impactful machine learning models to our stakeholders.</li><li>
Works in close collaboration with the other Data Science team members and keeps the business value at the center of their work. Has a bias for action, balancing delivering impact in the short-term while building out the long term vision.</li><li>
Applies their ML / MLOPS knowledge to suggest new patterns, tools, approaches to improve the team&rsquo;s models</li><li>
Drives team velocity by helping the current team develop in their careers, hiring strong new talent onto the team, and adopting AI as a core part of development.</li></ul>
What you&rsquo;ll do:<ul><li>
Lead and grow a team of four engineers spanning ML infrastructure, ML operations, and embedded data science project work.</li><li>
Improve our internal ML platform: standardize and improve ML infrastructure, improve how DS services are created, deployed, and operated. Think service performance, permissioning, environment setup, and integration with upstream and downstream systems.</li><li>
Set the roadmap for improving our Machine Learning and Operations Research infrastructure.</li><li>
Embed engineers into major science initiatives (forecasting, network orchestration, pricing) so every project is technically sound and lessons learned find their way back into our platform.</li><li>
Drive AI usage across DS. Collaborate with our Agentic Developer Experience team to ensure new tooling has a high impact on the Data Science team&rsquo;s velocity. Set standards, introduce patterns, and drive adoption of how to leverage AI in data science workflows (EDA, model iteration, ML/OR methodologies)</li><li>
Be part of the on-call rotation for our data science production systems.</li></ul>
What You Bring:<ul><li>
Bachelor&rsquo;s Degree plus at least 6 years of experience in Machine Learning Engineering, or Master&rsquo;s Degree plus at least 4 years in Machine Learning Engineering:</li><li>
This experience should include:ML platform experience: training and serving infrastructure, feature stores, orchestration, monitoring, deployment pipelinesexperience managing impactful, high velocity ML Platform / ML Ops teams in smaller scale companiesexperience driving AI/agentic tooling adoption inside an organization</li><li>
hands‑on experience with open‑source tooling for large‑scale ML (e.g., Ray, Flink, Feast).</li><li>
strong knowledge of Cloud‑based data engineering and data science tools (AWS preferred) and Data Warehouses (Redshift, Databricks, Snowflake).</li><li>
Strong proficiency in Python.</li><li>
Interest in building systems in a Supply Chain setting, enabling a physical supply chain to run like clockwork.</li></ul>
Veho is a growth company that looks for team members to grow with it. No matter the location, or the role, every Veho teammate shares one galvanizing mission: driving commerce forward with a customer-centric delivery and returns experience that&rsquo;s built for the modern era. We are deeply value-driven (Team Up, Drive Impact, Take Ownership, Solve Bigger, Obsess Over Experience, Make Today Count) and care tremendously about investing in our high-performers.<div> 
</div>Join us in building the future of ecommerce logistics and in doing the work of our lifetime!<div></div> 
All California applicants please reference our California Applicant Privacy Notice located here.
Compensation Range: $199K - $241K</div>

Technical Lead Manager, MLOps

Explore 76+ Machine learning intern in New York this July. Find roles across top companies and apply now to boost your career.