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ai/ml research intern Jobs in San Francisco

ai/ml research intern

computer science intern

Tacit

<div>
 <strong>
  About Tacit
  <br/>
  <br/>
 </strong>
 We are an early-stage, deep tech startup based in San Francisco, developing innovative hardware that rethinks human-computer interaction. We are backed by General Catalyst, Khosla Ventures, and Greylock Partners, with a founding team from Stanford, BrainGate, Oculus, and Tesla. While we can&rsquo;t reveal too much just yet, our team is tackling cutting-edge engineering challenges to bring revolutionary products to life.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 As a
 <strong>
  data scientist intern
 </strong>
 , you be joining the ML / research team to develop new tools and techniques for data processing, data analysis, and improving our technology stack. You&rsquo;ll be responsible for designing, running and analyzing experiments using our system, interpreting results to inform future data collection and hardware design, and improving our decoding algorithms. This role will feature hands-on work with our basic signals coming off custom hardware all the way up to studying performance scaling across large numbers of people.
 <br/>
 <br/>
 <strong>
  What You'll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, implement, and test algorithms for data feature extraction from bio-signals for use in machine learning models.
  </li>
  <li>
   Rapid iteration on experiments for evaluating new hardware prototypes, data collection improvements, and to gain understanding of key aspects of our system.
  </li>
  <li>
   Develop analytical tools for visualization and establish data quality metrics.
  </li>
  <li>
   Work with hardware and electrical engineers to improve the overall sensing stack.
  </li>
  <li>
   Collaborate with ML team on data augmentation, multimodal training, synthetic data experiments for improved generalization
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Currently enrolled in (or recently graduated from) a PhD program in neuroscience, biomedical engineering, computer science, applied math, or related fields.
  </li>
  <li>
   Effective communication and writing skills.
  </li>
  <li>
   Ability to collaborate effectively across different teams and rapidly adapt to new fields.
  </li>
  <li>
   Fluency in Python (and PyTorch is a plus).
  </li>
  <li>
   Experience with dimensionality reduction techniques and time series data analysis.
  </li>
  <li>
   Independent work ethic, flexibility, and resourcefulness.
  </li>
  <li>
   Enjoy fast moving startup environment, excited to build independently.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Strong candidates may have
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Familiarity with real-time human-machine interaction, ranging from automatic speech recognition to closed-loop neural interfaces.
  </li>
  <li>
   Expertise with speech motor control, communication prostheses, and/or speech neuroscience.
  </li>
  <li>
   Prior experience with consumer wearable devices.
  </li>
  <li>
   Basic fundamentals in ML, ML infrastructure: experiment management tracking (e.g. Hydra, WandB) and AWS, Slurm.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Compensation Range
  <br/>
  <br/>
 </strong>
 Hourly determined based on your specific skills and experience
 <br/>
 <br/>
 <strong>
  Details
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Company size: 20-30 people
  </li>
  <li>
   Duration: 12 weeks (Start Summer/Fall)
  </li>
  <li>
   This position is full time, on-site in San Francisco
   <br/>
   <br/>
  </li>
 </ul>
</div>


Data Scientist Intern

Rocket Lawyer

<div><div><div><b>About Rocket Lawyer</b></div>
<div></div>
<div>We believe everyone deserves access to affordable and simple legal services. Founded in 2008, Rocket Lawyer is the largest and most widely used online legal service platform in the world. With offices in North America, South America, and Europe, Rocket Lawyer has helped over 30 million people create over 50 million legal documents, and get their legal questions answered.</div>
<div></div>
<div>We are in a unique position to enhance and expand the Rocket Lawyer platform to a scale never seen before in the company's history, to capture audiences worldwide. We are expanding our team to take on this challenge!</div></div><p><b>
About your role</b></p>
<p>
Rocket Lawyer is looking for a motivated and passionate AI/ML Software Engineering Intern to join our team working on Rocket Copilot, our AI assistant launched in December 2023. In this internship, you will collaborate with our cross-functional teams to assist in building a cutting edge AI platform. You'll have the opportunity to learn from experienced engineers while working on real-world AI/ML projects, helping design, implement, test, and maintain new AI features.</p>
<p>
We value a collaborative and supportive work environment, where we celebrate learning and growth. This is a great opportunity for someone eager to expand their skills and contribute to innovative AI solutions.</p>
<p><b>
Responsibilities</b></p>
<ul>
<li>Assist in prompting, evaluating, fine-tuning, and maintaining large language models (LLMs) for AI features</li>
<li>Support the creation, monitoring, and troubleshooting of backend API services that interact with ML models</li>
<li>Collaborate with cross-functional teams to integrate AI into existing and new Rocket Lawyer products</li>
<li>Research and stay up-to-date with industry trends around generative AI and machine learning</li>
<li>Prototype product features to explore new AI capabilities and write clean, understandable code</li>
</ul>
<p><b>What you'll need</b></p>
<ul>
<li>Currently pursuing a BS, MS, or PhD in Computer Science, Mathematics, Statistics, or a related field.</li>
<li>Basic understanding of machine learning concepts and algorithms.</li>
<li>Familiarity with generative AI technologies and models (Deep Learning, RAG, Neural Networks, Agents).</li>
<li>Interest or experience working with large language models (LLMs) and generative AI.</li>
<li>Strong programming skills in Python</li>
</ul><h3 class="jobSectionHeader"><b>A bonus if you have</b></h3>
<ul><li>Experience with backend Python frameworks like FastAPI, Flask, Django, etc.</li>
<li>Familiarity with vector databases.</li>
<li>Additional programming skills in languages such as Java, Kotlin, or NodeJS.</li>
<li>SQL knowledge.</li>
<li>Interest in building user-facing products.</li>
<li>Understanding of microservices architectures and distributed systems.</li>
</ul>
<p><b>Interview Process</b></p>
<ul>
<li>Recruiter Phone Screen</li>
<li>Hiring Manager Interview</li>
<li>Team Interview</li>
</ul><div><div><div><div><div><div><i>Rocket Lawyer is proudly committed to recruiting and retaining a diverse and inclusive workforce. As an Equal Opportunity Employer, we never discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, military or veteran status, status as an individual with a disability, or other applicable legally protected characteristics. We particularly welcome applications from veterans and military spouses.</i></div>
<div></div>
<div><i>All your information will be kept confidential according to EEO guidelines.
</i></div><div><i>You may request reasonable accommodations by sending an email to </i><i>hr@rocketlawyer.com</i><i>.</i></div>
<div></div>
<div><b>Location:</b> Remote, but you must be located in CA, AZ, CO, NC, or UT during the internship.<br>
<b>Duration:</b> June 8, 2026 - August 14, 2026, working 40 hours per week</div>
<div></div>
<div><div><b>Compensation per hour by location:</b></div>
<ul><li>San Francisco Bay Area, CA: $50.00</li>
<li>California (outside of San Francisco Bay Area): $46.25</li>
<li>Colorado: $42.50</li>
<li>Utah, Arizona, and North Carolina: $40.00</li></ul><br>
</div>
</div></div></div></div></div><div></div><div><p>By applying for this position, your data will be processed as per Rocket Lawyer Privacy Policy.</p></div></div>

AI/ML Intern

Prolific Academic Ltd

<div><h2 class="jobSectionHeader"><b>Computer Sciences - Graduates - AI Training</b></h2>
<h4 class="jobSectionHeader"><b><i>About Prolific</i></b></h4>
<p>
Prolific is not just another player in the AI space &ndash; we are building the biggest pool of quality human data in the world.</p>
<p>
Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills.</p>
<h4 class="jobSectionHeader"><b><i>
The role</i></b></h4>
<p>
We're looking for <b>Computer Science Specialists</b> to join our Expert Network to help train and evaluate cutting-edge AI models. If you have a background in CS research or technical analysis, we'll send you a quick 10- to 15-minute test to assess your skills. If successful, you'll be invited to join Prolific as a participant, where you'll get paid to help AI understand and summarize complex scientific data.</p>
<p>
Researchers looking for your skills tend to pay up to <b>$60/hr, depending on skills and experience level</b>. You must be prepared to complete paid tasks that <b>require one hour of uninterrupted work</b>, though many are shorter.</p>
<h4 class="jobSectionHeader"><b><i>
What you'll bring</i></b></h4>
<ul><li><b>Educational Background:</b> at minimum, a <b>BSc (Bachelor of Science) in Computer Science</b> or a closely related technical field.</li>
<li><b>Technical Literacy:</b> ability to interpret research papers, understand complex algorithms, and review code logic.</li>
<li><b>Analytical Mindset:</b> high level of cognitive competency with a sharp eye for technical hallucinations or logical flaws.</li>
<li><b>Professional Verification:</b> a valid LinkedIn profile to verify your degree and background during the screening process.</li>
<li><b>A PayPal account to receive payment from our clients</b></li>
</ul><h4 class="jobSectionHeader"><b><i>What you'll be doing in the role</i></b></h4>
<ul><li><b>AI Evaluation &amp; Ranking:</b> comparing multiple AI-generated responses to technical prompts and ranking them based on accuracy, logic, and safety.</li>
<li><b>Scientific Review:</b> reviewing CS research papers alongside AI-generated summaries and graphical abstracts to ensure scientific integrity.</li>
<li><b>Fact-Checking:</b> identifying inaccuracies where the AI has misinterpreted technical data, formulas, or research findings.</li>
<li><b>RLHF (Reinforcement Learning from Human Feedback):</b> providing the human &quot;ground truth&quot; to help models align with professional standards in software engineering and data science.</li>
<li><b>Code &amp; Logic Verification:</b> auditing AI-generated code snippets or architectural diagrams for structural and functional correctness.</li>
</ul><h4 class="jobSectionHeader"><b><i>Key Technologies</i></b></h4>
<ul><li><b>Generative AI &amp; LLMs:</b> training the next generation of technical and reasoning models.</li>
<li><b>Technical Documentation:</b> working with research papers, code repositories, and data visualizations.</li>
<li><b>Verification Frameworks:</b> using structured evaluation rubrics to audit AI performance.</li>
</ul><h4 class="jobSectionHeader"><b><i>Why Prolific is a great platform to join as a Participant</i></b></h4>
<p>
Joining our Expert Network will give you the chance to influence the AI models of the future using professional legal expertise. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home.</p>
<p>
We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.</p>
<div>
We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation &ndash; one that reflects the breadth and the best of humanity.</div>
<h4 class="jobSectionHeader"><b><i>Links to more information on Prolific</i></b></h4>
<p>
Website</p>
<p>
Youtube</p>
<h4 class="jobSectionHeader"><b><i>
Privacy Statement</i></b></h4>
<p>
By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal personal information.</p></div><p></p>

Computer Sciences - Graduates - AI Training - San Francisco, US

GoodRx

<div>
 GoodRx is America&rsquo;s healthcare marketplace. Each month, millions of people visit goodrx.com to find reliable health information and discounts for their healthcare &mdash; and we&rsquo;ve helped people save $60 billion since 2011. We provide prescription discounts that are accepted at more than 70,000 pharmacies in the U.S., as well as telehealth services including doctor visits and lab tests. Our services have been positively reviewed by Good Morning America, The New York Times, NBC News, AARP, and many others.
 <br/>
 <br/>
 Our goal is to help Americans find convenient and affordable healthcare. We offer solutions for consumers, employers, health plans, and anyone else who shares our desire to provide affordable prescriptions to all Americans.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Collaborate with product managers, data scientists, data analysts and engineers to define requirements and data specifications.
  </li>
  <li>
   Develop, deploy and maintain data processing pipelines using cloud technology such as AWS, Kubernetes, Airflow, Redshift, EMR.
  </li>
  <li>
   Develop, deploy and maintain serverless data pipelines using Event Bridge, Kinesis, AWS Lambda, S3 and Glue.
  </li>
  <li>
   Define and manage overall schedule and availability for a variety of data sets.
  </li>
  <li>
   Work closely with other engineers to enhance infrastructure, improve reliability and efficiency.
  </li>
  <li>
   Make smart engineering and product decisions based on data analysis and collaboration.
  </li>
  <li>
   Act as in-house data expert and make recommendations regarding standards for code quality and timeliness.
  </li>
  <li>
   Architect cloud-based data infrastructure solutions to meet stakeholder needs.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Skills &amp; Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree in analytics, statistics, engineering, math, economics, science or related discipline.
  </li>
  <li>
   Experience in any one of the Cloud data spaces such as AWS, Azure or GCP.
  </li>
  <li>
   Experience in engineering data pipelines using big data technologies (Python, pySpark, Real-time data platform like Active MQ or Kafka or Kinesis) on large scale data sets.
  </li>
  <li>
   Experience writing complex SQL and ETL development with experience processing extremely large data sets.
  </li>
  <li>
   Demonstrated ability to analyze large data sets to identify gaps and inconsistencies, provide data insights, and advance effective product solutions.
  </li>
  <li>
   Familiarity with AWS Services (S3, Event Bridge, Glue, EMR, Redshift, Lambda).
  </li>
  <li>
   Ability to quickly learn complex domains and new technologies.
  </li>
  <li>
   Innately curious and organized with the drive to analyze data to identify deliverables, anomalies and gaps and propose solutions to address these findings.
  </li>
  <li>
   Experience using Jira, GitHub, Docker, CodeFresh, Terraform.
  </li>
  <li>
   Experience contributing to full lifecycle deployments with a focus on testing and quality.
  </li>
  <li>
   Experience with data quality processes, data quality checks, validations, data quality metrics definition and measurement.
   <br/>
   <br/>
  </li>
 </ul>
 We&rsquo;re committed to growing and empowering a more inclusive community within our company and industry. That&rsquo;s why we hire and cultivate diverse teams of the best and brightest from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has a seat at the table and the tools, resources, and opportunities to excel.
 <br/>
 <br/>
 With that said, research shows that women and other underrepresented groups apply only if they meet 100% of the criteria. GoodRx is committed to leveling the playing field, and we encourage women, people of color, those in the LGBTQ+ communities, and Veterans to apply for positions even if they don&rsquo;t necessarily check every box outlined in the job description. Please still get in touch - we&rsquo;d love to connect and see if you could be good for the role!
 <br/>
 <br/>
 GoodRx is America's healthcare marketplace. The company offers the most comprehensive and accurate resource for affordable prescription medications in the U.S., gathering pricing information from thousands of pharmacies coast to coast, as well as a telehealth marketplace for online doctor visits and lab tests. Since 2011, Americans with and without health insurance have saved $60 billion using GoodRx and million consumers visit goodrx.com each month to find discounts and information related to their healthcare. GoodRx is the #1 most downloaded medical app on the iOS and Android app stores. For more information, visit www.goodrx.com.
 <br/>
 <br/>
 We prioritize candidate safety. Please be aware that all official communication will only be sent from
 <strong>
  @
 </strong>
 <strong>
  goodrx.com
 </strong>
 or
 <strong>
  goodrx@myworkday.com
 </strong>
 addresses.
</div>


Data Engineer Intern

Ludo Robotics

<div>
 <strong>
  The Company
  <br/>
  <br/>
 </strong>
 LUDO ROBOTICS is dedicated to building general-purpose robotic intelligence systems that are robust, adaptive, and capable of handling real-world scenarios. We believe that data-driven machine learning at massive scale is the key to unlocking these capabilities and enabling the widespread deployment of robots across society.
 <br/>
 <br/>
 We are a new startup headquartered in Bay Area, California, with an office in Seoul, Korea. Our team spans a wide range of backgrounds and experience, from new graduates to seasoned domain experts. What matters most to us is ownership, speed, and intellectual curiosity - people who take responsibility, move fast, and enjoy thinking deeply about hard problems.
 <br/>
 <br/>
 We are supported by a highly advanced AI Center within KRAFTON, a leading global video game company best known for the genre-defining worldwide success PUBG: Battlegrounds. KRAFTON has extensive experience building and operating large-scale, data-rich products, and we have secured investment from them. This gives us strong long-term backing, deep technical partnership opportunities, and access to world-class infrastructure and talent networks as we push robotic intelligence forward.
 <br/>
 <br/>
 We are looking for passionate builders who want to explore uncharted territory, take on difficult problems, and ship ambitious, industry-shaping work. You will collaborate across diverse teams as we bring our technology from research into real-world deployment.
 <br/>
 <br/>
 <strong>
  THE OPPORTUNITY
  <br/>
  <br/>
 </strong>
 We're looking for passionate and driven AI/ML Research Interns to join our team for a 8-10-week program at the forefront of physical AI and embodied intelligence. You'll work on meaningful, research-driven projects at the intersection of machine learning, world modeling, and robotics &mdash; with real deliverables and the opportunity to make a genuine impact. All interns will start on or around June 22, 2026.
 <br/>
 <br/>
 By the end of the program, you'll be expected to produce:
 <br/>
 <br/>
 <ul>
  <li>
   A working prototype or experimental system (e.g., a learned world model, simulation environment, or control pipeline)
  </li>
  <li>
   A technical write-up and presentation covering your approach, methodology, and results
  </li>
  <li>
   A demonstration of how your system contributes to modeling, prediction, or control in a physical AI context
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 Project focus areas will be tailored to your skills and interests, and may include:
 <br/>
 <br/>
 <ul>
  <li>
   Developing and training world models that capture human behavior, social interaction dynamics, and physical environments
  </li>
  <li>
   Building and refining simulation environments and digital twins for robot&ndash;human interaction, enabling scalable training and evaluation
  </li>
  <li>
   Designing and integrating robot learning algorithms (e.g., reinforcement learning, imitation learning, generative modeling) that leverage world models for prediction and planning
  </li>
  <li>
   Exploring closed-loop systems where perception, prediction, and control are tightly coupled in real-time robotic settings
  </li>
  <li>
   Prototyping systems that combine digital human technologies with physical AI to enable realistic interaction, adaptation, and personalization
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong foundation in AI/ML, including deep learning, reinforcement learning, and/or generative models
  </li>
  <li>
   Genuine interest in embodied intelligence, robotics, and world modeling
  </li>
  <li>
   Proficiency in Python and modern ML frameworks (e.g., PyTorch)
  </li>
  <li>
   Ability to work independently in a fast-paced, research-oriented environment
  </li>
  <li>
   Ability to translate human behavioral and perceptual insights into socially intelligent system design
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Educational Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Master's or PhD students are preferred. Exceptional undergraduates with strong AI/ML experience and a demonstrated interest in robotics and physical AI will also be considered.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Reasonable Accommodation
  <br/>
  <br/>
 </strong>
 LUDO ROBOTICS is committed to the full inclusion of all qualified individuals. As part of this commitment, the Company will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to apply for an open position, perform essential job functions, and/or to receive other benefits and privileges of employment, please contact the Operations Team, to begin the interactive process.
 <br/>
 <br/>
 <strong>
  EEOC Statement
  <br/>
  <br/>
 </strong>
 LUDO ROBOTICS provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type.
 <br/>
 <br/>
 This position may be filled at multiple levels depending on experience, scope, and business need. In California, the expected salary range for this position is $50- $70/hr. The listed expected salary ranges represent good faith estimates. Actual compensation may vary based on job-related factors including experience, education, skills, performance, and work location.
 <br/>
 <br/>
 <strong>
  Don&rsquo;t meet every single requirement?
  <br/>
  <br/>
 </strong>
 Studies have shown that women and people of color are less likely to apply at jobs unless they meet every single qualification. At LUDO ROBOTICS we are dedicated to building a diverse, inclusive, and authentic workplace, so if you&rsquo;re excited about this role but your past experience doesn&rsquo;t align perfectly with every qualification in the job description, we encourage you to apply anyway. You might just be the right candidate for this or other roles.
 <br/>
 <br/>
 <strong>
  Due to recent scams, our recruiters will only reach out to you via @ludorobotics.ai, @sds.com, @krafton.com or @pubg.com. If you received an email and are unsure you can always email recruiting_KA@Krafton.com
 </strong>
</div>


AI/ML Research Intern

Ballast

<div>
 <strong>
  Title: Investments Intern
  <br/>
  <br/>
 </strong>
 <strong>
  Reports to: Director, Asset Management
  <br/>
  <br/>
 </strong>
 <strong>
  Primary Function: Financial Analysis, Acquisitions and Asset Management
  <br/>
  <br/>
 </strong>
 <strong>
  Status: Full-Time, Non-Exempt
  <br/>
  <br/>
 </strong>
 <strong>
  Location: San Francisco, CA
  <br/>
  <br/>
 </strong>
 <strong>
  Summary
  <br/>
  <br/>
 </strong>
 Ballast Investments (&ldquo;Ballast&rdquo; or &ldquo;The Company&rdquo;) is seeking an Investment Intern to support our rapidly growing team. Under the general supervision of the Investments Team, the Intern will assist with underwriting new acquisition opportunities, running scenarios on recapitalizations, and other investment activities such as: modeling, financing, due diligence, and site tours. This position requires strong quantitative acumen and communication skills.
 <br/>
 <br/>
 The Company is a vertically integrated owner-operator of multifamily, student housing, and single family rental assets in the greater Western United States. The Company has several strategic partnerships with global institutional capital providers and has experienced strong growth since its founding in 2014.
 <br/>
 <br/>
 Ballast employs over 250+ real estate professionals whose mission is to create value by acquiring, developing, and managing our dwellings with exceptional care through an integrated approach. Our culture is founded on teamwork, authenticity, integrity and excellence. Through a shared purpose and common goal, the organization is built to serve its partners and communities within which it invests.
 <br/>
 <br/>
 <strong>
  Primary Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Investment Analysis: Assist in conducting market research, financial analysis, and due diligence on potential real estate investment opportunities. This includes analyzing property financial statements, conducting property inspections, and assessing market trends to support investment decision-making
  </li>
  <li>
   Financial Modeling: Collaborate with the team to update financial models for potential real estate acquisitions, developments, and repositioning projects. Help evaluate investment returns, cash flow projections, and perform sensitivity analyses to assess risk and profitability
  </li>
  <li>
   Investment Presentations: Contribute to the preparation of investment presentations, including investment memorandums, pitch decks, and other supporting materials for internal and external stakeholders. Help communicate investment strategies and key findings effectively
  </li>
  <li>
   Portfolio Management: Assist in monitoring and tracking the performance of existing real estate investments. Help prepare periodic reports and presentations on portfolio performance, property valuations, and market conditions to support decision-making processes
  </li>
  <li>
   Market Research: Stay updated on industry trends, market dynamics, and emerging investment opportunities in the real estate sector. Conduct research on specific geographic areas, property types, and market segments to identify potential investment targets
  </li>
  <li>
   Collaboration and Support: Collaborate effectively with cross-functional teams, including asset management, legal, and finance departments. Provide general support to the investment team, such as data entry, document organization, and administrative tasks, as needed
  </li>
  <li>
   End of Summer Intern Program Presentation Required &ndash; further details to follow from manager
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Minimum Requirements And Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Advanced knowledge of Excel, Argus, and PowerPoint
  </li>
  <li>
   Strong analytical skills and exceptional written and oral communications skills
  </li>
  <li>
   Familiarity with real estate software and databases (e.g., CoStar) is a plus
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Key Skills And Competencies
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Project management skills and creativity are critical for success in this role
  </li>
  <li>
   Critical thinker that can contribute collaboratively and brainstorm toward a positive outcome
  </li>
  <li>
   Able to succeed in a fast-paced environment and manage multiple projects with competing priorities
  </li>
  <li>
   Drive and passion for low and medium-density scattered-site residential investing
  </li>
  <li>
   Excellent written and verbal communication skills, with the ability to articulate complex concepts clearly and concisely
  </li>
  <li>
   Detail-oriented with strong organizational and time management skills, capable of managing multiple tasks and meeting deadlines
  </li>
  <li>
   Self-motivated and proactive, with a strong desire to learn and contribute to a dynamic team environment
   <br/>
   <br/>
  </li>
 </ul>
 Ballast Investments is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment and we prohibit discrimination and harassment of any type based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Ballast Investments is also committed to compliance with all fair employment practices regarding citizenship and immigration status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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Investments Intern

Alpha Search Advisors

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  Our Software Engineers are responsible for building the systems that power every aspect of their investment process, from research and analysis to trading, risk management, funding and settlement. Working side by side with investors and quantitative researchers, they use their technical skills to drive critical commercial outcomes. If you&rsquo;re interested in financial markets and excited by the prospect of having real impact in a fast-paced environment where everyone is inspired to be their best, they are excited to meet you.
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  Our client&rsquo;s most successful engineers are critical thinkers who know how to dissect the problem as proficiently as they know how to build the solution. While we look for technical acumen, commercial acumen is just as important. That includes the ability to flex, change course, and iterate without always having pre-defined specs.
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  <strong>
   YOUR OPPORTUNITY:
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  From engineers who create next-gen platforms to desk-aligned developers who partner with investment teams to increase efficiency and maximize returns, engineering opportunities are as varied as they are challenging.
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  <strong>
   YOUR SKILLS &amp; TALENTS:
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  &bull; 3+ years of professional software engineering experience
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  &bull; Solid computer science fundamentals
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  &bull; Expert level programing skills in at least one of the following: Java, C++, Python
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  &bull; Proven track record in software design and development
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  &bull; Excellent analysis / problem solving skills
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  &bull; Strong communication and teamwork skills
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  &bull; Ability to manage multiple tasks in a demanding and dynamic environment
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  &bull; Minimum of a Bachelor&rsquo;s degree in Computer Science or a related STEM discipline
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  <strong>
   LOCATION:
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  New York, US
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Software Engineer

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