Boston, MA

Senior Machine Learning Engineer

Talener

Machine Learning Engineer
Join an industry-leading life sciences technology organization that develops advanced software and AI solutions used by pharmaceutical, biotechnology, and research organizations worldwide. Their flagship AI platform brings cutting-edge machine learning directly into the workflows scientists use every day, helping drug discovery teams make faster, data-driven decisions. The platform combines large-scale scientific datasets, predictive modeling, and cloud-based infrastructure to accelerate the identification and development of new therapies. 
About the Role
We are seeking a product-focused Machine Learning Engineer to help build and scale a next-generation AI platform used in drug discovery and scientific research. This individual will work across the full machine learning lifecycle, from data preparation and experimentation through model development, deployment, and optimization.
You will collaborate closely with software engineers, scientists, and product teams to transform advanced machine learning research into reliable, production-ready solutions that deliver real-world impact. 
What You'll Do
  • Design, build, and deploy machine learning models that support scientific discovery and predictive analytics. 
  • Develop solutions involving graph neural networks, transfer learning, molecular prediction models, and modern deep learning techniques.
  • Create scalable training, evaluation, and model selection pipelines. 
  • Curate and improve large scientific datasets while ensuring data quality and reproducibility. 
  • Partner with engineering teams to deploy containerized ML services in cloud-based environments. 
  • Research and evaluate emerging machine learning approaches for incorporation into the platform. 
Qualifications
  • 5+ years of experience building and delivering machine learning solutions in production environments. 
  • Strong Python development skills. 
  • Deep experience with PyTorch, TensorFlow, JAX, or similar frameworks. 
  • Strong understanding of model training, evaluation, optimization, and deployment. 
  • Experience translating complex machine learning problems into measurable business outcomes. 
Preferred
  • Experience in life sciences, chemistry, drug discovery, bioinformatics, or related scientific domains. 
  • Knowledge of RDKit, Chemprop, federated learning, Kubernetes, Docker, and cloud-based ML infrastructure. 
This is an opportunity to work on highly impactful AI products that directly support scientific innovation and the development of life-changing therapies.
Compensation: $180,000 – $250,000 base salary (Based on experience) plus benefits and equity  
If you are interested, please apply directly for immediate consideration or reach out to Brian Samela at bsamela@talener.com
#LI-Remote
 
 

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Their flagship AI platform brings cutting-edge machine learning directly into the&nbsp;</span><span fr-original-style="font-family:Aptos;" style="font-family: Aptos; box-sizing: border-box; font-size: inherit;">workflows</span><span fr-original-style="font-family:Aptos;" style="font-family: Aptos; box-sizing: border-box; font-size: inherit;">&nbsp;scientists use every day, helping drug discovery teams make faster, data-driven decisions. The platform combines large-scale scientific datasets, predictive modeling, and cloud-based infrastructure to accelerate the identification and development of new therapies.&nbsp;</span></div><div fr-original-style="line-height:116%;font-size:16px;" style="line-height: 116%; font-size: 16px; box-sizing: border-box; font-family: inherit;"><span fr-original-style="font-family:Aptos;" style="font-family: Aptos; box-sizing: border-box; font-size: inherit;"><strong fr-original-style="" style="box-sizing: border-box; font-weight: bold; font-family: inherit; font-size: inherit;">About the Role</strong></span></div><div fr-original-style="line-height:116%;font-size:16px;" style="line-height: 116%; font-size: 16px; box-sizing: border-box; font-family: inherit;"><span fr-original-style="font-family:Aptos;" style="font-family: Aptos; box-sizing: border-box; font-size: inherit;">We are seeking a product-focused Machine Learning Engineer to help build and scale a next-generation AI platform used in drug discovery and scientific research. This individual will work across the full machine learning lifecycle, from data preparation and experimentation through model development, deployment, and optimization.</span></div><div fr-original-style="line-height:116%;font-size:16px;" style="line-height: 116%; font-size: 16px; box-sizing: border-box; font-family: inherit;"><span fr-original-style="font-family:Aptos;" style="font-family: Aptos; box-sizing: border-box; font-size: inherit;">You will collaborate closely with software engineers, scientists, and product teams to transform advanced machine learning research into reliable, production-ready solutions that deliver real-world impact.</span><span fr-original-style="font-family:Aptos;" style="font-family: Aptos; box-sizing: border-box; font-size: inherit;">&nbsp;</span></div><div fr-original-style="line-height:116%;font-size:16px;" style="line-height: 116%; font-size: 16px; box-sizing: border-box; font-family: inherit;"><span fr-original-style="font-family:Aptos;" style="font-family: Aptos; box-sizing: border-box; font-size: inherit;"><strong fr-original-style="" style="box-sizing: border-box; font-weight: bold; font-family: inherit; font-size: inherit;">What You&#39;ll Do</strong></span></div><ul fr-original-style="" style="box-sizing: border-box; font-family: inherit; font-size: inherit; margin-top: 0px; margin-bottom: 10px;" type="disc"><li fr-original-style="line-height:116%;font-family:serif;font-size:13px;" style="line-height: 116%; font-family: serif; font-size: 13px; box-sizing: border-box;"><span fr-original-style="font-family:Aptos;font-size:16px;" style="font-family: Aptos; font-size: 16px; box-sizing: border-box;">Design, build, and deploy machine learning models that support scientific discovery and predictive analytics.&nbsp;</span></li><li fr-original-style="line-height:116%;font-family:serif;font-size:13px;" style="line-height: 116%; font-family: serif; font-size: 13px; box-sizing: border-box;"><span fr-original-style="font-family:Aptos;font-size:16px;" style="font-family: Aptos; font-size: 16px; box-sizing: border-box;">Develop solutions involving graph neural networks, transfer learning, molecular prediction models, and&nbsp;</span><span fr-original-style="font-family:Aptos;font-size:16px;" style="font-family: Aptos; font-size: 16px; box-sizing: border-box;">modern deep</span><span fr-original-style="font-family:Aptos;font-size:16px;" style="font-family: Aptos; font-size: 16px; box-sizing: border-box;">&nbsp;learning techniques</span><span fr-original-style="font-family:Aptos;font-size:16px;" style="font-family: Aptos; font-size: 16px; box-sizing: border-box;">.</span></li><li fr-original-style="line-height:116%;font-family:serif;font-size:13px;" style="line-height: 116%; font-family: serif; font-size: 13px; box-sizing: border-box;"><span fr-original-style="font-family:Aptos;font-size:16px;" style="font-family: Aptos; font-size: 16px; box-sizing: border-box;">Create scalable training, evaluation, and model selection pipelines.&nbsp;</span></li><li fr-original-style="line-height:116%;font-family:serif;font-size:13px;" style="line-height: 116%; font-family: serif; font-size: 13px; box-sizing: border-box;"><span fr-original-style="font-family:Aptos;font-size:16px;" style="font-family: Aptos; font-size: 16px; box-sizing: border-box;">Curate and improve large scientific datasets while ensuring data quality and reproducibility.&nbsp;</span></li><li fr-original-style="line-height:116%;font-family:serif;font-size:13px;" style="line-height: 116%; font-family: serif; font-size: 13px; box-sizing: border-box;"><span fr-original-style="font-family:Aptos;font-size:16px;" style="font-family: Aptos; font-size: 16px; box-sizing: border-box;">Partner</span><span fr-original-style="font-family:Aptos;font-size:16px;" style="font-family: Aptos; font-size: 16px; box-sizing: border-box;">&nbsp;with engineering teams to deploy containerized ML services in cloud-based environments.</span><span fr-original-style="font-family:Aptos;font-size:16px;" style="font-family: Aptos; font-size: 16px; box-sizing: border-box;">&nbsp;</span></li><li fr-original-style="line-height:116%;font-family:serif;font-size:13px;" style="line-height: 116%; font-family: serif; font-size: 13px; box-sizing: border-box;"><span fr-original-style="font-family:Aptos;font-size:16px;" style="font-family: Aptos; font-size: 16px; box-sizing: border-box;">Research and evaluate emerging machine learning approaches for incorporation into the platform.&nbsp;</span></li></ul><div fr-original-style="line-height:116%;font-size:16px;" style="line-height: 116%; font-size: 16px; box-sizing: border-box; font-family: inherit;"><span fr-original-style="font-family:Aptos;" style="font-family: Aptos; box-sizing: border-box; font-size: inherit;"><strong fr-original-style="" style="box-sizing: border-box; font-weight: bold; font-family: inherit; font-size: inherit;">Qualifications</strong></span></div><ul fr-original-style="" style="box-sizing: border-box; font-family: inherit; font-size: inherit; margin-top: 0px; margin-bottom: 10px;" type="disc"><li fr-original-style="line-height:116%;font-family:serif;font-size:13px;" style="line-height: 116%; font-family: serif; font-size: 13px; box-sizing: border-box;"><span fr-original-style="font-family:Aptos;font-size:16px;" style="font-family: Aptos; font-size: 16px; box-sizing: border-box;">5+ years of experience building and delivering machine learning solutions in production environments.&nbsp;</span></li><li fr-original-style="line-height:116%;font-family:serif;font-size:13px;" style="line-height: 116%; font-family: serif; font-size: 13px; box-sizing: border-box;"><span fr-original-style="font-family:Aptos;font-size:16px;" style="font-family: Aptos; font-size: 16px; box-sizing: border-box;">Strong Python development skills.&nbsp;</span></li><li fr-original-style="line-height:116%;font-family:serif;font-size:13px;" style="line-height: 116%; font-family: serif; font-size: 13px; box-sizing: border-box;"><span fr-original-style="font-family:Aptos;font-size:16px;" style="font-family: Aptos; font-size: 16px; box-sizing: border-box;">Deep experience with&nbsp;</span><span fr-original-style="font-family:Aptos;font-size:16px;" style="font-family: Aptos; font-size: 16px; box-sizing: border-box;">PyTorch</span><span fr-original-style="font-family:Aptos;font-size:16px;" style="font-family: Aptos; font-size: 16px; box-sizing: border-box;">, TensorFlow, JAX, or similar frameworks.&nbsp;</span></li><li fr-original-style="line-height:116%;font-family:serif;font-size:13px;" style="line-height: 116%; font-family: serif; font-size: 13px; box-sizing: border-box;"><span fr-original-style="font-family:Aptos;font-size:16px;" style="font-family: Aptos; font-size: 16px; box-sizing: border-box;">Strong understanding of model training, evaluation, optimization, and deployment.&nbsp;</span></li><li fr-original-style="line-height:116%;font-family:serif;font-size:13px;" style="line-height: 116%; font-family: serif; font-size: 13px; box-sizing: border-box;"><span fr-original-style="font-family:Aptos;font-size:16px;" style="font-family: Aptos; font-size: 16px; box-sizing: border-box;">Experience translating complex machine learning problems into measurable business outcomes.&nbsp;</span></li></ul><div fr-original-style="line-height:116%;font-size:16px;" style="line-height: 116%; font-size: 16px; box-sizing: border-box; font-family: inherit;"><span fr-original-style="font-family:Aptos;" style="font-family: Aptos; box-sizing: border-box; font-size: inherit;"><strong fr-original-style="" style="box-sizing: border-box; font-weight: bold; font-family: inherit; font-size: inherit;">Preferred</strong></span></div><ul fr-original-style="" style="box-sizing: border-box; font-family: inherit; font-size: inherit; margin-top: 0px; margin-bottom: 10px;" type="disc"><li fr-original-style="line-height:116%;font-family:serif;font-size:13px;" style="line-height: 116%; font-family: serif; font-size: 13px; box-sizing: border-box;"><span fr-original-style="font-family:Aptos;font-size:16px;" style="font-family: Aptos; font-size: 16px; box-sizing: border-box;">Experience in life sciences, chemistry, drug discovery, bioinformatics, or related scientific domains.&nbsp;</span></li><li fr-original-style="line-height:116%;font-family:serif;font-size:13px;" style="line-height: 116%; font-family: serif; font-size: 13px; box-sizing: border-box;"><span fr-original-style="font-family:Aptos;font-size:16px;" style="font-family: Aptos; font-size: 16px; box-sizing: border-box;">Knowledge of&nbsp;</span><span fr-original-style="font-family:Aptos;font-size:16px;" style="font-family: Aptos; font-size: 16px; box-sizing: border-box;">RDKit</span><span fr-original-style="font-family:Aptos;font-size:16px;" style="font-family: Aptos; font-size: 16px; box-sizing: border-box;">,&nbsp;</span><span fr-original-style="font-family:Aptos;font-size:16px;" style="font-family: Aptos; font-size: 16px; box-sizing: border-box;">Chemprop</span><span fr-original-style="font-family:Aptos;font-size:16px;" style="font-family: Aptos; font-size: 16px; box-sizing: border-box;">, federated learning, Kubernetes, Docker, and cloud-based ML infrastructure.&nbsp;</span></li></ul><div fr-original-style="line-height:116%;font-size:16px;" style="line-height: 116%; font-size: 16px; box-sizing: border-box; font-family: inherit;"><span fr-original-style="font-family:Aptos;" style="font-family: Aptos; box-sizing: border-box; font-size: inherit;">This is an opportunity to work on highly impactful AI products that directly support scientific innovation and the development of life-changing therapies.</span></div><div fr-original-style="line-height:116%;font-size:16px;" style="line-height: 116%; font-size: 16px; box-sizing: border-box; font-family: inherit;"><span fr-original-style="font-family:Aptos;" style="font-family: Aptos; box-sizing: border-box; font-size: inherit;"><strong fr-original-style="" style="box-sizing: border-box; font-weight: bold; font-family: inherit; font-size: inherit;">Compensation:</strong></span><span fr-original-style="font-family:Aptos;" style="font-family: Aptos; box-sizing: border-box; font-size: inherit;"><strong fr-original-style="" style="box-sizing: border-box; font-weight: bold; font-family: inherit; font-size: inherit;">&nbsp;</strong></span><span fr-original-style="font-family:Aptos;" style="font-family: Aptos; box-sizing: border-box; font-size: inherit;">$</span><span fr-original-style="font-family:Aptos;" style="font-family: Aptos; box-sizing: border-box; font-size: inherit;">180</span><span fr-original-style="font-family:Aptos;" style="font-family: Aptos; box-sizing: border-box; font-size: inherit;">,000 – $2</span><span fr-original-style="font-family:Aptos;" style="font-family: Aptos; box-sizing: border-box; font-size: inherit;">50</span><span fr-original-style="font-family:Aptos;" style="font-family: Aptos; box-sizing: border-box; font-size: inherit;">,000 base salary (Based on experience) plus benefits and equity</span><span fr-original-style="font-family:Aptos;" style="font-family: Aptos; box-sizing: border-box; font-size: inherit;">&nbsp;</span><span fr-original-style="font-family:Aptos;" style="font-family: Aptos; box-sizing: border-box; font-size: inherit;">&nbsp;</span></div><div fr-original-style="line-height:116%;font-size:16px;" style="line-height: 116%; font-size: 16px; box-sizing: border-box; font-family: inherit;"><span fr-original-style="font-family:Aptos;" style="font-family: Aptos; box-sizing: border-box; font-size: inherit;">If you are interested, please apply directly for immediate consideration</span><span fr-original-style="font-family:Aptos;" style="font-family: Aptos; box-sizing: border-box; font-size: inherit;">&nbsp;</span><span fr-original-style="font-family:Aptos;" style="font-family: Aptos; box-sizing: border-box; font-size: inherit;">or</span><span fr-original-style="font-family:Aptos;" style="font-family: Aptos; box-sizing: border-box; font-size: inherit;">&nbsp;</span><span fr-original-style="font-family:Aptos;" style="font-family: Aptos; box-sizing: border-box; font-size: inherit;">reach out to</span><span fr-original-style="font-family:Aptos;" style="font-family: Aptos; box-sizing: border-box; font-size: inherit;">&nbsp;</span><span fr-original-style="font-family:Aptos;" style="font-family: Aptos; box-sizing: border-box; font-size: inherit;">Brian Samela&nbsp;</span><span fr-original-style="font-family:Aptos;" style="font-family: Aptos; box-sizing: border-box; font-size: inherit;">at</span><span fr-original-style="font-family:Aptos;" style="font-family: Aptos; box-sizing: border-box; font-size: inherit;">&nbsp;</span><a fr-original-style="" href="mailto:bsamela@talener.com" style="box-sizing: border-box; user-select: auto; background: transparent; color: rgb(0, 112, 192); text-decoration: none; font-family: inherit; font-size: inherit; cursor: pointer;"><span fr-original-style="font-family:Aptos;color:#467886;" style="font-family: Aptos; color: rgb(70, 120, 134); box-sizing: border-box; font-size: inherit;">bsamela@talener.com</span></a></div><div fr-original-style="line-height:116%;font-size:16px;" style="line-height: 116%; font-size: 16px; box-sizing: border-box; font-family: inherit;"><span fr-original-style="font-family:Aptos;" style="font-family: Aptos; box-sizing: border-box; font-size: inherit;">#LI-Remote</span></div><div fr-original-style="line-height:116%;font-size:16px;" style="line-height: 116%; font-size: 16px; box-sizing: border-box; font-family: inherit;"><span fr-original-style="font-family:Aptos;" style="font-family: Aptos; box-sizing: border-box; font-size: inherit;">&nbsp;</span></div><div fr-original-style="line-height:116%;font-size:16px;" style="line-height: 116%; font-size: 16px; box-sizing: border-box; font-family: inherit;"><span fr-original-style="font-family:Aptos;" style="font-family: Aptos; box-sizing: border-box; font-size: inherit;">&nbsp;</span></div>”,”employmentType”:”FULL_TIME”,”hiringOrganization”:{“@type”:”Organization”,”name”:”Talener”},”jobLocation”:{“@type”:”Place”,”address”:{“@type”:”PostalAddress”,”streetAddress”:null,”addressLocality”:”Boston”,”addressRegion”:”MA”,”postalCode”:null,”addressCountry”:null}},”title”:”Senior Machine Learning Engineer”,”url”:”https://talener.com/jobs/?cjobid=AZ1264001022&rpid=1747463&postid=fA7u5jlNbXo”,”identifier”:{“@type”:”PropertyValue”,”name”:”Talener”,”value”:null}}

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