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Rocket Lawyer

<div><div><div>About Rocket Lawyer</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>
About your role

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.

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.

Responsibilities
<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>
What you'll need
<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">A bonus if you have</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>
Interview Process
<ul>
<li>Recruiter Phone Screen</li>
<li>Hiring Manager Interview</li>
<li>Team Interview</li>
</ul><div><div><div><div><div><div>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.</div>
<div></div>
<div>All your information will be kept confidential according to EEO guidelines.
</div><div>You may request reasonable accommodations by sending an email to hr@rocketlawyer.com.</div>
<div></div>
<div>Location: Remote, but you must be located in CA, AZ, CO, NC, or UT during the internship. 
Duration: June 8, 2026 - August 14, 2026, working 40 hours per week</div>
<div></div>
<div><div>Compensation per hour by location:</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> 
</div>
</div></div></div></div></div><div></div><div>By applying for this position, your data will be processed as per Rocket Lawyer Privacy Policy.</div></div>

AI/ML Intern

Ludo Robotics

<div>
 
 The Company
 
 
 
 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.
 
 
 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.
 
 
 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.
 
 
 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.
 
 
 
 THE OPPORTUNITY
 
 
 
 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.
 
 
 By the end of the program, you'll be expected to produce:
 
 
 <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
 
 
 </li>
 </ul>
 
 Responsibilities
 
 
 
 Project focus areas will be tailored to your skills and interests, and may include:
 
 
 <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
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <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
 
 
 </li>
 </ul>
 
 Educational Requirements
 
 
 
 <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.
 
 
 </li>
 </ul>
 
 Reasonable Accommodation
 
 
 
 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.
 
 
 
 EEOC Statement
 
 
 
 LUDO ROBOTICS provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type.
 
 
 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.
 
 
 
 Don&rsquo;t meet every single requirement?
 
 
 
 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.
 
 
 
 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
 
</div>

AI/ML Research Intern

Verse

<div>
 
 Location:
 
 San Francisco, CA (Hybrid)
 
 
 
 What is Verse?
 
 
 
 Energy markets are more volatile than ever. Rapid electrification and the rise of AI are driving unprecedented demand for power, while energy costs continue to rise across the globe. For the world&rsquo;s largest energy buyers, managing energy has never been more complex or more critical.
 
 
 Verse helps these organizations manage complex power portfolios with confidence by unifying energy data, planning, forecasting, and operations in one tool. Our Energy Cost Intelligence platform, Aria, brings together energy, finance, and operations teams with real-time, finance-ready intelligence&mdash;replacing spreadsheets and consultants with precision across the entire energy lifecycle. Built by an expert team of energy buyers, data scientists, and engineers, Verse enables faster, smarter energy decisions that reduce risk and lower energy costs.
 
 
 
 The Role
 
 
 
 Verse is seeking a Data Scientist to join our Data Science Team. In this role, you will lead the development and deployment of advanced data-driven solutions across a range of applications, including electricity markets, renewable procurement, and energy risk management. You will shape the machine learning and data modeling foundations that Verse's software is built on. For example, you might spend a cycle deploying electricity market price forecasting pipelines for new regions, developing solar production anomaly detection models, or creating scalable tools for benchmarking energy project financial performance.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 
 Lead End-to-End Data Science Projects:
 
 Own and drive projects from problem definition through scoping, modeling, validation, and production deployment. Translate business problems into scalable, high-impact modeling solutions.
 </li>
 <li>
 
 Statistical &amp; Machine Learning Modeling:
 
 Design, develop, and refine statistical and machine learning models (e.g., time series forecasting, probabilistic models) to support decision-making and enhance product capabilities.
 </li>
 <li>
 
 Analytics Engineering &amp; Data Modeling:
 
 Perform complex data transformations and develop well-structured data models. Translate business and analytical requirements into scalable, tested, and well-documented datasets.
 </li>
 <li>
 
 Software Development &amp; Productionization:
 
 Write clean, efficient, and maintainable Python code. Contribute to integrating models into production systems in a cloud-based environment while leveraging AI coding tools to accelerate development.
 </li>
 <li>
 
 MLOps:
 
 Contribute to Verse&rsquo;s machine learning modeling infrastructure to support scaling of ML models and improving reliability, monitoring, and performance in production.
 </li>
 <li>
 
 Cross-Functional Collaboration:
 
 Partner with product, engineering, and business stakeholders to ensure models and insights are aligned with user needs and effectively integrated into workflows.
 
 
 </li>
 </ul>
 
 What We're Looking For (Minimum Qualifications)
 
 
 
 <ul>
 <li>
 Master&rsquo;s degree in Computer Science, Statistics, Engineering, Applied Mathematics, or a related quantitative field and 2+ years of professional experience in data science or machine learning; or
 </li>
 <li>
 Bachelor&rsquo;s degree and 4+ years of professional experience in data science or machine learning
 </li>
 <li>
 Strong foundation in statistical modeling and machine learning, including time series forecasting and model evaluation
 </li>
 <li>
 Experience deploying and maintaining models in cloud-based environments (e.g., AWS, GCP, or Azure) using MLOps practices
 </li>
 <li>
 Strong Python expertise, including experience with scientific computing and ML libraries (e.g., NumPy, pandas, scikit-learn, PyTorch, TensorFlow)
 </li>
 <li>
 Hands-on experience in orchestrating complex data transformations (e.g. Airflow, Dagster, dbt)
 </li>
 <li>
 Strong software engineering practices (version control, testing, code reviews, CI/CD)
 </li>
 <li>
 Strong communication skills, with the ability to explain technical concepts to non-technical stakeholders
 
 
 </li>
 </ul>
 
 What Will Make You Standout (Preferred Qualifications)
 
 
 
 <ul>
 <li>
 Experience in energy, climate tech, or related domains (not required)
 </li>
 <li>
 Familiarity with optimization methods or operations research
 </li>
 <li>
 Experience developing probabilistic forecasting models and quantifying uncertainty
 </li>
 <li>
 PhD in a quantitative field
 
 
 </li>
 </ul>
 
 What Makes Verse a Great Place to Work?
 
 
 
 <ul>
 <li>
 
 Lead with Empathy:
 
 We lift each other up with humility and kindness, always putting colleagues and customers first
 </li>
 <li>
 
 Be Honest &amp; Transparent:
 
 We prioritize effective communication to build trust with our team, customers, and stakeholders
 </li>
 <li>
 
 Move with Balance &amp; Precision:
 
 We believe speed and perseverance must be accompanied by thoughtfulness and reflection
 </li>
 <li>
 
 Leave the World a Better Place:
 
 We are passionate about our mission, and we strive to create a sustainable world for future generations
 
 
 </li>
 </ul>
 
 Base Pay Range
 
 
 
 $146,000 - $172,000
 
 
 
 This is the estimated base salary range for this position, which does not include the value of benefits or a potential equity grant. A wide range of factors are considered in making compensation decisions, including but not limited to skill sets, market conditions, experience and training, licensure and certifications, and business and organizational needs.
 
 
 
 
 Benefits and Employee Perks
 
 
 
 <ul>
 <li>
 Competitive compensation and equity grant at a high-growth start up
 </li>
 <li>
 Comprehensive benefits package including medical, dental and vision insurance, and 401k
 </li>
 <li>
 Flexible hours and unlimited PTO
 </li>
 <li>
 Diverse and inclusive working environment
 
 
 </li>
 </ul>
 Verse is an equal opportunity employer. All applicants and employees are considered for hire, promotion, and compensation without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, marital or familial status.
</div>

Data Scientist

Google

<div>
 Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.
 
 
 Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
 
 San Francisco, CA, USA; Reston, VA, USA
 
 .
 
 Minimum qualifications:
 
 
 
 <ul>
 <li>
 Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
 </li>
 <li>
 3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.
 
 
 </li>
 </ul>
 
 Preferred qualifications:
 
 
 
 <ul>
 <li>
 3 years of experience developing and deploying machine learning and AI models in production settings.
 </li>
 <li>
 Experience at the intersection of security or fraud and ML.
 </li>
 <li>
 Experience applying a variety of unsupervised, semi-supervised, and supervised machine learning techniques, and the ability to turn big data into actionable intelligence.
 </li>
 <li>
 Experience building LLM-powered applications to automate the analysis and contextualization of complex data.
 </li>
 <li>
 Experience with the challenges in applying machine learning in a non-stationary and adversarial environment.
 </li>
 <li>
 Ability to evaluate, analyze, and improve machine learning models and LLM-driven systems.
 
 
 </li>
 </ul>
 
 About The Job
 
 
 
 The Google Cloud Gusto AI Data Science Research team develops innovative, data-driven solutions to today&rsquo;s most challenging cybersecurity problems. By leveraging data derived from Google's unparalleled view of the threat landscape, our cross-functional, applied research team experiments and delivers impactful findings for both our customers and the broader cybersecurity industry.
 
 
 We are looking for a Research Data Scientist to help us solve challenging cybersecurity problems and protect billions of customers by applying their expert knowledge of machine learning, statistics, and Generative AI. In this role, you will partner with subject matter experts on the front lines defending against advanced threat actors, iteratively develop new capabilities, and work closely with our engineering team to deploy and maintain them. Our team works on a wide variety of cybersecurity challenges including agentic security operations, threat intelligence contextualization, security-tuning LLMs, dark web threat detection, and more. We encourage sharing impactful learnings through publications at academic conferences and talks at industry venues.
 
 
 The US base salary range for this full-time position is $147,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
 
 
 Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Explore promising areas of future research at the intersection of cybersecurity and machine learning.
 </li>
 <li>
 Drive the research and development of new models and analytic products to solve cybersecurity problems.
 </li>
 <li>
 Develop models and analytics. Move from proof of concept to minimum viable product quickly and efficiently.
 </li>
 <li>
 Work closely with other engineering teams to develop scalable data pipelines, deploy models/analytics, and enact telemetry-driven model improvements over time.
 </li>
 <li>
 Communicate research results to stakeholders and the research community through documentation, white papers, peer-reviewed publications, and presentations.
 
 
 
 </li>
 </ul>
 Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
</div>

Research Data Scientist, Cybersecurity, Google Cloud

Andiamo

<div>
 Senior Technical Recruiter
 
 
 
 About Us
 
 
 
 We are building the infrastructure layer for modern AI. Our cloud platform enables companies to train, deploy, and run large scale AI models faster, more efficiently, and at massive scale.
 
 
 With more than $200M in funding and rapid customer adoption, we are helping define the next generation of AI infrastructure. Our platform powers teams building advanced machine learning systems across industries ranging from autonomous systems to enterprise software.
 
 
 We are growing quickly and assembling a world class team of engineers, researchers, and builders who are passionate about pushing technology forward.
 
 
 
 About The Role
 
 
 
 We are looking for an exceptional Senior Technical Recruiter to help build the teams powering our next phase of growth.
 
 
 You will own full cycle recruiting for highly technical roles across engineering, infrastructure, and machine learning. You will partner closely with hiring managers and engineering leadership while driving sourcing strategies that consistently attract elite technical talent.
 
 
 This role requires someone who thrives in competitive markets, builds strong relationships with passive candidates, and takes pride in delivering exceptional candidate experiences.
 
 
 What You Will Do
 
 
 <ul>
 <li>
 Own full cycle recruiting for technical roles including distributed systems engineering, machine learning infrastructure, platform engineering, and related disciplines.
 </li>
 <li>
 Develop and execute sourcing strategies to engage highly sought after technical candidates through outbound sourcing, research, referrals, and network development.
 </li>
 <li>
 Partner closely with engineering leaders and hiring managers to deeply understand team needs and role requirements.
 </li>
 <li>
 Screen and evaluate candidates while maintaining a high technical bar and strong candidate experience.
 </li>
 <li>
 Manage and nurture relationships with senior level and passive candidates across the AI and infrastructure ecosystem.
 </li>
 <li>
 Drive efficient hiring processes from initial outreach through offer negotiation and closing.
 </li>
 <li>
 Help refine and improve recruiting processes as the company continues to scale.
 
 
 </li>
 </ul>
 What Makes You Successful In This Role
 
 
 <ul>
 <li>
 5 or more years of full cycle recruiting experience with a strong focus on technical hiring.
 </li>
 <li>
 Experience recruiting engineers in areas such as distributed systems, infrastructure, machine learning, or AI platforms.
 </li>
 <li>
 Track record of sourcing and closing highly competitive technical candidates.
 </li>
 <li>
 Ability to understand complex technical roles and communicate credibly with engineering leaders.
 </li>
 <li>
 Strong relationship builder who develops trust with candidates and hiring managers.
 </li>
 <li>
 Highly organized with strong prioritization and execution skills in fast moving environments.
 
 
 </li>
 </ul>
 
 Compensation &amp; Benefits
 
 
 
 We offer competitive compensation including base salary and equity. Benefits include health coverage, flexible vacation, retirement plans, and additional perks that support employee wellbeing and growth.
 
 
 
 About Andiamo
 
 
 
 Talent Partners for the AI Revolution. As a globally recognized staffing and consulting firm, we specialize in placing the top 2% of technology and go-to-market professionals with the world&rsquo;s largest and most well-known companies.
 
 
 For over 20 years, we've maintained the status of tier-one vendor for firms such as Palantir, Amazon, Fluidstack, Bloomberg, Relativity Space, Firefly, MasterCard, Visa, Two Sigma, Citadel, as well as other major financial services firms, elite hedge funds, Google-backed tech start-ups, and major software firms.
 
 
 Our talent solutions include Permanent Placement, Contract Staffing, Executive Search, and Dedicated Recruiting Services (RPO). Find out more at www.andiamogo.com
</div>

Senior Talent Acquisition Specialist

Genentech

<div><div><div>THE POSITION</div>
We advance science so that we all have more time with the people we love.
The Department of Cell and Tissue Genomics (CTG) is focused on developing and applying state of the art genomics technologies (e.g. single cell omics, high-content imaging, perturbations, etc) to solve key challenges in disease biology, target discovery, and translational medicine. We are seeking a highly talented, creative, and motivated computational biologist to analyze cutting-edge high-dimensional profiling and screening data, with a particular focus on high-content imaging, to decipher complex cellular circuits. The candidate will collaborate closely with members of the department to extract biological insights from diverse high dimensional data sets and support the development of new technologies, leveraging existing computational workflows and developing novel ones.
The Opportunity:
As an integral member of our dynamic team, you will be:<ul><li>
Analyzing high-content imaging data from novel technologies including optical pooled screens, spatial transcriptomics, and high-content perturbation screens, with the goal of extracting mechanistic insights into gene function and cellular phenotypes.</li><li>
Developing methods to analyze and interpret new types of perturbation data.</li><li>
Applying statistics and machine learning to investigate data and extract biological insights.</li><li>
Collaborating across diverse, cross-functional teams including experimentalists in CTG and the therapeutic areas and colleagues in the Computational Sciences Center of Excellence and the AI Biology &amp; Translation departments</li></ul>
Who You Are:<ul><li>
PhD in Computational Biology, Bioinformatics, Computer Science, or a related quantitative field. Alternatively, a PhD in molecular biology, immunology, bioengineering, etc. combined with a very strong record of data analysis, supported by publication in this area. Postdoctoral training is a plus.</li><li>
Strong publication record of biological discovery and/or methods development.</li><li>
Deep expertise in image analysis, including image processing, feature extraction, and morphological profiling. Familiarity with modern deep learning approaches (e.g., embeddings, foundation models) is a plus.</li><li>
Comfortable with the statistical principles behind current best practices in high-throughput data analysis.</li><li>
Fluent in Python and/or R.</li><li>
Excellent communication and presentation skills.</li><li>
Able to work successfully in cross-functional teams to collaboratively solve complex problems.</li><li>
Passionate about applying your analytical skills to understand health and disease.</li></ul>
Preferred Experience:<ul><li>
Experience with in situ data (FISH or ISS barcode calling).</li><li>
Familiarity with image analysis frameworks or libraries (e.g., CellProfiler).</li><li>
Experience with genomic data including single cell RNA-seq and perturbation screens is a plus.</li><li>
Experience with applying machine learning to high throughput datasets is a plus.</li></ul>
Relocation benefits are available for this posting.
The expected salary range for this position based on the primary location of California for Senior Scientist is $124,300- $230,900 and Principal Scientist is $143,200-$265,900. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.
Benefits
Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.</div>
<div><div>JOB FACTS
</div><div><div><ul><div>Job Sub Category
Research Informatics
</div><div>Schedule
Full time
</div><div>Job Type
Regular
</div><div>Posted Date
Apr 10th 2026
</div><div>Job ID
202604-108731</div></ul></div></div></div></div>

Computational Scientist 3 - Cell & Tissue Genomics

Apple

Do you have a passion for invention and self-challenge? Do you thrive on pushing the limits of what&rsquo;s considered feasible? As part of a world class modem team, you&rsquo;ll craft sophisticated leading-edge embedded firmware that deliver more performance in our products than ever before. You&rsquo;ll work across disciplines to transform improved hardware elements into a single, integrated design. 
 
Join us, and you&rsquo;ll help us innovate new wireless systems technologies that continually outperform the previous iterations. By collaborating with other product development groups across Apple, you&rsquo;ll push the industry boundaries of what wireless systems can do and improve the product experience for our customers across the world. Do you want to have an impact on every single Apple product? As a Cellular Data &amp; Automation Engineer, you will be at the center of the embedded 5G/4G/multimode cellular firmware effort within a silicon design group responsible for designing and productizing state-of-the-art cellular SoCs. 
 
Description 
 
As a Data &amp; Automation Engineer, you will be responsible for developing new features to enhance test automation system for improving test efficiency and stability. Furthermore, you will be participating in developing state-of-the-art data processing pipeline and leveraging data science algorithms &amp; machine learning models to parse massive data and logs in timely manner to automatically solve the issues or provide recommendations for the next step. In addition, you will be closely partnering with FW engineering teams in integrating and deploying models and data processing pipeline as part of entire automation system to deliver analysis results to benefit FW engineers in debugging issues. You will work with amazing team, brainstorm new ideas, and develop models and algorithms to solve complicated problems that have a substantial impact.&quot;,&quot;responsibilities&quot;:&quot;Develop new features to enhance the automation system based on the business&rsquo;s needs 
 
Develop and maintain real-time data processing pipelines to ensure processing accuracy and efficiency 
 
Collaborate closely with AI/ML engineers to integrate new AI pipelines and ML models into the production system and ensure achieving expected results and efficiency 
 
Integrate various internal tools and external tools into the existing automation system and/or data processing pipelines to enable new applications 
 
Provide technical support for users and help troubleshoot issues to unblock projects 
 
Preferred Qualifications 
 
Master&rsquo;s degree in data science or computer science or machine learning is preferred. 
 
Proficient in scripting or programming languages such as Python, Java, C/C++ with 5+ years of proven programming skills. 
 
Advanced SQL skills with the ability to write complex joins and nested queries. 
 
Proficiency in data visualization tools (such as Tableau, D3) and strong understanding of data manipulation and querying using SQL and Python together. 
 
Experience with dashboards and interactive reports. Ability to work with large datasets and conduct data cleaning and transformation. 
 
Experience with automation tools and frameworks, e.g. Jenkins, Gitlab CI/CD. 
 
Ability to leverage data science algorithms and machine-learning models to solve various kinds of issues. 
 
Experience in utilizing analytics and statistical methods to transform data into useful insights and actionable results. 
 
Ability to think creatively and identify, build, and support solutions and roadmaps focused on automation and reduction of manual processes. 
 
Strong critical thinking and communication skills with the ability and desire to learn and evaluate new technologies. 
 
Minimum Qualifications 
 
BS and a minimum of 3 years relevant industry experience. 
 
Proficient developer with 3+ years proven programming skills using Python, Pandas, Matplotlib and other key related tools. 
 
Solid knowledge and experience with relational database (e.g Postgres) and non-relational database (e.g.Mango DB). Ability to write complex queries with SQL is required. 
 
Experience with dashboards and interactive reports. Proficiency in data visualization tools (such as Tableau) and a strong understanding of data manipulation and querying using SQL and Python together. 
 
Ability to think creatively and identify, build, and support solutions and roadmaps focused on automation and reduction of manual processes. 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $139,500 and $258,100, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Cellular Data & Automation Engineer

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