5,967 Machine Learning jobs in the United States

Bachelor's or Master's degree in science

• Minimum 5 years of experience in Machine Learning, Data Visualization and Web Analytics
• Strong understanding of Data-Driven Decision Making
• Experience with version control systems (e.g., Code Cloud)
• Excellent problem-solving, debugging, and troubleshooting skills
• Strong communication and collaboration abilities
• Familiarity with cloud platforms (e.g., Azure)
• Knowledge of Agile methodologies (e.g., SAFE)

DIGITAL TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. DIGITAL TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will DIGITAL TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract

Cupertino, California, United States Machine Learning and AI

Join an elite R&D team at Apple that is shaping the future of Machine Learning. We incubate breakthrough ideas, push the state of the art, and turn them into products that surprise and delight millions of customers worldwide. Our work spans cutting-edge algorithms, adaptive ML based systems, and new modalities—and directly influences the next generation of Apple devices and experiences.We are seeking a Senior Machine Learning Engineer to help pioneer new technologies and bring them to life in entirely new product categories and form factors. If you thrive at the intersection of science, engineering, and product impact, this is your chance to make a visible mark at scale.

As a member of our R&D team, you’ll contribute to high-impact projects that advance ML research and directly shape Apple’s future products. You will work across disciplines—from hardware to human interaction—tackling the riskiest problems and transforming bold ideas into reality.In this role, you will:*Develop and optimize adaptive ML algorithms that anticipate user needs and adapt to behavior in multi-tenant, multi-owner environments.*Collaborate with cross-functional partners (hardware, UX, human interaction) to invent and prototype features for entirely new form factors and user experiences.*Integrate ML models into a complex, multi-sensor, multi-modality product stack.*Design tools, analytics, and processes to perform deep, hands-on analysis and answer challenging technical questions.*Drive innovation from incubation to deployment, ensuring ideas make the leap from research into Apple products.

• MS in Computer Science or related field with 4+ years of industry experience.
• Solid knowledge of Machine Learning methods, statistical analysis, and reinforcement learning.
• Strong programming skills in C++, Python, and on-device stacks.
• Excellent communication and collaboration skills, with ability to work independently or in small teams.
• Detail-oriented, with a focus on accuracy and quality.

• Ph.D. in Computer Science or related field with 7+ years of experience.
• Expertise in machine learning, automated planning, and decision theory.
• Strong mathematical foundations in algorithms and statistics.
• Proven experience with Generative AI and Large Language Models (prompt engineering, fine-tuning, etc.).
• Prior experience building consumer-facing products is highly valued

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 .

Cupertino, California, United States Machine Learning and AI

Join an elite R&D team at Apple that is shaping the future of Machine Learning. We incubate breakthrough ideas, push the state of the art, and turn them into products that surprise and delight millions of customers worldwide. Our work spans cutting-edge algorithms, adaptive ML based systems, and new modalities—and directly influences the next generation of Apple devices and experiences.We are seeking a Senior Machine Learning Engineer to help pioneer new technologies and bring them to life in entirely new product categories and form factors. If you thrive at the intersection of science, engineering, and product impact, this is your chance to make a visible mark at scale.

As a member of our R&D team, you’ll contribute to high-impact projects that advance ML research and directly shape Apple’s future products. You will work across disciplines—from hardware to human interaction—tackling the riskiest problems and transforming bold ideas into reality.In this role, you will:*Develop and optimize adaptive ML algorithms that anticipate user needs and adapt to behavior in multi-tenant, multi-owner environments.*Collaborate with cross-functional partners (hardware, UX, human interaction) to invent and prototype features for entirely new form factors and user experiences.*Integrate ML models into a complex, multi-sensor, multi-modality product stack.*Design tools, analytics, and processes to perform deep, hands-on analysis and answer challenging technical questions.*Drive innovation from incubation to deployment, ensuring ideas make the leap from research into Apple products.

• MS in Computer Science or related field with 4+ years of industry experience.
• Solid knowledge of Machine Learning methods, statistical analysis, and reinforcement learning.
• Strong programming skills in C++, Python, and on-device stacks.
• Excellent communication and collaboration skills, with ability to work independently or in small teams.
• Detail-oriented, with a focus on accuracy and quality.

• Ph.D. in Computer Science or related field with 7+ years of experience.
• Expertise in machine learning, automated planning, and decision theory.
• Strong mathematical foundations in algorithms and statistics.
• Proven experience with Generative AI and Large Language Models (prompt engineering, fine-tuning, etc.).
• Prior experience building consumer-facing products is highly valued

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 .

In this role, you will develop and execute a strategy to enhance Ad supply personalization on FB App. You will spearhead innovative approaches to predict user engagement and optimize ad value, significantly boosting the efficiency and accuracy of our ad supply system.

Plan, initiate, and manage information technology projects for web-based products and platforms.

Lead the ideation, technical development, and launch of innovative tools, platforms, and/or products.

Drive product development with teams of world-class engineers and designers, while maintaining team health.

Work closely with cross-functional teams to drive product vision, define product requirements, coordinate resources from other groups (design, legal, etc.), and guide the team through key milestones.

Integrate usability studies, research, and market analysis into product requirements to improve engineer productivity and enhance user satisfaction.

Define and analyze metrics that inform the success of products. Identify and track key performance metrics.

Understand Facebook’s strategic and competitive position and deliver products that are aligned with our mission and recognized best in the industry.

Maximize efficiency in a constantly evolving environment where the process is fluid and creative solutions are the norm.

Minimum Qualifications

5+ years product management or related industry experience

Product management or related industry experience in one of the following areas: Machine Learning based personalization, ranking or recommendations services, or ad-tech

Requires a Bachelor's degree (or foreign degree equivalent) in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field and 2+ years of experience in the following:

Experience working in a technical environment with a broad, cross functional team to drive product vision, define product requirements, coordinate resources from other groups (design, legal, etc.), and guide the team through key milestones

Experience delivering technical presentations

Experience analyzing complex, large-scale data sets and making decisions based on data

Experience gathering requirements across diverse areas and users, and converting and developing them into a product solution

Technical experience with analytical tools, methodologies, and design

Displaying leadership, organizational and execution skills

Proven communication skills

For those who live in or expect to work from California if hired for this position, please click here for additional information.

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

$142,000/year to $201,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here .

Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form .

Apply for this job

Take the first step toward a rewarding career at Meta.

Explore jobs that match your skills and experience. Search by technology, team or location to find an opening that’s right for you.

Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here .

Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form .

In this role, you will develop and execute a strategy to enhance Ad supply personalization on FB App. You will spearhead innovative approaches to predict user engagement and optimize ad value, significantly boosting the efficiency and accuracy of our ad supply system.

Plan, initiate, and manage information technology projects for web-based products and platforms.

Lead the ideation, technical development, and launch of innovative tools, platforms, and/or products.

Drive product development with teams of world-class engineers and designers, while maintaining team health.

Work closely with cross-functional teams to drive product vision, define product requirements, coordinate resources from other groups (design, legal, etc.), and guide the team through key milestones.

Integrate usability studies, research, and market analysis into product requirements to improve engineer productivity and enhance user satisfaction.

Define and analyze metrics that inform the success of products. Identify and track key performance metrics.

Understand Facebook’s strategic and competitive position and deliver products that are aligned with our mission and recognized best in the industry.

Maximize efficiency in a constantly evolving environment where the process is fluid and creative solutions are the norm.

Minimum Qualifications

5+ years product management or related industry experience

Product management or related industry experience in one of the following areas: Machine Learning based personalization, ranking or recommendations services, or ad-tech

Requires a Bachelor's degree (or foreign degree equivalent) in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field and 2+ years of experience in the following:

Experience working in a technical environment with a broad, cross functional team to drive product vision, define product requirements, coordinate resources from other groups (design, legal, etc.), and guide the team through key milestones

Experience delivering technical presentations

Experience analyzing complex, large-scale data sets and making decisions based on data

Experience gathering requirements across diverse areas and users, and converting and developing them into a product solution

Technical experience with analytical tools, methodologies, and design

Displaying leadership, organizational and execution skills

Proven communication skills

For those who live in or expect to work from California if hired for this position, please click here for additional information.

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

$142,000/year to $201,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here .

Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form .

Apply for this job

Take the first step toward a rewarding career at Meta.

Explore jobs that match your skills and experience. Search by technology, team or location to find an opening that’s right for you.

Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here .

Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form .

Machine Learning Scientist III - CRM Machine Learning Science

United States - California - San Jose

Technology

Full‑Time Regular

10/22/2025

ID # R-98086

Expedia Group brands power global travel for everyone, everywhere. We design cutting‑edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success.

To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated, and we know that when one of us wins, we all win.

We provide a full benefits package, including exciting travel perks, generous time‑off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us.

Expedia Technology teams partner with our Product teams to create innovative products, services, and tools to deliver high‑quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction.

The Traveler Engagement & Loyalty team at Expedia is at the forefront of innovation in AI‑driven recommendation systems. We're dedicated to enhancing customer experiences, increasing engagement, and strengthening traveler relationships through cutting‑edge machine learning solutions. Our work directly impacts millions of travelers worldwide, shaping their journey from dreaming to booking and beyond.

Join a newly formed Machine Learning Science team at Expedia Group focused on transforming Customer Relationship Management (CRM) through intelligent, personalized outbound communications. From crafting tailored travel recommendations to optimizing engagement strategies, your work will directly influence millions of travelers globally. This is a rare opportunity to build foundational systems in a high‑impact domain, backed by Expedia’s AI‑first vision.

• Build and optimize recommendation models for CRM use cases, including personalized email campaigns and retention strategies.
• Apply deep learning and causal inference to sparse, noisy, and dynamic customer interaction data.
• Design and analyze A/B experiments to validate model performance and drive product decisions.
• Collaborate with ML Engineers to deploy models at scale, ensuring robustness and reliability in production environments.
• Translate business objectives into measurable machine learning goals aligned with customer engagement outcomes.
• Stay current with advancements in recommendation research, deep learning architectures, and personalization systems.

• MS, or BS in Computer Science, Machine Learning, Statistics, Engineering, or a related field; or equivalent professional experience.
• 3+ years of experience building production‑grade recommendation or personalization systems.
• Strong understanding of collaborative filtering, deep learning for recommendations, reinforcement learning, and causal inference.
• Proficiency in Python and ML frameworks such as TensorFlow or PyTorch.
• Experience with distributed systems like Apache Spark.
• Familiarity with A/B testing and experimentation methodologies.Ability to work with large‑scale, real‑world data with attention to bias, fairness, and privacy.
• Excellent communication skills for both technical and non‑technical audiences.

• PhD in Computer Science, Machine Learning, Statistics, Engineering, or a related field.
• Experience in the travel or e‑commerce industry.
• Familiarity with cloud platforms (AWS, GCP, Azure).
• Publications in top‑tier ML conferences or journals.
• Contributions to open‑source ML projects.
• Experience in personalization systems or CRM‑focused ML applications.
• Experience taking models from prototype to production in collaboration with Machine Learning Engineering teams.

Expedia Group is proud to offer a wide range of benefits to support employees and their families, including medical/dental/vision, paid time off, and an Employee Assistance Program. To fuel each employee’s passion for travel, we offer a wellness & travel reimbursement, travel discounts, and an International Airlines Travel Agent membership. View our full list of benefits.

The total cash range for this position in San Jose is $149,000.00 to $08,500.00. Employees in this role have the potential to increase their pay up to 238,500.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.

Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual's knowledge, skills, and experience. Pay ranges may be modified in the future.

If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request.

We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award‑winning culture by organizations like Forbes, TIME, Disability:IN, and others.

Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. This employer participates in E‑Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee’s I‑9 to confirm work authorization.

Machine Learning Scientist III - CRM Machine Learning Science

United States - California - San Jose

Technology

Full‑Time Regular

10/22/2025

ID # R-98086

Expedia Group brands power global travel for everyone, everywhere. We design cutting‑edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success.

To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated, and we know that when one of us wins, we all win.

We provide a full benefits package, including exciting travel perks, generous time‑off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us.

Expedia Technology teams partner with our Product teams to create innovative products, services, and tools to deliver high‑quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction.

The Traveler Engagement & Loyalty team at Expedia is at the forefront of innovation in AI‑driven recommendation systems. We're dedicated to enhancing customer experiences, increasing engagement, and strengthening traveler relationships through cutting‑edge machine learning solutions. Our work directly impacts millions of travelers worldwide, shaping their journey from dreaming to booking and beyond.

Join a newly formed Machine Learning Science team at Expedia Group focused on transforming Customer Relationship Management (CRM) through intelligent, personalized outbound communications. From crafting tailored travel recommendations to optimizing engagement strategies, your work will directly influence millions of travelers globally. This is a rare opportunity to build foundational systems in a high‑impact domain, backed by Expedia’s AI‑first vision.

• Build and optimize recommendation models for CRM use cases, including personalized email campaigns and retention strategies.
• Apply deep learning and causal inference to sparse, noisy, and dynamic customer interaction data.
• Design and analyze A/B experiments to validate model performance and drive product decisions.
• Collaborate with ML Engineers to deploy models at scale, ensuring robustness and reliability in production environments.
• Translate business objectives into measurable machine learning goals aligned with customer engagement outcomes.
• Stay current with advancements in recommendation research, deep learning architectures, and personalization systems.

• MS, or BS in Computer Science, Machine Learning, Statistics, Engineering, or a related field; or equivalent professional experience.
• 3+ years of experience building production‑grade recommendation or personalization systems.
• Strong understanding of collaborative filtering, deep learning for recommendations, reinforcement learning, and causal inference.
• Proficiency in Python and ML frameworks such as TensorFlow or PyTorch.
• Experience with distributed systems like Apache Spark.
• Familiarity with A/B testing and experimentation methodologies.Ability to work with large‑scale, real‑world data with attention to bias, fairness, and privacy.
• Excellent communication skills for both technical and non‑technical audiences.

• PhD in Computer Science, Machine Learning, Statistics, Engineering, or a related field.
• Experience in the travel or e‑commerce industry.
• Familiarity with cloud platforms (AWS, GCP, Azure).
• Publications in top‑tier ML conferences or journals.
• Contributions to open‑source ML projects.
• Experience in personalization systems or CRM‑focused ML applications.
• Experience taking models from prototype to production in collaboration with Machine Learning Engineering teams.

Expedia Group is proud to offer a wide range of benefits to support employees and their families, including medical/dental/vision, paid time off, and an Employee Assistance Program. To fuel each employee’s passion for travel, we offer a wellness & travel reimbursement, travel discounts, and an International Airlines Travel Agent membership. View our full list of benefits.

The total cash range for this position in San Jose is $149,000.00 to $08,500.00. Employees in this role have the potential to increase their pay up to 238,500.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.

Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual's knowledge, skills, and experience. Pay ranges may be modified in the future.

If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request.

We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award‑winning culture by organizations like Forbes, TIME, Disability:IN, and others.

Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. This employer participates in E‑Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee’s I‑9 to confirm work authorization.

Let’s build the future of medicine—together.

Join Enveda as a Machine Learning Scientist and help us transform natural compounds into life-changing medicines. We’re a team driven by curiosity and innovation—are you ready to make a difference?

Remote | Full-time | $160,000 USD |

What Makes Us Enveda

Life is smart, and we can learn from it. We’re reinventing drug discovery by harnessing nature’s intelligence. Our platform identifies new medicines four times faster than the industry standard—because patients can’t wait. What sets Enveda apart isn’t just what we do—it’s how we do it. Our culture is built on creativity, collaboration, and deep respect for each other. We believe “ People Create All Value” , and our success is driven by the extraordinary team turning our mission into reality every day.

We’re proud of the momentum we’ve built:

Jan 2024: Named a LinkedIn “Top Startup to Watch”

Mar 2024: Forbes America’s Best Startup Employers

Oct 2024: First drug to Phase 1 Clinical Trials

Dec 2024: Raised a $130M Series C

These milestones reflect the impact of our team and we’re just getting started, but they’re only possible because of the diverse talent, perspectives, and relentless drive of our team, and people like you.

Your Role in Our Mission

At Enveda, every role drives impact. As a Machine Learning Scientist , you’ll be at the forefront of delivering hope to patients everywhere. Your expertise in machine learning will be critical in accelerating our mission to elucidate molecular structure from mass spectrometric data —because every breakthrough starts with bold questions and brave actions.

• Collaborate with fellow machine learning scientists to advance the frontiers of molecular structure prediction and accelerate drug discovery from natural products.
• Contribute to open-ended R&D exploring new representations, architectures, and learning paradigms for fragment-based and spectrum-to-structure prediction tasks.
• Develop and refine in-house ML models to predict molecular structures from MS2 spectra, leveraging cutting-edge approaches in deep learning and massive, proprietary mass spectrometric datasets.
• Design and execute benchmarking pipelines for structure prediction tools and assess their utility in real-world discovery scenarios.
• Work closely with our biologists, chemists, and engineers to enable closed-loop model validation and help drive Enveda's mission to discover new medicines from nature.

• Ph.D. or equivalent research experience in Machine Learning, Computational Chemistry, Bioinformatics, Computer Science, or a related field.
• Demonstrated experience developing and evaluating ML models with a preference for familiarity with structure prediction, spectral analysis, or molecular representation learning.
• Fluency in the Python data science and ML stack including ML frameworks such as PyTorch.
• A track record of collaborative, cross-disciplinary research, particularly at the interface of ML and the life sciences.
• Strong written and verbal communication skills, including experience publishing scientific work or presenting technical findings.

If you’re passionate about innovation and impact, we encourage you to apply—even if you don’t meet every requirement.

Our Values: Curiosity | Agency | Journey | Charity | Unity

Benefits: 90% Medical, Dental, Vision | 401k Match | Flexible PTO | Adoption Assistance

At Enveda, we’re building a place where everyone can do the best work of their life. We are an equal opportunity employer and value diversity in all its forms. Apply now and join a team committed to shaping the future of drug discovery.

Let’s build the future of medicine—together.

Join Enveda as a Machine Learning Scientist and help us transform natural compounds into life-changing medicines. We’re a team driven by curiosity and innovation—are you ready to make a difference?

Remote | Full-time | $160,000 USD |

What Makes Us Enveda

Life is smart, and we can learn from it. We’re reinventing drug discovery by harnessing nature’s intelligence. Our platform identifies new medicines four times faster than the industry standard—because patients can’t wait. What sets Enveda apart isn’t just what we do—it’s how we do it. Our culture is built on creativity, collaboration, and deep respect for each other. We believe “ People Create All Value” , and our success is driven by the extraordinary team turning our mission into reality every day.

We’re proud of the momentum we’ve built:

Jan 2024: Named a LinkedIn “Top Startup to Watch”

Mar 2024: Forbes America’s Best Startup Employers

Oct 2024: First drug to Phase 1 Clinical Trials

Dec 2024: Raised a $130M Series C

These milestones reflect the impact of our team and we’re just getting started, but they’re only possible because of the diverse talent, perspectives, and relentless drive of our team, and people like you.

Your Role in Our Mission

At Enveda, every role drives impact. As a Machine Learning Scientist , you’ll be at the forefront of delivering hope to patients everywhere. Your expertise in machine learning will be critical in accelerating our mission to elucidate molecular structure from mass spectrometric data —because every breakthrough starts with bold questions and brave actions.

• Collaborate with fellow machine learning scientists to advance the frontiers of molecular structure prediction and accelerate drug discovery from natural products.
• Contribute to open-ended R&D exploring new representations, architectures, and learning paradigms for fragment-based and spectrum-to-structure prediction tasks.
• Develop and refine in-house ML models to predict molecular structures from MS2 spectra, leveraging cutting-edge approaches in deep learning and massive, proprietary mass spectrometric datasets.
• Design and execute benchmarking pipelines for structure prediction tools and assess their utility in real-world discovery scenarios.
• Work closely with our biologists, chemists, and engineers to enable closed-loop model validation and help drive Enveda's mission to discover new medicines from nature.

• Ph.D. or equivalent research experience in Machine Learning, Computational Chemistry, Bioinformatics, Computer Science, or a related field.
• Demonstrated experience developing and evaluating ML models with a preference for familiarity with structure prediction, spectral analysis, or molecular representation learning.
• Fluency in the Python data science and ML stack including ML frameworks such as PyTorch.
• A track record of collaborative, cross-disciplinary research, particularly at the interface of ML and the life sciences.
• Strong written and verbal communication skills, including experience publishing scientific work or presenting technical findings.

If you’re passionate about innovation and impact, we encourage you to apply—even if you don’t meet every requirement.

Our Values: Curiosity | Agency | Journey | Charity | Unity

Benefits: 90% Medical, Dental, Vision | 401k Match | Flexible PTO | Adoption Assistance

At Enveda, we’re building a place where everyone can do the best work of their life. We are an equal opportunity employer and value diversity in all its forms. Apply now and join a team committed to shaping the future of drug discovery.