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Who You Are

You are a highly skilled Senior Software Engineering Manager with a strong background in search engines and natural language processing. The ideal candidate will have a passion for solving complex problems, an in-depth understanding of search algorithms, and expertise in leveraging NLP & LLM techniques to enhance search capabilities. In this role, you will be responsible for leading a team of software engineers, driving technical initiatives, and collaborating with cross-functional teams to deliver high-quality search engine solutions.

Your Next Challenge

• Lead a team of software engineers specializing in search engines and NLP, providing guidance, mentorship, and fostering a collaborative and innovative environment.
• Drive the development of advanced search algorithms and techniques, leveraging NLP to enhance search relevance, query understanding, and information retrieval.
• Collaborate with product managers, data scientists, and UX designers to define requirements, prioritize tasks, and deliver search engine features that meet user needs and business objectives.
• Architect scalable and reliable search systems, ensuring high availability, fault tolerance, and efficient query processing.
• Stay up-to-date with the latest advancements in LLMs, search engine technologies, NLP techniques, and industry best practices, and apply them to drive continuous improvement in our search capabilities.
• Conduct code reviews, provide technical guidance, and promote engineering best practices to maintain code quality, scalability, and performance.
• Collaborate with cross-functional teams, including data engineering, infrastructure, and quality assurance, to ensure seamless integration and deployment of search engine solutions.
• Manage project timelines, resource allocation, and prioritize tasks to meet delivery deadlines.
• Identify and address technical challenges and risks proactively, proposing creative solutions and mitigations as needed.
• Foster a culture of innovation, collaboration, and learning within the engineering team, promoting knowledge sharing and professional development.

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
• Minimum of 10 years of experience in software engineering, with 5 years in leadership roles.
• Strong knowledge of search engine architectures, algorithms, and information retrieval techniques. Experience in image processing and image search is nice to have.
• Proficiency in OO programming languages such as C#, Java, Python, or C++.
• Experience with NLP libraries and frameworks, such as NLTK, SpaCy, or TensorFlow.
• Proven track record of successfully leading software engineering teams and delivering complex projects.

Are you passionate about search engine technologies, NLP, and leading talented engineering teams? We would love to hear from you. Join us in our mission to move the world through imagery!

Benefits at Getty Images

Health Insurance

We provide Medical, Vision, and Dental insurance for you and your family. We partner with Meritain (An Aetna Company), and CVS Caremark to provide you with two options for medical coverage - a POS plan and an HSA-qualified (Health Savings Account) Plan. The POS plan comes with a $200 per year Getty Images contribution to an FSA account. If you enroll in the HSA plan, Getty Images will give you $1400-$2400 per year to spend on any qualified health expenses. Dental insurance is available through Delta Dental. Vision Insurance is available through VSP. All full-time employees working at least 25 hours per week will become eligible for health benefits the 1st of the month following their date of hire. Contributions to health care accounts are prorated based on the date of hire.  For more information on these benefits, you may request an electronic copy of our Benefits Guide.

Time off Work/life balance is important to us

We provide flexible time off and 10 sick days each calendar year. Additionally, we pay 4 weeks of fully-paid Parental Leave for new parents, with primary caregivers eligible for an additional 8 weeks of fully-paid leave.  

Company Paid Holidays

Employees enjoy company-paid holidays for each of our global locations.

Disability and Life Insurance

We automatically enroll and pay for Basic Life and Accidental Death and Dismemberment Insurance (AD&D) up to 2 times your annual salary. We also provide you with fully paid Short-Term Disability and Long-Term Disability Insurance. 

Employee Assistance Program

Employees have access to free, confidential assistance for everyday problems such as stress management, financial coaching, marital or family issues, substance abuse, occupational problems, and referrals for legal, childcare, and eldercare services. Employees can seek additional discounts on other wellness activities such as travel, gym memberships, and sports! Through our EAP services, employees are also eligible for 3 free counseling visits and life coaching sessions.  

401(k)

Start saving for retirement! Getty Images matches up to 4% of your deferred compensation, with immediate vesting – that means all of Getty Images employer match money is automatically yours – with no waiting period! 

Learning & growth

We value continuous learning and development to help everyone develop their skills. Enjoy mentorship, curated training & more.

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Covid-19 Company Statement:

Getty Images does not require employees to be vaccinated against Covid-19, but vaccination or testing may be mandated by the relevant local laws with which Getty Images will comply. If this position involves contact with third parties, attendance on site for events, travel and/or work in our offices, those actions will be subject to any to relevant local laws, venue or customer requirements, or travel requirements regarding vaccines or testing (and exemptions thereto).  

US Specific:

Getty Images does not require employees to be vaccinated against Covid-19, but vaccination or testing has been mandated by the Biden administration and that mandate applies to our US workforce. If this position involves contact with third parties, attendance on site for events, travel and/or work in our offices, those actions will be subject to any to relevant local laws, venue or customer requirements, or travel requirements regarding vaccines or testing (and exemptions thereto).

Who We Are:

Getty Images is a preeminent global visual content creator and marketplace. Through Getty Images, iStock, and Unsplash, we offer a full range of content solutions to meet the needs of any customer—no matter their size—around the globe.

Getty Images encompasses the largest and best path to market for visual creators through their premier brands including its core, Getty Images; iStock, a value offering of creative stills and videos providing a significant volume of exclusive content to small and medium-sized businesses; and Unsplash, a free offering of creative stills servicing the fast-growing and broad-based creator economy. 

Help us move the world with images! Bringing award-winning imagery to everyone, Getty Images has customers in almost every country in the world, with websites in 23 languages, bringing the world’s best content to media outlets, advertising agencies and corporations, small businesses and increasingly, direct to consumers.

Getty Images works with over 516,000 contributors and image partners to provide comprehensive coverage of more than 160,000 news, sport, and entertainment events around the globe. With over 520 million assets, of which over 320 million are digitized, encompassing the latest global news, sports, celebrity, music and fashion coverage; exclusive conceptual creative images; and the world’s largest commercial archive. New content is added daily, with 8-10 million new assets added each quarter.

Getty Images offers the most exclusive and unique creative and editorial visual content globally. The breadth and quality of our content allow our customers and partners to tell their stories with greater creativity and accuracy, thereby eliciting more emotion and enabling more action. Getty Images moves the world —whether the goal is commercial or philanthropic, revenue-generating or society-changing, market-disrupting or headline-driving. Getty Images offers the highest quality and most diverse visual content, based on industry-leading expertise and innovation.

Leadership Principles

As a company, we're committed to living these Principles every day. Here's how we support our mission to be the best place to work globally.

We are trustworthy, transparent, and honest

We love character, authenticity, and integrity.

We always raise the bar

Excellence is our norm; we get better through endeavor, curiosity, and speed.

We collectively bring solutions

We love debate but collaborating to solve problems for ourselves and our customers is everyone’s responsibility.

We care, are kind, courteous, and respectful

We will not tolerate rudeness.

We reject biased behavior and discrimination

We seek to understand biases in all forms. We call out biases and discrimination when observed and take action where responsible.

We are inclusive of different voices, perspectives, and experiences

Diversity and inclusion are never done, but we are passionate in their pursuit.

We are one Getty Images with no silos

We share goals and accountability; we and actively seek information and expertise; we make time for our peers.

We deliver on our commitments, and commercial goals

With one voice and shared accountability.

We put the customer at the heart of everything we do

We listen to, anticipate, and exceed customer needs, adapting as they evolve.

We celebrate our inclusive work environment and welcome members of all backgrounds and perspectives. Women, gender-nonbinary, people of color, LGBTQIA+ people, and people with disabilities are encouraged to apply. 

Getty Images is committed to providing Reasonable Accommodations and will work with you to meet your needs. If you are a person with a disability and require assistance to search for a job opening or submitting an online application, please email RecruitingAccommodations@gettyimages.com.

Visit Getty Images at www.gettyimages.com to learn more about how the company is advancing the unique ​​role of still and moving imagery in communication and business, and enabling creative ideas to come to life. 

For company news and announcements, visit our Press Room, and for the stories and inspiration behind our content, visit Stories & Trends.

Find Getty Images on Facebook, Twitter, Instagram, LinkedIn, Pinterest and Tumblr, or download the Getty Images app where you can explore, save and share the world's best imagery. 

Getty Images is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. Getty Images believes that diversity is critical to our success in moving the world with images and is committed to creating an inclusive, mutually respectful environment that celebrates diversity. We seek to hire on the basis of merit, competence, performance, and business needs. 

About Karius

Karius is a venture-backed life science startup that is transforming the way pathogens and other microbes are observed throughout the body.  By unlocking the information present in microbial cell-free DNA, we're helping doctors quickly solve their most challenging cases, providing industry partners with access to the microbial landscape to accelerate biomarker discovery and clinical trials, discover novel microbes, to ultimately reduce patient suffering worldwide.

Position Summary

The Senior Clinical Data Scientist plays a critical role in driving the extraction, analysis and interpretation of clinical trial data to support evidence-based decision making and drive the development of innovative healthcare solutions. This position requires a strong background in data analysis, statistical modeling, and clinical research methodologies. The ideal candidate will have a passion for leveraging data to improve patient outcomes and contribute to the advancement of medical knowledge.

Why Should You Join Us?

Karius aims to conquer infectious diseases through innovations around genomic sequencing and machine learning. The company’s platform is already delivering unprecedented insights into the microbial landscape, providing clinicians with a comprehensive test capable of identifying more than a thousand pathogens directly from blood, and helping industry accelerate the development of therapeutic solutions. The Karius test we provide today is one of the most advanced solutions available to physicians who aim to deliver better care to many otherwise ineffectively treated patients. Our test is the result of some incredible work done by our scientists, statisticians, engineers, and physicians, all driven by the same mission. You, as part of the Karius team, will be able to see how directly your work has a life-changing impact on people, and at scale.

Reports to:    Vice President, Clinical Affairs

Location:  Redwood City, CA or Remote

Primary Responsibilities

•   Collaborates on clinical study design and protocol development, authors and executes statistical analysis plans to support study endpoints, and conducts sample size calculations

•   Develops statistical analysis programs to merge complex clinical data structures from multiple databases, create analysis data set and generate tables, listings, and figures for reports and peer-reviewed manuscripts

•   Uses appropriate statistical, visual, and narrative displays of clinical data in a manner that is easily and appropriately interpreted by the target audience

•   Interacts with members of the Data Management and Clinical Operations teams to align statistical endpoints of the clinical study to data collection, monitoring, and analysis activities

•   Recognizes and resolves clinical protocol issues that may impact database design, data validation and/or analysis/reporting, minimizes the data footprint to focus on the trial endpoints

•   Participates in the development of database clinical trial data specifications, including eCRF design, user requirements, edit rules/checks, query logic, and data validations

•   Interprets and evaluates data and results of complex clinical studies and develops appropriate recommendations

•   Collects, organizes, and interprets statistical information from clinical databases, coded data, and other specified data sets

What’s Fun About the Job?

Karius is operating at the edge of what is now known to be possible in infectious disease diagnostics. With that, comes a wave of new and incredible challenges and opportunities. To deliver on that value, you will be tapping into some of the most advanced technologies, architecting and innovating where the current solutions simply don't suffice. You will get to see how much your work really matters.

Travel:      Travel required up to 5%.

Physical Requirements

Subject to extended periods of sitting and/or standing, vision to monitor and moderate noise levels. Work is generally performed in an office. 

Position Requirements

•   5+ years experience at a life sciences (e.g. diagnostic, biotech, or pharmaceutical) company analyzing clinical datasets, proficient in SQL, Python, R, or SAS.

•   Graduate degree in statistics, biostatistics, epidemiology, informatics, or a related field. Additional coursework in programming, analytics, or related disciplines is strongly desired. PhD preferred.

•   Solid proficiency in statistical methodology, particular for statistical measures related to diagnostic test accuracy and power and sample size calculations. 

•   Knowledge of diagnostic clinical trial statistics is required.

•   Experience with data visualization, translating clinical data and information into a visual context to support publication and results reporting.

•   Strong knowledge of statistical theory, experimental design and clinical trial methodologies, linear and nonlinear modeling, categorical and non-parametric methods, survival analysis, and associated sample size calculations.

•   Experience with the extraction of data and reporting within Clinical Data Management systems (e.g. Medidata RAVE, Medrio, Oracle Clinical).

•   Familiar with ICD-10 and CPT codes, AHRQ quality indicators, and other similar healthcare-related tools and data, especially to support clinical impact, cost, and HCRU studies.

•   Outstanding verbal, written, and presentation skills with a strong ability to influence and communicate effectively throughout all levels of the organization and externally.

Personal Qualifications

•   Excellent analytical skills to interpret complex clinical data, identify trends, and draw accurate conclusions.

•   Attention to detail to ensure data quality and accuracy.

•   Critical thinking to be able to identify and solve problems, develop innovative solutions and make informed decisions.

•   Team player with the ability to collaborate effectively cross-functionally and work as part of a team.

•   Strong communication skills with the ability to communicate complex data analysis results to both technical and non-technical stakeholders

•   Adaptability to new technologies and data sources, regulatory guidelines, and changing business needs.

At Karius, we value a diverse and inclusive workplace and provide equal employment opportunity for all applicants and employees and are committed to honor and invest in the full diversity of people, in our hiring, recruiting and development of employees across the Company.  All qualified applicants for employment are encouraged to apply and will be considered without regard to an individual’s race, color, sex, gender identity and gender expression (including transgender individuals who are transitioning, have transitioned, or are perceived to be transitioning to the gender with which they identify), religion, age, national origin or ancestry, citizenship, physical or mental disability, medical condition, family care status, marital status, domestic partner status, sexual orientation, genetic information, military or veteran status, or any other basis protected by federal, state or local laws. If you are unable to submit your application due to a disability, please contact us at recruiting@kariusdx.com and we will accommodate qualified individuals with disabilities.

About AKASA

Our mission is to enable human health.  

AKASA is the leading developer of AI for healthcare operations. Founded in 2019, AKASA has raised $85M in funding and has grown to more than 200 employees.  

Our founding team includes Silicon Valley leaders who have founded or been founding team members of multiple companies with successful exits. Our investors include Andreessen Horowitz, BOND, and Costanoa Ventures, among others. Recognized in 2021 among Top 150 “Most Innovative Digital Health Startups” by CB Insights, Top 75 “Best Places to Work” by Modern Healthcare, Certified as a “Great Place to Work” two years in a row, and ranked #34 of Top 100 Healthcare Companies in 2021 by The Healthcare Technology Report. Learn more at www.AKASA.com.  

We are building the future of healthcare with AI.  Everyone is welcome — as an inclusive workplace, our employees are comfortable bringing their authentic selves to work.  

Join us.  

About the Role

As a remote Senior Machine Learning Engineer, you'll report to our Engineering Manager, Machine Learning and work with machine learning PhDs from top schools (e.g., Stanford, Cornell, UC Berkeley), and experienced machine learning engineers from top companies (e.g., Google, Facebook, Amazon). You will put machine learning into practice, so your code directly affects our customers immediately. You will work with large proprietary medical and clinical datasets containing both structured documents, natural language and images.

AKASA is based in South San Francisco. As a company, we embraced remote work before COVID-19. We consider ourselves experts in working collaboratively wherever our team members happen to reside within the US.

What You'll Do

•  Participate in developing state-of-art machine learning solutions to address large scale healthcare problems
• Design and build pipelines that collect, preprocess, and deliver data with a measurable quality
• Write production-ready software with fast and efficient algorithms
• Develop state-of-the-art machine learning algorithms across computer vision, natural language understanding, and structured data problems to solve problems like medical document entity extraction and claim outcome prediction
• Own machine learning services from end-to-end, including problem discovery, data pipeline development, model experimentation, and service deployment
• Help build new machine learning prediction delivery systems - all of our products are built from the ground up with machine learning at their core, enabling us to deploy our predictions in new and interesting ways
• Opportunity to quickly make an impact and becoming a leader on the ML team

• Master's degree in Computer Science or similar
• 5+ years of work experience in machine learning or data engineering
• Have experience launching production systems from the ground up
• Proficiency in one or more programming languages such as Python and C++
• Development experience with big data technologies such as SQL and AWS/Cloud Platform
• Knowledge of machine learning frameworks such as Pytorch and/or Tensorflow
• Full-stack development experience for an end-to-end machine learning solution
• Ideal experience with Natural Language Processing or Computer Vision

• Unlimited paid time off (PTO)
• Expansive coverage for health, dental, and vision
• Employer contribution to Health Savings Accounts (HSA)
• Generous parent leave policy
• Full employee coverage for life insurance
• Company-paid holidays
• 401(K) plan

• Based on market data and other factors, the salary range for this position is $175,000-$230,000 + Equity. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

We’re committed to doing the best work of our lives, together. Come see if we're the right team for you.

AKASA is a proud equal opportunity employer and we believe that a diverse and inclusive workforce is an imperative. We welcome people of different backgrounds, genders, races, ethnicities, abilities, sexual orientations, and perspectives, just to name a few. We do not discriminate based upon any protected class and we encourage candidates of all identities and backgrounds to apply. AKASA considers qualified applicants regardless of criminal histories in accordance with the San Francisco Fair Chance Ordinance.

AKASA is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at recruiting@akasa.com.