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Shark Research Jobs (NOW HIRING)

SharkNinja

Lead UX Designer

Needham, MA · On-site

$119K - $156K/yr

Powered by two trusted, global brands, Shark and Ninja, the company has a proven track record of ... Translate consumer insights, user research, and competitive analysis into user-centered design ...

SharkNinja

Director, UX

Needham, MA

Powered by two trusted, global brands, Shark and Ninja, the company has a proven track record of ... Champion a human-centered design process, ensuring consumer insights and user research are embedded ...

SharkNinja

Director, UX

Needham, MA · On-site

Powered by two trusted, global brands, Shark and Ninja , the company has a proven track record of ... Champion a human-centered design process, ensuring consumer insights and user research are embedded ...

SharkNinja

Ux Designer, Mobile Apps

Needham, MA · On-site

Powered by two trusted, global brands, Shark and Ninja , the company has a proven track record of ... Translate consumer insights and user research into user-centered solutions that are both functional ...

Anomali Inc.

Senior Data Scientist

Redwood City, CA · On-site

Anomali LABS is the research and data science team at Anomali. We are responsible for conducting ... Experience with distributed programming using Map Reduce, Spark, Shark, Hive, Pig, or Cascading

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How much do shark research jobs pay per hour?

As of Jul 2, 2026, the average hourly pay for shark research in the United States is $28.56, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $36.30 per hour, depending on experience, location, and employer.

How much money do shark researchers make?

Shark researchers, or marine biologists specializing in sharks, typically earn between $50,000 and $100,000 annually, depending on experience, education, and funding sources. Entry-level positions may pay less, while experienced researchers or those in senior roles can earn higher salaries, often supplemented by grants or institutional support.

What are the key skills and qualifications needed to thrive in the Shark Research position, and why are they important?

To thrive in Shark Research, you need a solid background in marine biology, field research methods, and statistical data analysis, often supported by an advanced degree in a related field. Experience with tools such as satellite tagging technology, GIS software, and scientific diving certifications is often required. Strong observational skills, teamwork, and excellent written and verbal communication set candidates apart. These skills are vital for conducting rigorous research, ensuring safety, and effectively sharing findings within scientific communities and to the public.

What biology jobs pay over $100k?

In biology-related fields, roles such as biomedical directors, pharmaceutical executives, and certain research scientists can earn over $100,000 annually. These positions often require advanced degrees, specialized skills, and experience in areas like genetics, pharmacology, or laboratory management.

What jobs make $3,000 a month without a degree?

In the field of shark research or related marine sciences, entry-level positions such as research assistants or field technicians can sometimes earn around $3,000 monthly, especially with experience or specialized skills like scuba certification and data collection. Outside of formal degrees, jobs like commercial fishing, marine tourism guides, or environmental survey workers may also reach this income level with experience and seasonal work. However, many higher-paying roles in marine research typically require relevant education or training.

What is a Shark Research job?

A Shark Research job involves studying sharks' behavior, biology, ecology, and population dynamics. Researchers may conduct fieldwork, such as tagging and tracking sharks, collecting data on their habitats, and analyzing samples in a lab. They often work for universities, conservation organizations, government agencies, or marine institutes. The goal is to better understand sharks and help develop conservation strategies to protect them.

How do I become a shark researcher?

To become a shark researcher, typically a bachelor's degree in marine biology, zoology, or a related field is required, often followed by a master's or Ph.D. for advanced research roles. Gaining experience through internships, fieldwork, and developing skills in data collection, diving, and species identification are important steps in pursuing this career.

What does a typical workweek look like for someone working in Shark Research?

A typical workweek in Shark Research can be a mix of fieldwork, laboratory analysis, and data processing, depending on the project phase and location. You may spend days at sea tagging and tracking sharks, collecting biological samples, or conducting underwater observations, followed by time in the lab analyzing data and preparing reports. Collaboration with other scientists, conservation organizations, and local stakeholders is common, and some roles involve educational outreach or public presentations. The job can be physically demanding and may require irregular hours, but it offers a dynamic environment with opportunities to contribute to marine conservation and scientific discovery.

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Shark Research jobs near you
Infographic showing various Shark Research job openings in the United States as of June 2026, with employment types broken down into 86% Full Time, and 14% Part Time. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $59,403 per year, or $28.6 per hour.
Staff Software Engineer, Applied Research

Staff Software Engineer, Applied Research

DigitalOcean

Seattle, WA • On-site

$216K - $271K/yr

Full-time

Posted 8 days ago

Job description

Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you'll find your place here. We value winning together-while learning, having fun, and making a profound difference for the dreamers and builders in the world.
Building AI agents that can remember a conversation is the easy part. Building agents that maintain useful, accurate, and trustworthy memory across long-running workflows is one of the hardest open problems in production AI today.
That's what this team works on. As a Staff AI/ML Engineer on our Applied Research team, you'll own the technical direction for agent memory in DigitalOcean's agentic systems: how agents store context, retrieve relevant information, update beliefs, personalize experiences, and reason over past interactions.
This is a senior IC role with broad technical scope. You'll set direction, run experiments at scale, and work cross-functionally with product managers, scientists, applied researchers, engineers, and designers to move memory research from prototype to shipped product capability.
What You'll Be Doing
Own the agent memory roadmap
  • Define and execute the applied research agenda for memory-enabled agentic AI, including long-term context, retrieval, personalization, and state management.
  • Translate user needs, product signals, and research findings into practical memory architectures that improve real-world workflows.
  • Stay close to the research frontier on agent memory, retrieval systems, multimodal recall, belief revision, and long-running agents.

Build production memory systems
  • Design and build memory architectures for agentic AI, including episodic memory, semantic memory, user context, and long-term recall.
  • Build reliable systems that support memory decay, fact grounding, belief updates, context compaction, and retrieval across sessions.
  • Develop evaluation frameworks that measure memory quality, groundedness, reasoning reliability, personalization quality, and user outcomes.

Provide technical leadership
  • Set technical direction across architecture, modeling decisions, experimentation strategy, and production readiness - without requiring direct management authority.
  • Partner closely with product, engineering, design, science, and research teams to move work from ambiguous research ideas to shipped capabilities.
  • Communicate complex AI systems clearly to both technical and non-technical stakeholders.
What You'll Add to DigitalOcean
We're looking for engineers who have shipped real AI systems - not just prototyped them. You likely bring:
  • 8+ years of experience building production AI/ML systems, LLM-powered products, agentic workflows, retrieval systems, personalization systems, or applied research systems at scale.
  • Hands-on experience with memory and retrieval systems such as embeddings, semantic search, knowledge graphs, RAG, personalization, or long-term user context.
  • Strong understanding of agentic AI: memory, planning, tool use, state management, instruction following, self-correction, and action execution.
  • Strong software engineering in Python and at least one production systems language.
  • The judgment to balance research quality, product impact, latency, reliability, cost, and maintainability - and communicate those tradeoffs clearly
Preferred Qualifications
Strong signal
  • Experience building memory, retrieval, personalization, or long-context systems in production.
  • Experience with agent evaluation, offline/online experiments, feedback loops, or user outcome measurement.
  • Prior Staff, Senior Staff, Tech Lead, or equivalent senior IC experience.

Nice to have
  • Master's or PhD in CS, ML, AI, or a related field - or equivalent depth demonstrated through industry work.
  • Experience with production ML infrastructure: model serving, observability, data pipelines, feature stores, or experimentation platforms.
  • Research contributions via peer-reviewed publications, patents, open-source work, or demonstrated applied research impact in AI agents, memory systems, retrieval, personalization, or applied ML.
Compensation Range:
  • $216,800 - $271,000

*This is a hybrid role
JR: 2026-7946
#LI-Hybrid
Why You'll Like Working for DigitalOcean
  • We innovate with purpose. You'll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
  • We prioritize career development. At DO, you'll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
  • We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
  • We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
  • DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.

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