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Temporary Machine Learning Scientist Jobs (NOW HIRING)

Machine Learning Scientist, BioML

Emeryville, CA ยท On-site +1

$200K - $330K/yr

We're looking for a motivated and creative Machine Learning (ML) Scientist to drive research into models at the intersection of complex protein biology and AI. This position offers an opportunity to ...

Machine Learning Scientist II Are you passionate about using machine learning to improve Customer Experience? Would you like to work in the fast-paced, competitive, customer-focused, and data-rich ...

Machine Learning Scientist II Are you passionate about using machine learning to improve Customer Experience? Would you like to work in the fast-paced, competitive, customer-focused, and data-rich ...

Sr Machine Learning Scientist

Thousand Oaks, CA ยท On-site +1

$96K - $131K/yr

Machine Learning Scientist What you will do Let's do this. Let's change the world. Within Amgen's Research and Development organization, the Therapeutic Protein Design (TPD) team supports the broad ...

About the Team This role work closely with a Senior Machine Learning Scientist and our Lead Machine Learning Infrastructure Engineer, alongside cross-functional partners in Cloud Engineering, Product ...

Sr Machine Learning Scientist

Thousand Oaks, CA ยท On-site

$96K - $131K/yr

Machine Learning Scientist What you will do Let's do this. Let's change the world. Within Amgen's Research and Development organization, the Therapeutic Protein Design (TPD) team supports the broad ...

$85K - $116K/yr

Machine Learning Scientist What you will do Let'sdo this.Let'schange the world.Within Amgen's Research and Development organization, the Therapeutic Protein Design (TPD) team supports the broad goal ...

Machine Learning Scientist What you will do Let'sdo this.Let'schange the world.Within Amgen's Research and Development organization, the Therapeutic Protein Design (TPD) team supports the broad goal ...

The Principal Machine Learning Scientist will advance computer vision systems for warehouse inventory scanning, overseeing the full ML lifecycle and collaborating with cross-functional teams to ...

As a Data Scientist Lead - WFP Machine Learning Scientist, within JPMorganChase, you will engage in projects by the Artificial Intelligence(AI)/Machine Learning(ML) team that can be complex, data ...

$78K - $107K/yr

Machine Learning Scientist What you will do Let'sdo this.Let'schange the world.Within Amgen's Research and Development organization, the Therapeutic Protein Design (TPD) team supports the broad goal ...

Senior Machine Learning Scientist

Seattle, WA ยท On-site

$104K - $142K/yr

Your Impact We are seeking highly skilled and innovative Machine Learning Scientists to join our AI team, focusing on AI applications (LLM and Computer Vision) in Cloud, Devices and Robotics. As a ...

Your Impact We are seeking highly skilled and innovative Machine Learning Scientists to join our AI team, focusing on AI applications (LLM and Computer Vision) in Cloud, Devices and Robotics. As a ...

Your Impact We are seeking highly skilled and innovative Machine Learning Scientists to join our AI team, focusing on AI applications (LLM and Computer Vision) in Cloud, Devices and Robotics. As a ...

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Temporary Machine Learning Scientist information

What is the difference between Temporary Machine Learning Scientist vs Data Scientist?

AspectTemporary Machine Learning ScientistData Scientist
CredentialsTypically requires a master's or PhD in computer science, data science, or related fields; experience with machine learning frameworksUsually holds a bachelor's or master's in data science, statistics, or related fields; strong analytical skills
Work EnvironmentProject-based, often contract roles in tech, finance, or healthcare companiesFull-time or contract roles across various industries, focusing on data analysis and insights
Employer UsageHired for specialized machine learning projects, prototypes, or research tasksEngaged in data analysis, reporting, and building predictive models

In summary, a Temporary Machine Learning Scientist focuses on developing and implementing machine learning models on a temporary basis, often requiring advanced credentials and specialized skills. In contrast, a Data Scientist has a broader role in analyzing data and generating insights, with less emphasis solely on machine learning techniques.

What are Temporary Machine Learning Scientists?

Temporary Machine Learning Scientists are professionals hired on a short-term basis to develop, implement, and optimize machine learning models within an organization. They typically work on specific projects or to fill a temporary gap in expertise, often collaborating with data scientists, engineers, and stakeholders. Their responsibilities may include data preprocessing, feature engineering, model selection, and evaluation. These roles are ideal for projects with defined timelines or exploratory research that does not require a permanent hire. Temporary contracts can range from a few months to a year, depending on the project's scope and needs.

What types of projects do Temporary Machine Learning Scientists typically work on, and how do they integrate with existing teams?

Temporary Machine Learning Scientists are often brought in to support short-term projects such as data analysis, model prototyping, or improving existing machine learning pipelines. Their work usually involves collaborating closely with data engineers, software developers, and product managers to ensure seamless integration of models into production systems. Since the role is temporary, effective communication and quick adaptation to the team's workflow are crucial. These scientists are expected to rapidly understand the company's data and objectives, deliver actionable insights, and document their work for team continuity after their contract ends.

What are the key skills and qualifications needed to thrive as a Temporary Machine Learning Scientist, and why are they important?

To thrive as a Temporary Machine Learning Scientist, you typically need advanced knowledge of machine learning algorithms, data analysis, programming skills (such as Python or R), and a relevant degree in computer science or a related field. Familiarity with frameworks like TensorFlow, PyTorch, and tools for data processing and model deployment is often required, along with experience using cloud platforms such as AWS or Azure. Strong problem-solving abilities, adaptability, and effective communication skills help you quickly integrate into teams and deliver results on short-term projects. These skills ensure you can efficiently contribute to impactful solutions and adapt to rapidly changing project requirements.
More about Temporary Machine Learning Scientist jobs
What cities are hiring for Temporary Machine Learning Scientist jobs? Cities with the most Temporary Machine Learning Scientist job openings:
What are the most commonly searched types of Machine Learning Scientist jobs? The most popular types of Machine Learning Scientist jobs are:
What states have the most Temporary Machine Learning Scientist jobs? States with the most job openings for Temporary Machine Learning Scientist jobs include:
Infographic showing various Temporary Machine Learning Scientist job openings in the United States as of July 2026, with employment types broken down into 20% Internship, and 80% Full Time. Highlights an 60% In-person, and 40% Remote job distribution.

Machine Learning Scientist, BioML

Profluent

Emeryville, CA โ€ข On-site, Remote

$200K - $330K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 17 days ago


Job description

Profluent is an AI-first protein design company. Founded in 2022, we develop deep generative models to design and validate novel, functional proteins to revolutionize biomedicine. Based in Emeryville, CA, we are backed by leading investors including Altimeter Capital, Bezos Expeditions, Spark Capital, Insight Partners, Air Street Capital, AIX Ventures, and Convergent Ventures, and have raised over $150M to date.
We're looking for a motivated and creative Machine Learning (ML) Scientist to drive research into models at the intersection of complex protein biology and AI. This position offers an opportunity to work at the forefront of generative modeling research across language processing, representation learning, and protein engineering. You should be a self-directed researcher who has the ability to rapidly prototype and evaluate new models and algorithms in the biomolecular domain.
As an early employee, you will proactively shape the direction of our machine learning efforts and collaborate across diverse teams of computational and experimental scientists.
Responsibilities
  • Design and develop state-of-the-art predictive and generative models incorporating domain-specific evolutionary and experimental data
  • Leverage massive-scale protein and nucleic acid data to train specialized models for protein understanding and design
  • Curate relevant datasets and design tasks for rigorous evaluation of generative models
  • Collaborate across the machine learning and protein design teams to adapt and apply techniques for experimental validation
  • Implement, analyze, and interpret multiple computational approaches and present results to colleagues in regular update meetings
  • Work within a collaborative, fast-paced, interdisciplinary team across biology and machine learning to help shape the scientific and strategic vision of the company

Qualifications
  • PhD (or equivalent industry experience) in Computer Science, Machine Learning, Natural Language Processing, Applied Math, Computational Biology, Statistics, or a related field
  • Experience with conceiving of, implementing, and evaluating novel machine learning techniques at the intersection with biology
  • Publications at major machine learning conferences (NeurIPS, ICML, ICLR) or scientific journals (Nature, Science, Nature Biotech, Nature Methods, PNAS)
  • Experience with modern deep learning frameworks such as Pytorch or Jax

Preferences
  • Familiarity with foundational biology of proteins and nucleic acids
  • Experience developing machine learning models for proteins (language models, structure prediction, design)
  • Experience with cloud compute platforms (GCP, AWS, Azure, OCI)
  • Previous experience in data extraction and curation from bioinformatics data sources
  • Familiarity with wet lab experimental assays and associated limitations
  • 3 to 5 years of industry experience

What We Offer
  • High-growth opportunity with meaningful impact on the future of protein design
  • Competitive compensation package with equity participation
  • 401(k) with a strong employer match
  • Comprehensive benefits including health/dental/vision insurance
  • Generous PTO policy and commitment to work-life balance
  • Professional development opportunities in a cutting-edge field at the intersection of AI and biology

Profluent Bio, Inc is an equal opportunity employer promoting diversity and inclusion in the workspace. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical conditions, veteran status, sexual orientation, gender (including gender identity and gender expression), sex (which includes pregnancy, childbirth, and breastfeeding), genetic information, taking or requesting statutorily protected leave, or any other basis protected by law.
Employment Eligibility Verification
Legal authorization to work in the United States is required. In compliance with federal law, all persons hired must verify their identity and work eligibility and complete the required employment verification form upon hire.
Hiring Salary Range
$200,000-$330,000 USD