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machine learning computer vision engineer

Parallel

<div>
 
 Parallel Systems is pioneering autonomous battery-electric rail vehicles designed to transform freight transportation by shifting portions of the $900 billion U.S. trucking industry onto rail. Our innovative technology offers cleaner, safer, and more efficient logistics solutions. Join our dynamic team and help shape a smarter, greener future for global freight.
 
 
 
 
 Machine Learning / Computer Vision Engineer
 
 
 &nbsp;
 
 
 Perception Systems
 
 
 &nbsp;
 
 
 
 
 Parallel Systems is building autonomous, battery-electric rail vehicles designed to transform freight transportation by shifting portions of the $900B trucking industry onto rail. Our vehicles&nbsp;operate&nbsp;on active rail networks and must perceive and reason&nbsp;about&nbsp;complex real-world environments with extremely high reliability.
 
 
 &nbsp;
 
 
 
 
 We are looking for an early-career Machine Learning / Computer Vision Engineer to help develop the perception systems that power our autonomous platform. You will work on real-world computer vision problems involving multi-sensor data, large-scale datasets, and real-time inference constraints.
 
 
 &nbsp;
 
 
 
 
 This role is ideal for engineers who have strong foundations in machine learning and computer vision and who have already built meaningful ML systems through research, internships, or early industry experience. You will work closely with experienced engineers across autonomy, robotics, and systems to design and deploy&nbsp;perception&nbsp;models that&nbsp;operate&nbsp;on real vehicles.
 
 
 &nbsp;
 
 
 
 
 
 What&nbsp;You&rsquo;ll&nbsp;Work On
 
 
 
 &nbsp;
 
 
 <ul>
 <li>
 
 Training and improving deep learning models for&nbsp;perception&nbsp;tasks including detection, segmentation, tracking, and scene understanding
 
 
 &nbsp;
 
 </li>
 <li>
 
 Developing scalable training pipelines for large&nbsp;perception&nbsp;datasets
 
 
 &nbsp;
 
 </li>
 <li>
 
 Working with multimodal sensor data including cameras, lidar, and radar
 
 
 &nbsp;
 
 </li>
 <li>
 
 Evaluating and adapting&nbsp;state-of-the-art&nbsp;research for real-world deployment
 
 
 &nbsp;
 
 </li>
 <li>
 
 Improving inference performance and model reliability under real-world conditions
 
 
 &nbsp;
 
 </li>
 <li>
 
 Supporting deployment of&nbsp;perception&nbsp;models to edge compute systems on autonomous vehicles
 
 
 &nbsp;
 
 </li>
 </ul>
 
 
 
 What Success Looks Like
 
 
 
 &nbsp;
 
 
 <ul>
 <li>
 
 
 
 After 30 Days
 
 
 
 
 : You understand the fundamentals of Parallel&rsquo;s perception stack, datasets, and model training workflows.&nbsp;You are contributing to model training experiments and supporting improvements to the ML pipeline.
 
 
 &nbsp;
 
 </li>
 <li>
 
 
 
 After 60 Days:&nbsp;
 
 
 
 
 You are independently training and evaluating models for a defined&nbsp;perception&nbsp;task and contributing improvements to model performance or data workflows.
 
 
 &nbsp;
 
 </li>
 <li>
 
 
 
 After 90 Days:&nbsp;
 
 
 
 
 You have contributed a measurable improvement to an existing&nbsp;perception&nbsp;model or training pipeline and are actively supporting deployment and testing efforts.
 
 
 &nbsp;
 
 </li>
 </ul>
 
 
 
 Basic Qualifications
 
 
 
 &nbsp;
 
 
 <ul>
 <li>
 
 Bachelor&rsquo;s or&nbsp;Master&rsquo;s degree in Computer Science, Robotics, Machine Learning, Electrical Engineering, or a closely related technical field
 
 
 &nbsp;
 
 </li>
 <li>
 
 1 to 2 years of experience building machine learning systems&nbsp;
 
 
 
 or
 
 
 
 &nbsp;exceptional new graduates with strong internships or research experience
 
 
 &nbsp;
 
 </li>
 <li>
 
 Experience developing machine learning models using&nbsp;PyTorch&nbsp;or TensorFlow
 
 
 &nbsp;
 
 </li>
 <li>
 
 Strong programming ability in Python
 
 
 &nbsp;
 
 </li>
 <li>
 
 Solid mathematical foundation in linear algebra, probability, and optimization
 
 
 &nbsp;
 
 </li>
 <li>
 
 Experience working with real-world datasets in computer vision, robotics, or machine learning
 
 
 &nbsp;
 
 </li>
 </ul>
 
 
 
 Preferred Qualifications
 
 
 
 &nbsp;
 
 
 <ul>
 <li>
 
 Internship experience at leading technology, robotics, autonomy, or AI companies
 
 
 &nbsp;
 
 </li>
 <li>
 
 Research experience in machine learning, computer vision, or robotics labs
 
 
 &nbsp;
 
 </li>
 <li>
 
 Experience with perception tasks such as object detection, segmentation, tracking, or 3D vision
 
 
 &nbsp;
 
 </li>
 <li>
 
 Experience working with image, video, lidar, or radar datasets
 
 
 &nbsp;
 
 </li>
 <li>
 
 Familiarity with training pipelines, dataset tooling, and model evaluation
 
 
 &nbsp;
 
 </li>
 <li>
 
 Experience with C++, CUDA, or GPU optimization
 
 
 &nbsp;
 
 </li>
 <li>
 
 Publications or academic research in ML/CV venues such as CVPR, ICCV, ECCV,&nbsp;NeurIPS, or ICML
 
 
 &nbsp;
 
 </li>
 </ul>
 
 
 
 What Makes This Role Unique
 
 
 
 &nbsp;
 
 
 <ul>
 <li>
 
 Work on real autonomous systems&nbsp;operating&nbsp;in the physical world
 
 
 &nbsp;
 
 </li>
 <li>
 
 Build&nbsp;perception&nbsp;systems that must perform reliably in safety-critical environments
 
 
 &nbsp;
 
 </li>
 <li>
 
 Collaborate with engineers across autonomy, robotics, and systems engineering
 
 
 &nbsp;
 
 </li>
 <li>
 
 Contribute directly to a new class of autonomous transportation platform
 
 
 &nbsp;
 
 </li>
 </ul>
 
 We are committed to providing fair and transparent compensation in accordance with applicable laws. Salary ranges are listed below and reflect the expected range for new hires in this role, based on factors such as skills, experience, qualifications, and location. Final compensation may vary and will be determined during the interview process. The target hiring range for this position is listed below.
 
 
 Target Salary Range:: $120,000 USD - $190,000 USD
 
 
 
 
 Parallel Systems is an equal opportunity employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to any discriminatory factor protected by applicable federal, state or local laws. We work to build an inclusive environment in which all people can come to do their best work.
 
 
 
 
 
 
 Parallel Systems is committed to the full inclusion of all qualified individuals. As part of this commitment, Parallel Systems will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact your recruiter.
 
 
 
</div>

Machine Learning/Computer Vision Engineer

The Data Sherpas

<div>Who We Are:

We are a dynamic team focused on building innovative and scalable data solutions on Amazon Web Services (AWS). Our AWS Data Engineer will play a key role in designing, building, and maintaining scalable data pipelines and infrastructure, ensuring data availability, accuracy, and performance for business insights and machine learning models.The ideal candidate will bridge the gap between AWS infrastructure and Snowflake Data Cloud, ensuring a seamless flow of data for analytics. 
What We Are Looking For:

We are seeking a highly skilled and experienced AWS Data Engineer who will be responsible for developing and managing data pipelines on AWS. The ideal candidate will bring strong expertise in AWS data services, big data processing, and data modeling to help us provide high-performance data solutions. Experience in optimizing Snowflake performance and managing Snowflake objects within an AWS environment is critical. 
Responsibilities:

Data Pipeline Development and Management:
<ul>
<li>Design and automate end-to-end data ingestion from APIs, databases, and third-party sources into AWS S3 using Glue, Kinesis, and Lambda.</li>
<li>Develop ETL/ELT processes to process and transform large volumes of structured and unstructured data.</li>
<li>Optimize data pipeline performance, scalability, and reliability.</li>
<li>Ensure data processing and ingestion workflows are monitored and meet performance SLAs.</li></ul> 


Data Storage and Management:
<ul>
<li>Design and implement data storage solutions using Amazon S3, Redshift, DynamoDB, and RDS.</li>
<li>Architect and manage the 'S3-to-Snowflake' bridge using Snowpipe and External Tables to ensure near real-time data availability.</li>
<li>Optimize data structures, partitioning, and indexing for performance and cost efficiency.</li>
<li>Ensure data security, integrity, and availability across different AWS storage solutions.</li>
<li>Manage data lifecycle policies and archiving processes.</li></ul> 


Data Transformation and Processing:
<ul>
<li>Develop data transformation processes using AWS Glue, EMR, and Athena.</li>
<li>Implement data quality checks, validation rules, and monitoring solutions.</li>
<li>Support real-time and batch data processing needs.</li>
<li>Develop and manage complex data transformations using dbt and Snowflake SQL, ensuring code modularity and version control.</li></ul> 


Data Integration and Automation:
<ul>
<li>Integrate data from multiple sources, including APIs, databases, and third-party applications.</li>
<li>Ensure data consistency across different environments and systems.</li></ul> 


Collaboration and Stakeholder Engagement:
<ul>
<li>Work closely with data scientists and analysts to understand data needs and business goals.</li>
<li>Provide technical guidance and best practices to the data engineering and business teams.</li>
<li>Collaborate with security and compliance teams to ensure data governance standards are met.</li></ul> 


Performance Monitoring and Troubleshooting:
<ul>
<li>Monitor data pipeline performance and troubleshoot issues in real-time.</li>
<li>Analyze data pipeline failures and implement fixes to prevent recurrence.</li>
<li>Set up logging and monitoring using CloudWatch and X-Ray.</li></ul> 


Qualifications:
<ul>
<li>Bachelor&rsquo;s degree in Computer Science, Data Engineering, or a related field; Master&rsquo;s degree is a plus.</li>
<li>5+ years of experience in data engineering, with a focus on AWS and modern cloud data warehouses (Snowflake experience required).</li>
<li>AWS Certified Data Analytics &ndash; Specialty or AWS Certified Big Data &ndash; Specialty certification is required.</li>
<li>Strong proficiency with AWS services such as S3, Redshift, Glue, Athena, Kinesis, Lambda, and Step Functions.</li>
<li>Hands-on experience with big data tools and frameworks such as Apache Spark, Hadoop, and Flink.</li>
<li>Proficiency in dbt (Core or Cloud) for managing transformation workflows, with a strong understanding of dbt testing and documentation frameworks.</li>
<li>Proficiency in programming languages such as Python, Java, or Scala.</li>
<li>Strong knowledge of SQL, data modeling, and query optimization.</li>
<li>Experience with CI/CD tools and version control (e.g., Git, CodePipeline).</li>
<li>Strong understanding of data governance, security, and compliance requirements.</li>
<li>Ability to manage large-scale data processing and real-time data pipelines.</li>
<li>Excellent problem-solving, analytical, and communication skills.</li></ul> 


Preferred Skills:
<ul>
<li>Experience with data lake architecture and implementation on AWS.</li>
<li>Familiarity with Infrastructure as Code (IaC) tools such as CloudFormation and Terraform.</li>
<li>Experience with NoSQL databases (e.g., DynamoDB) and key-value stores.</li>
<li>Knowledge of containerization and orchestration using ECS and EKS.</li>
<li>Snowflake Core Certification (Pro) is a significant plus.</li>
<li>Experience with dbt-package management and integrating dbt with AWS-based orchestration tools like Airflow or Step Functions.</li></ul> 


What We Offer:
<ul>
<li>Competitive salary and performance-based incentives.</li>
<li>Comprehensive health, dental, and vision coverage.</li>
<li>401(k) with company matching.</li>
<li>Professional development and training opportunities (including AWS certification).</li>
<li>Flexible work environment and remote work options.</li></ul> 


Join us and be part of a team building innovative and scalable data solutions on Amazon Web Services! 
This position is open to multiple engagement models, including Permanent/Full-Time, Contract, or Corp-to-Corp (C2C) arrangements. We are looking for the best talent and are flexible on the employment structure for the right candidate. 
We cannot work with third-party agencies at this time. Resumes submitted via unapproved agencies will be automatically rejected.</div>

Data Engineer - AWS (Snowflake)

Rula

<div>We believe that mental health is just as important as physical health. We recognize that mental health issues can be complex and multifaceted, and we are dedicated to treating the whole person, not just the symptoms.
We aim to create a world where mental health is no longer stigmatized or marginalized, but rather is embraced as an integral part of one's overall well-being.
We believe that by providing quality care that is both evidence-based and compassionate, we can empower individuals to take charge of their mental health and achieve their full potential. We are passionate about making a positive impact on the lives of those struggling with mental health issues and we strive to be a force for positive change in the field of mental healthcare.
Rula is a remote-first company. We currently hire in most U.S. states, with the exception of Hawaii.
About the Role
We&rsquo;re hiring a Sr. AI Engineer to help bring AI into the core of how Rula builds better mental healthcare experiences. You&rsquo;ll work closely with product, design, operations, and engineering to ship AI-powered features that solve real problems for patients, providers, and internal teams. Day to day, you&rsquo;ll move between prototyping, building production systems, improving quality, and learning quickly from real-world usage. This is an exciting role for someone who wants to work on meaningful problems, ship fast with care, and have a direct hand in shaping how AI shows up across a growing company.
Required Qualifications<ul><li>
5+ years of AI/ML development (AI solution design, model design, training / finetuning, deployment and quality upkeep), with track record of product success (i.e. not just in an academic or research environment)</li><li>
3+ years of deep experience in Python and 1+ years with at least one backend language (preferably JavaScript, TypeScript, Java, or Go)</li><li>
Hands-on experience with foundation models (OpenAI, Anthropic, Bedrock, Gemini, etc.)</li><li>
Experience designing evaluation pipelines for human alignment, factual accuracy, or model interpretability.</li><li>
Strong expertise in LLM integration patterns (RAG, tool/function calling, agents, memory routing, etc.), AI orchestration frameworks (eg. LangChain, LlamaIndex, DSPy, Haystack), and vector databases (eg. Pinecone, Weaviate, FAISS, Milvus).</li><li>
Deep understanding of AIOps, data pipelines, evaluation, and observability systems for continuous model improvement.</li><li>
Strong and effective communication skills.</li><li>
Bachelor&rsquo;s degree or above in Machine Learning, or related field.</li></ul>
Preferred Qualifications<ul><li>
3+ years of experience with public cloud (AWS, GCP, etc.), 1+ years designing and scaling distributed systems.</li><li>
Experience delivering secure and compliant AI solutions in regulated environments (HIPAA, GDPR, etc.)</li><li>
Familiarity with human-in-the-loop systems and clinical decision support frameworks.</li><li>
Contributions to open-source AI frameworks or applied research in NLP, healthcare AI, or GenAI safety.</li><li>
Experience working in a highly regulated industry such as finance or healthcare</li><li>
Experience contributing to early-stage team growth (0 1)</li></ul>
We're serious about your well-being! As part of our team, full-time employees receive:<ul><li>
100% remote work environment: Working hours to support a healthy work-life balance, ensuring you can meet both professional and personal commitments (must be based in United States, currently not hiring in Hawaii)</li><li>
Attractive pay and benefits: Full transparency of pay ranges regardless of where you live in the United States</li><li>
Comprehensive health benefits: Medical, dental, vision, life, disability, and FSA/HSA</li><li>
401(k) plan access: Start saving for your future</li><li>
Generous time-off policies: Including 2 company-wide shutdown weeks each year for self-care (for most employees)</li><li>
Paid parental leave: Available for all parents, including birthing, non-birthing, adopting, and fostering</li><li>
Employee Assistance Program (EAP): Support for your mental and physical health</li><li>
New hire home office stipend: Set up your workspace for success</li><li>
Quarterly department stipend: Fund team-building activities or in-person gatherings</li><li>
Wellness events and lunch &amp; learns: Explore a variety of engaging topics</li><li>
Community and employee resource groups: Participate in groups that celebrate employee identity and lived experiences, fostering a sense of community and belonging for all</li></ul>
Our team
We believe that diversity, equity, and inclusion are fundamental to our mission of making mental healthcare work for everyone. We are dedicated to having a culture of inclusion that will support our employees in feeling safe, seen, heard, and valued.
Compensation Range: $172,550 - $203,000</div>

Sr. AI Engineer

Divergent

<div>
 Divergent is a technology company that has architected, invented, built, and commercialized an end-to-end factory system called the Divergent Adaptive Production System (DAPS) that comprehensively uses machine learning to optimally engineer, additively manufacture, and flexibly assemble complex integrated vehicle structures and subsystems. Products created using DAPS are superior in performance, lower in cost, rapidly customizable to meet mission and customer-specific requirements, faster to market, and scalable on demand to high volume production. Divergent is a qualified Tier 1 supplier to global automotive OEMs, and Divergent is now expanding to support mission critical needs in the Aerospace and Defense sector. Join us to be a part of this transformative journey, where your impact will shape the future of technology and production.
 
 
 Purpose
 
 
 The Manufacturing Engineer bridges design and production, optimizing designs for manufacturability while enhancing processes to support high-reliability hardware. This role guides new concepts through prototype, enables rapid iteration, troubleshoots complex manufacturing issues, and matures designs into production to uphold Divergent's standards for quality and reliability.
 
 
 The Role
 
 
 Program/Product Ownership
 
 
 <ul>
 <li>
 End-to-end manufacturing ownership of multiple development and production products
 </li>
 <li>
 Technical lead for all manufacturing processes
 
 
 </li>
 </ul>
 Manufacturing Process Development and Optimization:
 
 
 <ul>
 <li>
 Develop, Implement, and refine scalable manufacturing processes aligned with Divergent's technology development.
 </li>
 <li>
 Drive improvements in yield, cycle times, and first-pass quality through data-driven continuous improvement initiatives.
 </li>
 <li>
 Identify and implement automation opportunities to streamline workflows, enhance data collection, and improve process repeatability.
 </li>
 <li>
 Stay current on emerging manufacturing technologies, integrating innovative solutions to advance Divergent's competitive position.
 
 
 </li>
 </ul>
 New Product Introduction and Rapid Iteration:
 
 
 <ul>
 <li>
 Lead new concepts and product designs through the factory, ensuring efficient troubleshooting and rapid iteration to meet aggressive timelines.
 </li>
 <li>
 Implement Design for Manufacturability (DFM) strategies early in the design process, collaborating cross-functionally to optimize manufacturing outcomes.
 </li>
 <li>
 Introduce new equipment, tooling, and processes, conducting rigorous testing and validation to support high-reliability manufacturing.
 
 
 </li>
 </ul>
 Compliance and Quality Assurance:
 
 
 <ul>
 <li>
 Develop and maintain comprehensive manufacturing documentation, including work instructions and process plans, ensuring compliance with quality standards like AS9100.
 </li>
 <li>
 Ensure all manufacturing processes adhere to industry regulations and internal quality management systems.
 </li>
 <li>
 Lead efforts to resolve hardware nonconformance issues promptly, implementing corrective actions to prevent recurrence.
 </li>
 <li>
 Act as a technical lead in troubleshooting and resolving manufacturing issues, supporting production and quality teams.
 
 
 </li>
 </ul>
 Leadership and Team Development:
 
 
 <ul>
 <li>
 Provide technical guidance to manufacturing staff, fostering a culture of excellence, collaboration, and continuous learning.
 </li>
 <li>
 Lead cross-functional product/program teams.
 </li>
 <li>
 Support the Director of Manufacturing Engineering in team growth initiatives.
 
 
 </li>
 </ul>
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 Ability to lawfully access information and technology that is subject to US export controls.
 </li>
 <li>
 Bachelor's degree in Mechanical Engineering, Manufacturing Engineering, or related field.
 </li>
 <li>
 Significant exposure to aerospace or defense industries.
 </li>
 <li>
 Proficiency in CAD software (e.g., Siemens NX, AutoCAD) and strong understanding of Geometric Dimensioning and Tolerancing (GD&amp;T).
 </li>
 <li>
 Experience with Manufacturing Execution Systems (MES), Product Lifecycle Management (PLM), and Enterprise Resource Planning (ERP) systems.
 </li>
 <li>
 Hands-on experience with advanced manufacturing techniques, including additive manufacturing, robotics, or automation.
 </li>
 <li>
 Proven track record of leading complex projects from concept through production, focusing on high-performance materials and high-reliability applications.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Master&rsquo;s degree in a relevant engineering discipline.
 </li>
 <li>
 Lean Six Sigma certification or equivalent expertise in continuous improvement methodologies.
 </li>
 <li>
 Familiarity with quality management systems like AS9100 or ISO 9001.
 </li>
 <li>
 Demonstrated ability to thrive in a high-tech, fast-paced startup environment with a passion for disrupting traditional manufacturing paradigms.
 
 
 </li>
 </ul>
 
 Compensation
 
 
 
 At Divergent, our pay range is based on the level of the job. For this role, we will consider candidates at levels E03 - E06 as evaluated through our interview process.
 
 
 <ul>
 <li>
 Engineer / E03: $91,800 - $126,200
 </li>
 <li>
 Engineer / E04: $106,000 - $145,750
 </li>
 <li>
 Senior / E05: $122,400 - $168,300
 </li>
 <li>
 Lead / E06: $141,400 - $194,400
 
 
 </li>
 </ul>
 Pay Range: $91,800 USD - $194,400 USD
 
 
 
 What We Offer:
 
 
 
 <ul>
 <li>
 Holistic Compensation Package: Enjoy a world-class compensation package that includes a competitive salary, equity plan, and discretionary results-based incentive bonus opportunities, ensuring you're truly valued for your contributions.
 </li>
 <li>
 Wellness and Time Off: Embrace a healthy lifestyle with paid vacation, sick time, and company holidays, including a year-end shutdown to recharge. We support growing families with paid parental leave, recognizing the importance of bonding time.
 </li>
 <li>
 Comprehensive Health and Wellness: Prioritize your well-being with our comprehensive health and wellness benefits, offering both HMO and Premium PPO options. Additionally, benefit from company-sponsored life insurance and short and long-term disability coverage for peace of mind.
 </li>
 <li>
 Investment in Growth: We're committed to your professional development. Take advantage of reimbursement opportunities for learning and development initiatives, empowering you to continuously expand your skill set and reach peak performance.
 </li>
 <li>
 Collaborative and High-Performing Environment: Join our collaborative, dynamic, and high-performing team within a fast-paced, mission-driven company. Together, we're disrupting the traditional manufacturing industry, fostering innovation, and integrating people and technology to reduce our footprint.
 
 
 </li>
 </ul>
 
 
 Equal Employment Opportunity
 
 
 
 
 
 Divergent is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected characteristic. Divergent provides affirmative action in employment for qualified Individuals with Disabilities and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans&rsquo; Readjustment Assistance Act.
 
 
 
 
 EEO Poster
 
 
 
 
 In order to adjust to changes in our business, it may become necessary to add, remove or modify certain duties and responsibilities, or to reassign you to another job position. From time to time you may be asked to work on special projects or to assist with other work. Your cooperation and assistance in performing such additional work is expected.
 
 
 
 
 
 E-Verify: Right to Work
 
 
 
 
 
 Our company participates in E-Verify. E-Verify is a program that electronically confirms a candidate&rsquo;s eligibility to work in the United States after completing the Employment Eligibility Verification (Form I-9). The information provided on the Form I-9 is compared to the records contained in the Social Security Administration and Department of Homeland Security (DHS) databases. This helps employers verify the identity and employment eligibility of newly hired employees.
 
 
 
 
 Eligibility to Work Poster (English) | Eligibility to Work Poster (Spanish)
 
 
 
 
 
 Los Angeles Fair Chance Initiative for Hiring Ordinance (FCIHO)
 
 
 
 
 
 Pursuant to the Los Angeles Fair Chance Initiative for Hiring Ordinance (FCIHO), we will consider for employment qualified applicants with arrest and conviction records.
 
 
 
 
 
 No agencies, no solicitations, and no calls please.
 
 
</div>

Manufacturing Engineer (All Levels)

UCLA Health

<div><div>Description
We are seeking a detail oriented Data Analyst to support high impact research using large healthcare datasets, including UCLA and VA electronic health records (EHR), Medicare data, and other complex clinical databases. The analyst will play a key role in building and managing research datasets, performing data cleaning, and conducting advanced statistical analyses.

Key Responsibilities:
<ul><li>
Construct, manage, and clean large, complex datasets (UCLA/VA EHR, Medicare, and others). 
</li><li>
Collaborate with faculty and research staff on data quality control and database design. 
</li><li>
Develop and apply statistical models to support clinical and health services research. 
</li><li>
Summarize results in clear graphical and tabular formats for reports, publications, and presentations. 
</li><li>
Partner with research teams to ensure accurate, reproducible, and well documented analyses.</li></ul> 
This role is ideal for candidates who enjoy transforming raw data into meaningful insights that drive impactful healthcare research. 

Salary: $33.96 - $69.54 hourly 
 
</div><div>Qualifications
Required:<div><ul><li>
Bachelor's Degree in Statistics / Computer Science / Bioinformatics / Data Specification / Data Science / Computational and/or equivalent combination of education and experience. 
</li><li>
Knowledge of basic and multivariable statistics. 
</li><li>
Experience with a range of statistical modeling (e.g., hierarchical/multilevel modeling, GLM and GEE modeling, two-stage models, survival models). 
</li><li>
Knowledge of research design. 
</li><li>
Competency in statistical software applications (e.g., STATA, R, SAS). 
</li><li>
Experience with database management via SQL to run queries and extract data. 
</li><li>
Ability to conceptualize and construct tables and graphs. 
</li><li>
Working knowledge of statistical terminology. 
</li><li>
Ability to summarize statistical analyses for collaborators. 
</li><li>
Ability to manage and merge large dataset and datatables from different sources to develop analytic datasets as a single file. 
</li><li>
Ability to produce visual tools that highlight the essential information from a project or study. 
</li><li>
Ability to learn new statistical techniques and to adapt existing code to customize statistical analysis strategies.</li></ul></div><div></div><div> 
Preferred:
</div><div><ul><li>Master&rsquo;s degree or higher in Biostatistics/Statistics/Computer Science or related field 
</li><li>
2 years experience in Statistics/Computer Science/Bioinformatics/Data Specification/ Data Science. 
</li><li>
Competence with Python for database management and statistical analyses. 
</li><li>
Experience with using Jupyter notebook 
</li><li>
Experience with regular expression natural language processing via Python 
</li><li>
Experience with machine learning models (e.g. regularization regression, random forests, ensemble methods) 
</li><li>
Experience with causal inference approaches such as instrumental variable models, propensity-score methods, difference-in-difference designs, regression discontinuity, G-estimation. 
</li><li>
Experience with economic models.</li></ul></div></div></div><div></div>

Research Data Analyst II

Tinder

<div>
 
 
 Our Mission
 
 
 
 
 
 
 
 As humans, there are few things more exciting than meeting someone new. At Tinder, we&rsquo;re inspired by the challenge of keeping the magic of human connection alive. With tens of millions of users, hundreds of millions of downloads, 2+ billion swipes per day, 20+ million matches per day, and a presence in 190+ countries, our reach is expansive&mdash;and rapidly growing.
 
 
 
 
 
 
 
 We work together to solve complex problems. Behind the simplicity of every match, we think deeply about human relationships, behavioral science, network economics, AI and ML, online and real-world safety, cultural nuances, loneliness, love, sex, and more.
 
 
 
 
 
 
 
 Program Duration
 
 
 
 
 The internship program will run from June 1 through August 28, 2026.
 
 
 
 
 
 
 
 Where you&rsquo;ll work
 
 
 
 
 This is a hybrid role that requires in-office collaboration three days per week in Los Angeles.
 
 
 
 
 
 
 
 About the Role
 
 
 
 
 As a Data Scientist Intern at Tinder, you&rsquo;ll help us uncover insights from one of the world&rsquo;s largest datasets to enhance user experience, strengthen safety, and drive innovation across our platform. You&rsquo;ll work alongside talented engineers, data scientists, and product teams to solve real-world problems using data-driven approaches that shape the future of how people connect.
 
 
 
 
 
 
 
 What you'll do:
 
 <li>
 Explore and analyze large-scale datasets to identify patterns, trends, and opportunities
 </li>
 <li>
 Develop and evaluate machine learning models and/or LLMs that improve user experience and engagement
 </li>
 <li>
 Design and execute A/B experiments to measure the impact of product features and algorithmic changes
 </li>
 <li>
 Collaborate with cross-functional partners in Data Science, Product, and Engineering to translate insights into actionable strategies
 </li>
 <li>
 Present key findings and project outcomes to Product and Leadership teams during end-of-internship demos
 </li>
 <li>
 Translate data insights into clear narratives and recommendations that inform product roadmaps and user experience improvements
 </li>
 <li>
 Participate in improving the team&rsquo;s tools and techniques for experiment reads, focusing on standardization, automation, and clear documentation
 </li>
 
 
 
 
 What we're looking for:
 
 <li>
 Passion for using data and experimentation to solve complex problems
 </li>
 <li>
 Intermediate to advanced SQL skills for data querying and analysis
 </li>
 <li>
 Familiarity with / building to proficiency in Python
 </li>
 <li>
 Strong foundation in statistics, probability, and machine learning fundamentals
 </li>
 <li>
 Understanding of data structures and algorithms
 </li>
 <li>
 Currently pursuing a BS/BA, MS, or PhD in Computer Science, Data Science, Economics, Statistics, Applied Math, or a related field
 </li>
 
 
 
 
 
 
 
 Commitment to Inclusion
 
 
 
 
 
 
 
 At Tinder, we don&rsquo;t just accept difference, we celebrate it. We strive to build a workplace that reflects the rich diversity of our members around the world, and we value unique perspectives and backgrounds. Even if you don&rsquo;t meet all the listed qualifications, we invite you to apply and show us how your skills could transfer. Tinder is proud to be an equal opportunity workplace where we welcome people of all sexes, gender identities, races, ethnicities, disabilities, and other lived experiences. Learn more here:&nbsp;
 
 
 https://www.lifeattinder.com/dei
 
 
 
 
 
 
 
 If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please speak to your Talent Acquisition Partner directly.
 
 
 
 
 
 
 
 #Tinder
 
 
 
 
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
 
 
 
 
 The compensation range listed above is representative of the hourly rate offered.
 
 
 
 Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of a position based in Los Angeles, California. This hourly rate will be subject to a geographic adjustment (according to a specific city, state, and country), if an authorization is granted to work outside of the location listed in this posting.
 
</div>

Data Scientist Intern

<div>We believe that mental health is just as important as physical health. We recognize that mental health issues can be complex and multifaceted, and we are dedicated to treating the whole person, not just the symptoms.
We aim to create a world where mental health is no longer stigmatized or marginalized, but rather is embraced as an integral part of one's overall well-being.
We believe that by providing quality care that is both evidence-based and compassionate, we can empower individuals to take charge of their mental health and achieve their full potential. We are passionate about making a positive impact on the lives of those struggling with mental health issues and we strive to be a force for positive change in the field of mental healthcare.
Rula is a remote-first company. We currently hire in most U.S. states, with the exception of Hawaii.
About the Role
We&rsquo;re hiring a Staff AI Engineer to lead some of Rula&rsquo;s most important applied AI investments as we scale. You&rsquo;ll own technical direction for high-impact AI products, work across teams to turn big ideas into shipped systems, and help raise the bar for how we build, evaluate, and operate AI in production. This role sits at the center of product innovation and engineering execution, with the chance to influence both what we build and how we build it. It&rsquo;s a strong fit for someone who loves operating in fast-moving environments, wants to drive outsized impact, and is excited to help define the future of AI at Rula.
Required Qualifications<ul><li>
8+ years of AI/ML development (AI solution design, model design, training / finetuning, deployment and quality upkeep), with track record of product success (i.e. not just in an academic or research environment)</li><li>
5+ years of deep experience in Python and 2+ years with at least one backend language (preferably JavaScript, TypeScript, Java, or Go)</li><li>
Hands-on experience with foundation models (OpenAI, Anthropic, Bedrock, Gemini, etc.)</li><li>
Experience designing evaluation pipelines for human alignment, factual accuracy, or model interpretability.</li><li>
Strong expertise in LLM integration patterns (RAG, tool/function calling, agents, memory routing, etc.), AI orchestration frameworks (eg. LangChain, LlamaIndex, DSPy, Haystack), and vector databases (eg. Pinecone, Weaviate, FAISS, Milvus).</li><li>
Deep understanding of AIOps, data pipelines, evaluation, and observability systems for continuous model improvement.</li><li>
Strong and effective communication skills.</li><li>
Bachelor&rsquo;s degree or above in Machine Learning, or related field.</li></ul>
Preferred Qualifications<ul><li>
5+ years of experience with public cloud (AWS, GCP, etc.), 2+ years designing and scaling distributed systems.</li><li>
Experience delivering secure and compliant AI solutions in regulated environments (HIPAA, GDPR, etc.)</li><li>
Familiarity with human-in-the-loop systems and clinical decision support frameworks.</li><li>
Contributions to open-source AI frameworks or applied research in NLP, healthcare AI, or GenAI safety.</li><li>
Experience working in a highly regulated industry such as finance or healthcare</li><li>
Experience contributing to early-stage team growth (0 1)</li></ul>
We're serious about your well-being! As part of our team, full-time employees receive:<ul><li>
100% remote work environment: Working hours to support a healthy work-life balance, ensuring you can meet both professional and personal commitments (must be based in United States, currently not hiring in Hawaii)</li><li>
Attractive pay and benefits: Full transparency of pay ranges regardless of where you live in the United States</li><li>
Comprehensive health benefits: Medical, dental, vision, life, disability, and FSA/HSA</li><li>
401(k) plan access: Start saving for your future</li><li>
Generous time-off policies: Including 2 company-wide shutdown weeks each year for self-care (for most employees)</li><li>
Paid parental leave: Available for all parents, including birthing, non-birthing, adopting, and fostering</li><li>
Employee Assistance Program (EAP): Support for your mental and physical health</li><li>
New hire home office stipend: Set up your workspace for success</li><li>
Quarterly department stipend: Fund team-building activities or in-person gatherings</li><li>
Wellness events and lunch &amp; learns: Explore a variety of engaging topics</li><li>
Community and employee resource groups: Participate in groups that celebrate employee identity and lived experiences, fostering a sense of community and belonging for all</li></ul>
Our team
We believe that diversity, equity, and inclusion are fundamental to our mission of making mental healthcare work for everyone. We are dedicated to having a culture of inclusion that will support our employees in feeling safe, seen, heard, and valued.
Compensation Range: $206,550 - $243,000</div>

Staff AI Engineer - Applied AI (Remote)

Explore 313+ Machine learning computer vision engineer in Los Angeles this April. Find roles across top companies and apply now to boost your career.